{ "count" : 104996, "data" : [ { "id" : "69fa9cbf4c40e2acd174f8e0", "title" : "Sr. Database Specialist SA, Media & Entertainment, ASPI MEGS", "company" : "Amazon Web Services, Inc.", "industry" : "Solutions Architect, Solution Architect, Cloud Computing", "salary" : { "min" : 153600.0, "max" : 207800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Santa Monica, California, USA", "locations" : [ "Santa Monica, California, USA" ], "timestamp" : "2026-06-15T04:40:31.816", "fingerprint" : "a5baa69a21c442e17ddcd1901eedeb1d2f1511060ea57adc403eb0d6324f6f96", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10411881/apply", "externalId" : "9d4982e5-bef1-465d-8986-a7f3b02f401a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Santa Monica", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0194704,-118.4912270" } ], "locationText" : "Santa Monica, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, SQL, NoSQL, Data modeling, Database performance tuning, Database security, Database backup, Database recovery, Scripting languages, Data warehousing, Data lakes, ETL", "professionalSkills" : [ "Database administration", "Performance tuning", "Data modeling", "Data security", "Backup and recovery", "Scripting" ], "hardSkillsList" : [ "Database administration", "Performance tuning", "Data modeling", "Database security", "Backup and recovery", "Scripting", "SQL", "NoSQL" ], "hardSkills" : [ { "name" : "Database administration", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Database security", "level" : "intermediate" }, { "name" : "Backup and recovery", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "NoSQL", "level" : "intermediate" } ], "majorSkills" : "Database administration, AWS, SQL, NoSQL", "majorSkillsList" : [ "Database administration", "AWS", "SQL", "NoSQL" ], "coreResponsibilities" : "Administer and maintain databases, Ensure database performance and availability, Implement and manage database security, Perform database backup and recovery, Develop and maintain database scripts, Troubleshoot database issues, Collaborate with development teams, Optimize database queries, Design and implement data models, Support data warehousing initiatives, Manage data lake environments, Implement ETL processes, Ensure data governance standards, Provide expertise on cloud data services, Support media and entertainment data needs", "teamCollaboration" : "Development teams", "domainKnowledge" : "Media and entertainment data", "domainList" : [ "media-and-entertainment-data" ], "domainSpecificKnowledge" : [ "Media and entertainment data" ], "problemSolvingSkills" : "Troubleshoot database issues", "qualificationsBasic" : "5+ years of experience in database administration, Experience with AWS, Experience with relational databases, Experience with NoSQL databases, Experience with data modeling, Experience with database performance tuning, Experience with database security, Experience with database backup and recovery, Experience with scripting languages, Experience with SQL, Bachelor's degree or equivalent experience", "qualificationsPreferred" : "Experience with large-scale data warehousing, Experience with data lakes, Experience with ETL processes, Experience with data governance, Experience with cloud data services, Experience with media and entertainment industry data", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you a customer-obsessed builder with deep expertise in database design and architecture? Do you have the technical acumen and business savvy to help customers successfully migrate their most critical data workloads to AWS? Join the Worldwide Specialist Organization (WWSO) within the Media & Entertainment team as a Senior Database Specialist Solutions Architect—a senior individual contributor role requiring deep technical expertise in Database technologies and Data Architecture and Data foundation for AI. The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), responsible for driving revenue and accelerating adoption across enterprise customers. We work backwards from our customers' most complex migration challenges to develop and execute go-to-market plans that transform legacy infrastructure into modern, cloud-native architectures. As part of WWSO, you will contribute across the full lifecycle of AWS customer migration initiatives—from initial assessment to post-migration optimization. Key job responsibilities In this role, you will translate customer infrastructure challenges into comprehensive data architecture strategies leveraging AWS. You will define and design large-scale Database/Data architectures that accelerate adoption of AWS services across storage, data, and analytics domains. You will engage with senior engineers, architects, data leaders, and executives at strategic enterprise customers to influence migration decisions and provide structured feedback to AWS product teams. As the ideal candidate, you bring deep technical expertise in enterprise migrations and the business acumen required to lead complex data center exit programs with large enterprises. You have hands-on experience with databases, data migration strategies, application modernization patterns, database migrations, and infrastructure-as-code approaches. You are able to credibly advise senior technical and executive stakeholders on migration trade-offs, risks, and long-term optimization strategies. Core Responsibilities: - Collaborate with business development colleagues to provide technical input into migration GTM strategy and support field marketing through technical events, campaigns, and customer engagements - Lead complex database architecture and problem solving to unblock customers' most critical data needs and modernization initiatives - Design and execute data migration strategies, design and implement relational and non-relational data architectures - Represent the voice of the customer and collaborate with field and central teams to bring migration feedback to product teams - Act as a thought leader in Database and Data technologies by sharing best practices through AWS blogs, whitepapers, reference architectures, migration patterns, and public speaking engagements such as AWS Summits and AWS re:Invent - Guide and support an internal AWS community of technical subject matter experts aligned to your customers, including the creation of field enablement materials for the broader Solution Architect population - Partner with AWS Database Competency Partners and ISVs to deliver comprehensive data solutions for M&E customers. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 8+ years of IT development or implementation/consulting in the software or Internet industries experience Preferred Qualifications: - 5+ years of infrastructure architecture, database architecture and networking experience - Knowledge of AWS services, market segments, customer base and industry verticals - Experience working with end user or developer communities - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Experience architecting/operating solutions built on AWS Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Mountain View - 176,600.00 - 239,000.00 USD annually USA, CA, Santa Monica - 153,600.00 - 207,800.00 USD annually USA, NY, New York - 169,000.00 - 228,600.00 USD annually USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually", "summaryDescription" : "Sr. Database Specialist SA, Media & Entertainment, ASPI MEGS at Amazon Web Services, Inc.. Skills: Database administration, AWS, SQL, NoSQL. Administer and maintain databases. 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S. Government security clearance with a favorable Polygraph, all candidates must be a U. S. citizen", "qualificationsBasic" : "Top Secret/SCI U. S. Government security clearance with a favorable Polygraph, Four (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor’s degree, Spark, MapReduce, SQL/NoSQL, Pandas/Numpy/SciPy", "remoteFriendly" : false, "rawDescription" : "Build to something to be proud of. Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country. Description Captivation Software is looking for a mid level software engineer who will performing as a Cloud-Based Analytics Developer to join our team. As part of our organization, you will be responsible for developing and maintaining high-performance analytic solutions that process heavy volumes of data. This is an excellent opportunity for someone experienced in data analytics writing, and a passion for big data and distributed computing. Requirements Security Clearance: Must currently hold a Top Secret/SCI U. S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U. S. citizen Minimum Qualifications: Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required Bachelor’s degree in Computer Science or related discipline from an accredited college or university is required Four (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor’s degree. Required Skills: Spark MapReduce SQL/NoSQL Pandas/Numpy/SciPy This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms. Benefits Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience) Up to 20% 401k contribution (No Matching Required and Vested from Day 1) Above Market Hourly Rates $3,600 HSA Contribution 6 Weeks Paid Time Off Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D", "summaryDescription" : "Software Engineer 2 - Spark/MapReduce/SQL/NoSQL/Pandas/Numpy/SciPy at Captivation Software. 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We are building in-memory services, powered by open-source, and optimized for sub millisecond latency at scale. Come and join us to define the future of NoSQL at AWS. ** As a Software Engineer in our NoSQL and in-memory database team, you will develop large-scale, distributed in-memory databases with sub-millisecond latency. You will leverage open source technologies like Redis, Memcached, and Amazon proprietary technologies. This includes data plane extremely fast and high throughput development, low level optimizations, asynchronous messaging, event-based technologies, real-time failure detection system, horizontal and vertical scaling, auto-remediation, high availability, fault tolerance, storage technologies, snapshooting, and disaster recovery. In this role, you will develop significant portions of the product and serve as a mentor for other engineers in their areas of work. - You will work to enable a quality product and set the groundwork for success in the next phase of the product and beyond. - A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. - Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. - You should be someone who enjoys working on complex system software, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals. Come work with the folks who are not only building a highly-available and scalable in-memory distributed service but also influencing the direction of NoSQL systems throughout the industry. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. 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services, Develop distributed in-memory databases, Leverage open source technologies, Develop data plane, Perform low level optimizations, Implement asynchronous messaging, Implement event-based technologies, Build real-time failure detection system, Implement horizontal scaling, Implement vertical scaling, Implement auto-remediation, Build high availability systems, Build fault tolerance systems, Develop storage technologies, Implement snapshooting, Implement disaster recovery, Serve as a mentor, Enable a quality product, Set groundwork for success, Solve challenging technical problems, Design software solutions, Implement software solutions, Test software solutions, Deploy software solutions, Maintain software solutions, Build high-quality products, Build highly available products, Build always-on products, Research implementations, Create metrics, Implement automation, Resolve root cause of defects, Build high-impact solutions, Participate in design discussions, Participate in code review, Communicate with stakeholders, Work cross-functionally, Drive business decisions, Work in development environment", "teamCollaboration" : "Cross-functional teams; Diverse teams; Internal stakeholders; External stakeholders", "domainKnowledge" : "NoSQL; In-memory database; Distributed systems; Cloud-native architecture", "domainList" : [ "nosql", "in-memory-database", "distributed-systems", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "NoSQL", "In-memory database", "Distributed systems", "Cloud-native architecture" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Knowledge sharing; Mentorship programme; Career growth", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "5+ years software development experience, 5+ years programming experience, 5+ years design/architecture experience, Experience as a mentor, Experience as a tech lead, Experience leading engineering team", "qualificationsPreferred" : "5+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about building a large-scale, distributed, highly available, and reliable in-memory database? We are building in-memory services, powered by open-source, and optimized for sub millisecond latency at scale. Come and join us to define the future of NoSQL at AWS. ** As a Sr Software Engineer in our NoSQL and in-memory database team, you will develop large-scale, distributed in-memory databases with sub-millisecond latency. You will leverage open source technologies like Redis, Memcached, and Amazon proprietary technologies. This includes data plane extremely fast and high throughput development, low level optimizations, asynchronous messaging, event-based technologies, real-time failure detection system, horizontal and vertical scaling, auto-remediation, high availability, fault tolerance, storage technologies, snapshooting, and disaster recovery. - In this role, you will develop significant portions of the product and serve as a mentor for other engineers in their areas of work. - You will work to enable a quality product and set the groundwork for success in the next phase of the product and beyond. - A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. - Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. - You should be someone who enjoys working on complex system software, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals. Come work with the folks who are not only building a highly-available and scalable in-memory distributed service but also influencing the direction of NoSQL systems throughout the industry. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services 10016 Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also: Solve challenging technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. Build high-quality, highly available, always-on products. Research implementations that deliver the best possible experiences for customers. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you’re always working on the most important stuff. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually", "summaryDescription" : "Software Development Engineer III, AWS ElastiCache at Amazon Development Center U.S., Inc.. Skills: Distributed systems, In-memory databases, NoSQL. Develop in-memory services. 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Amazon Keyspaces is a scalable, highly available, and managed Apache Cassandra–compatible database service. Amazon Keyspaces is serverless, so customers don’t have to provision, patch, or manage servers, and they don’t have to install, maintain, or operate software. Amazon Keyspaces leverages open-source Apache Cassandra software, which is used by enterprises around the world to meet the scale and operational needs of their business. With Amazon Keyspaces, our aim is to make Apache Cassandra highly accessible and easy to use, in order to further drive its adoption across all business tiers. Amazon Keyspaces engineers are constantly challenged to think of unique and innovative solutions. The quality bar is high. As an engineer here, you will work on the hardest engineering problems in distributed systems at a massive scale and on multiple dimensions. You will exercise your intellectual curiosity, work with motivated teams of sharp individuals, and get insightful guidance from senior and principal engineers. This is a hands-on position in which you will own everything from end to end: requirements gathering, designs, design reviews, implementations, code reviews, incremental feature launches, operations, mentoring, and the driving of continuous improvement. Key job responsibilities - Building and maintaining high scale distributed database. - Leading project design and implementation. - Leading and delivering projects with multiple SDEs. - Mentoring new hires and junior. - Operational excellence to maintain multiple micro services. A day in the life Amazon Keyspaces engineers are constantly challenged to think of unique and innovative solutions. The quality bar is high. As an engineer here, you will work on the hardest engineering problems in distributed systems at a massive scale and on multiple dimensions. You will exercise your intellectual curiosity, work with motivated teams of sharp individuals, and get insightful guidance from senior and principal engineers. This is a hands-on position in which you will own everything from end to end: requirements gathering, designs, design reviews, implementations, code reviews, incremental feature launches, operations, mentoring, and the driving of continuous improvement. About the team The AWS Keyspaces team is dedicated to building a culture where every engineer can thrive and grow. We're committed to fostering an inclusive environment through our employee-led affinity groups and ongoing learning experiences that celebrate diverse perspectives—a core part of Amazon's 14 Leadership Principles. AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience building complex software systems that have been successfully delivered to customers - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, AWS Keyspaces (NoSQL Cassandra compatible database) at Amazon Development Center U.S., Inc.. Skills: Distributed systems, Database engineering, Software development. Build high scale distributed database. 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Business partners; Technical partners", "domainKnowledge" : "NoSQL; In-memory databases; Distributed systems; Cloud computing", "domainList" : [ "nosql", "in-memory-databases", "distributed-systems", "cloud-computing" ], "domainSpecificKnowledge" : [ "NoSQL", "In-memory databases", "Distributed systems", "Cloud computing" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "3+ years professional software development, 2+ years system design or architecture, Experience programming at least one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "** Are you passionate about building a large-scale, distributed, highly available, and reliable in-memory database? We are building in-memory services, powered by open-source, and optimized for sub millisecond latency at scale. Come and join us to define the future of NoSQL at AWS. ** As a Software Engineer in our NoSQL and in-memory database team, you will develop large-scale, distributed in-memory databases with sub-millisecond latency. You will leverage open source technologies like Redis, Memcached, and Amazon proprietary technologies. This includes data plane extremely fast and high throughput development, low level optimizations, asynchronous messaging, event-based technologies, real-time failure detection system, horizontal and vertical scaling, auto-remediation, high availability, fault tolerance, storage technologies, snapshoting, and disaster recovery. In this role, you will develop significant portions of the product and serve as a mentor for other engineers in their areas of work. You will work to enable a quality product and set the groundwork for success in the next phase of the product and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. You should be someone who enjoys working on complex system software, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals. Come work with the folks who are not only building a highly-available and scalable in-memory distributed service but also influencing the direction of NoSQL systems throughout the industry. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, AWS ElastiCache, AWS In memory databases at Amazon Development Center U.S., Inc.. Skills: Distributed systems, In-memory databases, NoSQL. Develop large-scale databases. 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Business partners; Technical partners", "domainKnowledge" : "In-memory databases; NoSQL; Distributed systems; Cloud computing", "domainList" : [ "in-memory-databases", "nosql", "distributed-systems", "cloud-computing" ], "domainSpecificKnowledge" : [ "In-memory databases", "NoSQL", "Distributed systems", "Cloud computing" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Customer-centric", "qualificationsBasic" : "3+ years professional software development, 2+ years system design or architecture, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "** Are you passionate about building a large-scale, distributed, highly available, and reliable in-memory database? We are building in-memory services, powered by open-source, and optimized for sub millisecond latency at scale. Come and join us to define the future of NoSQL at AWS. ** As a Software Engineer in our NoSQL and in-memory database team, you will develop large-scale, distributed in-memory databases with sub-millisecond latency. You will leverage open source technologies like Redis, Memcached, and Amazon proprietary technologies. This includes data plane extremely fast and high throughput development, low level optimizations, asynchronous messaging, event-based technologies, real-time failure detection system, horizontal and vertical scaling, auto-remediation, high availability, fault tolerance, storage technologies, snapshoting, and disaster recovery. In this role, you will develop significant portions of the product and serve as a mentor for other engineers in their areas of work. You will work to enable a quality product and set the groundwork for success in the next phase of the product and beyond. A commitment to teamwork, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating a reliable, scalable, and high-performance service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. You should be someone who enjoys working on complex system software, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals. Come work with the folks who are not only building a highly-available and scalable in-memory distributed service but also influencing the direction of NoSQL systems throughout the industry. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. 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Monitoring plane team; Operations team; Product teams; Customer service teams", "projectManagementSkills" : [ "Project priorities", "Project deadlines", "Project deliverables" ], "domainKnowledge" : "Distributed systems; Database internals; Cloud-scale infrastructure; CAP theorem; Consistent hashing; Paxos; Gossip protocols; NoSQL systems; In-memory database; RDBMS; NoSQL", "domainList" : [ "distributed-systems", "database-internals", "cloud-scale-infrastructure", "cap-theorem", "consistent-hashing", "paxos", "gossip-protocols", "nosql-systems", "in-memory-database", "rdbms", "nosql" ], "domainSpecificKnowledge" : [ "Distributed systems", "Database internals", "Cloud-scale infrastructure", "CAP theorem", "Consistent hashing", "Paxos", "Gossip protocols", "NoSQL systems", "In-memory database", "RDBMS", "NoSQL" ], "communicationSkills" : "Design reviews; Architecture discussions", "continuousLearning" : "Continuous learning", "problemSolvingSkills" : "Debugging complex systems; Analyze failure patterns; Root cause analysis", "specialRequirements" : "On-call rotations", "qualificationsBasic" : "3+ years professional software development, 2+ years system design or architecture, 1+ years software development engineer, 1+ years large-scale distributed software applications, 1+ years Object Oriented Design, Bachelor's degree or foreign equivalent, Experience programming at least one language", "qualificationsPreferred" : "3+ years full software development life cycle, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This is an opportunity to join one of AWS's most foundational and high-impact engineering teams — the In-Memory Computing Platform team, part of Amazon ElastiCache. We build the next-generation, high-performance in-memory distributed data storage platform that powers some of the world's most demanding real-time applications. Our work sits at the intersection of distributed systems, database internals, and cloud-scale infrastructure, and it directly shapes how millions of AWS customers build low-latency, high-throughput applications. If you've ever found yourself deep in a conversation about CAP theorem, consistent hashing, Paxos, or gossip protocols — and you want to apply those ideas to real-world systems at massive scale — this team is where you belong. We are the engineers behind the acclaimed Amazon Dynamo paper, and we continue to push the boundaries of what NoSQL systems can do. We're not just building a cache; we're building a durable, highly available, and scalable in-memory database platform that bridges the best of RDBMS and NoSQL worlds. Key job responsibilities As a Software Development Engineer on this team, you will take on broad ownership across the full lifecycle of our platform. Your core responsibilities will include: - Designing and building the next-generation in-memory NoSQL database platform, enabling developers to create highly available, scalable, and high-performance applications at unprecedented scale. - Leading software development of large-scale distributed in-memory storage systems, primarily in Java and C/C++, leveraging open-source technologies such as Redis and Memcached alongside Amazon-proprietary technologies. - Developing and operating HTTP/REST services, asynchronous messaging systems, and event-driven architectures that form the backbone of our platform. - Building and improving real-time failure detection and auto-remediation systems capable of detecting node failures in large distributed clusters and initiating recovery within seconds. - Driving horizontal and vertical scaling capabilities, management and monitoring plane workflows, fault tolerance mechanisms, and backup and restore technologies. - Contributing to disaster recovery and prevention strategies to ensure the highest levels of availability and durability for our customers. - Mentoring and growing junior engineers on the team, serving as a technical leader and role model for engineering best practices. - Managing individual project priorities, deadlines, and deliverables with a high degree of autonomy and accountability. A day in the life Day-to-day, you can expect a dynamic mix of deep technical work and collaborative engineering. A typical week might look like: Writing and reviewing production-quality code in Java or C/C++ for distributed storage components, scaling systems for monitoring plane owned services. Participating in design reviews and architecture discussions, where you'll debate tradeoffs around consistency, availability, and partition tolerance — and then go build the solution. Collaborating with peer engineers across the team to debug complex distributed systems issues, analyze failure patterns, and drive root cause analysis. Working closely with the monitoring plane and operations team to improve observability, tune auto-remediation workflows, and reduce mean time to recovery. Engaging with product and customer service teams to understand real-world use cases — from IoT and mobile applications to large-scale analytics — and translating those needs into platform capabilities. Mentoring junior engineers through code reviews, design feedback, and pairing sessions, helping them grow their technical skills and Amazon engineering judgment. Contributing to the team's operational excellence by participating in on-call rotations and driving improvements to system reliability and operational tooling. About the team The In-Memory Storage Platform team is a passionate group of engineers who thrive on solving hard distributed systems problems. We are a collaborative, intellectually curious team that values technical depth, ownership, and a bias for action. Our charter is Amazon ElastiCache — an AWS service that enables customers to deploy, manage, and massively scale in-memory distributed data stores using open-source technologies like Redis and Memcached. Our customers include some of the world's fastest-growing startups and enterprises, all relying on ElastiCache to build ultra-low-latency, high-throughput data layers. We are deeply invested in open-source software and actively contribute to the broader NoSQL ecosystem. As a team, we believe in growing together — senior engineers are directly involved in mentoring and developing junior engineers, and we take pride in building a culture of technical excellence and continuous learning. About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, ElastiCache at Amazon Development Center U.S., Inc.. Skills: Distributed systems, In-memory computing, NoSQL databases. Design next-generation in-memory NoSQL database platform. 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This is a high visibility team where you will get a chance to make a positive impact on customer experience. The Amazon Payments Tech Team’s vision is to delight our customers with the best payment experience in the world! To achieve this vision, we are in search of a talented technical engineer and craftsman who builds robust software that scales as well as client-facing features which are intuitive and simple to use. Our team takes a world view of payments for all of Amazon and builds highly customized and seamless payment experiences for our global customers. This focus on geography and customer requires working on different technologies & back-end systems in order to meet the needs of our customers. Our back-end systems are always available and guarantee that our customer’s orders are never lost and always processed even when downstream services are down. Our team is highly motivated and in need of a engineer who can take the technical reigns of the team and steer them in the direction of our vision. You are a technical leader and craftsman with a proven track record of successful delivery. You are someone who will enjoy the challenge of working on complex and highly disparate technologies – from front-end development to back-end highly distributed systems. You are security-conscious and continually analyze software for potential threats to safeguard customer trust. You are interested in a high growth career opportunity and enjoy building software that brings smiles to our customers. Key job responsibilities · Work with the team to help solve business problems. · Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. · Use software engineering best practices to ensure a high standard of quality for all of the team deliverables. · Write high quality distributed system software. · Work in an agile, startup-like development environment, where you are always working on the most important stuff. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Dev Engineer 2 at ADCI. Skills: Software development, System design, Software architecture. Solve business problems. Design software solutions", "postedDate" : "2026-06-13T02:53:56.940", "createdAt" : "2026-06-13T02:53:56.940", "lastUpdated" : "2026-06-15T01:25:52.491", "ingestTimestamp" : "2026-06-13T02:53:56.940", "mongoId" : "69fe94fe4c40e2acd11218eb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10414672/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "System design", "Software architecture", "Agile", "Distributed systems", "High volume applications", "Payment experience" ], "skillCount" : 7, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 1180.8595, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a65fd74d8ee00a062b4fa", "title" : "Software Development Engineer – Big Data, AWS Elastic MapReduce (EMR)", "company" : "Amazon. com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 70000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, Washington, USA", "locations" : [ "Redmond, Washington, USA" ], "timestamp" : "2026-06-15T04:37:21.166", "fingerprint" : "1c42e0daa18c326a3ab00cfd5ab38919556333cba511eacf513734d95617d61e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10445126/apply", "externalId" : "0e9bfdab-5134-4e1c-a21e-302ec1007167", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Java, C++, C#, Hadoop, Spark, Hive, Presto, HBase, AWS Elastic MapReduce", "professionalSkills" : [ "Distributed systems", "Parallel data processing", "System design", "Architecture design" ], "hardSkillsList" : [ "Programming skills", "Data processing" ], "softSkillsList" : [ "Leadership", "Customer obsession" ], "hardSkills" : [ { "name" : "Programming skills", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Customer obsession" } ], "majorSkills" : "Big Data, AWS Elastic MapReduce, Distributed systems", "majorSkillsList" : [ "Big Data", "AWS Elastic MapReduce", "Distributed systems" ], "coreResponsibilities" : "Design large scale systems, Build large scale systems, Work with open source community, Contribute software to open source projects, Design next-generation technologies, Build next-generation technologies, Work on complex problems, Translate requirements into architecture, Translate requirements into design, Deliver systems with quality, Deliver features with quality, Deliver systems on time, Deliver features on time, Own software development process, Work with engineers, Work with product managers, Develop new systems, Design new systems, Architect new systems, Plan new systems, Implement new systems, Test new systems, Deploy new systems, Operate production EMR systems", "teamCollaboration" : "Cross-functional teams; Product managers", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Big Data; Distributed systems; Data processing; Cloud computing", "domainList" : [ "big-data", "distributed-systems", "data-processing", "cloud-computing" ], "domainSpecificKnowledge" : [ "Big Data", "Distributed systems", "Data processing", "Cloud computing" ], "toolProficiency" : [ "Apache Hadoop", "Apache Spark", "Apache Hive", "Presto", "Apache HBase" ], "continuousLearning" : "Knowledge sharing; Mentorship; Career-advancing resources", "innovationCreativity" : "Developing innovative new features", "problemSolvingSkills" : "Complex problems", "outcomesObjectives" : "Make EMR the best environment", "qualificationsBasic" : "2+ years software development experience, Experience with Java, C++, or C#, Object-oriented design experience, 1+ years systems architecture and design experience", "qualificationsPreferred" : "Knowledge of Big Data applications, Knowledge of Container Platforms, Docker and related technologies knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Want to change the world with Big Data and Analytics? Come join us on the Amazon EMR team in Amazon Web Services! Amazon EMR is a web service which enables customers to run massive clusters with open-source data processing frameworks like Apache Hadoop, Spark, Hive, Presto, HBase and more, with the ability to effortlessly scale up and down as needed. We run large number of customer clusters, enabling a variety of customer use cases including analytics and web-scale machine learning. We are developing innovative new features including our next-generation cluster management system, improvements for real-time processing of big data, and ways to enable customers to more easily interact with their data. We’re looking for top engineers to build them from the ground up. By joining our team, you will get to work with a minimum of technical supervision, while playing a variety of roles as needed to respond efficiently to multiple program priorities. You will get to collaborate with some of the best and brightest minds in the industry. You'll enjoy a competitive salary, great benefits, a creative and agile work environment, and the exciting opportunity to be part of a fast-paced and growing team and one of the most innovative technology companies - but most of all, you will get the satisfaction of making products that millions use everyday to great effect! For more information: AWS Big Data Blog: https://aws.amazon.com/blogs/big-data/ AWS EMR: https://aws.amazon.com/emr/ Key job responsibilities You will work backwards from the customer needs and you will get to do everything from designing and building large scale systems and features for the savviest customers in the business. You will have a chance to work with the open source community and contribute significant portions its software to open source projects including Hadoop, Spark, Hive, Presto and HBase. You need to not only be a top software developer with excellent programming skills, an understanding of distributed systems and parallel data processing, and a stellar record of delivery but also excel at leadership and customer obsession and have a real passion for massive-scale computing. If you want to truly test your mettle against the hardest challenges in distributed systems to build solutions for large scale problems in a wide variety of domains, come join our group. Your responsibilities will include: - Designing and building the next-generation technologies that will make EMR the best environment to run large-scale data processing workloads. - Working on complex problems in distributed systems and query engines. - Translation of complex functional and technical requirements into detailed architecture and design. - Deliver systems and features with top-notch quality, on time. - Own the software development process end-to-end, including: working with engineers and product managers to develop requirements; designing, architecting, planning, implementing, and testing new systems and features; deploying, and operating the production EMR systems. About the team ABOUT AWS: Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 2+ years of non-internship professional software development experience - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design - 1+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience Preferred Qualifications: - Knowledge of Big Data application such as Spark and Presto - Knowledge of Container Platforms such as Docker and related technologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. 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Senior engineers; Integration teams; QA teams; DevOps teams", "projectManagementSkills" : [ "Agile", "Sprint planning", "Daily standups" ], "domainKnowledge" : "Agentic Business Network; Supply chain operations; No-code AI agents; Life sciences; Healthcare", "domainList" : [ "agentic-business-network", "supply-chain-operations", "no-code-ai-agents", "life-sciences", "healthcare" ], "domainSpecificKnowledge" : [ "Agentic Business Network", "Supply chain operations", "No-code AI agents", "Life sciences", "Healthcare" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Communication skills", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Problem-solving skills; Analytical skills; Troubleshoot; Debug", "qualificationsBasic" : "Bachelor's or master's degree, understanding of programming fundamentals, Basic knowledge of data structures, Basic knowledge of algorithms, Basic knowledge of OOP concepts", "qualificationsPreferred" : "Familiarity with web technologies, Familiarity with databases, Familiarity with cloud concepts, Exposure to React, Exposure to Node.js, Understanding of REST APIs, Understanding of microservices architecture, Knowledge of Git, Experience with SQL/NoSQL databases, Familiarity with CI/CD pipelines, Familiarity with DevOps concepts", "rawDescription" : "Company overview: TraceLink is the world’s largest Agentic Business Network, enabling life sciences and healthcare companies to build and manage a scalable digital workforce of governed, no-code AI agents that execute and coordinate mission-critical supply chain operations alongside human teams. Powered by the Integrate-Once™ OPUS platform, TraceLink links more than 300,000 network participants, enabling multi-enterprise processes at global scale. Founded in 2009 with the simple mission of protecting patients, today Tracelink has 5 global offices, over 800 employees and more than 1700 customers in over 60 countries around the world. Our expanding product suite continues to protect patients and now also enhances multi-enterprise collaboration through innovative new applications such as MINT. Tracelink is recognized as an industry leader by Gartner and IDC, and for having a great company culture by Comparably. Key Responsibilities • Assist in the design, development, and testing of software features across Tracelink’s platform. • Collaborate with senior engineers to troubleshoot, debug, and resolve technical issues. • Participate in code reviews, sprint planning, and daily standups as part of an agile environment. • Write clean, maintainable, and efficient code following best practices. • Support integration, QA, and DevOps teams with required technical tasks. • Contribute to documentation, test cases, and automation efforts. Qualifications: • Bachelor’s or master’s degree in computer science, IT, or related engineering fields. • Strong understanding of programming fundamentals (Java, JavaScript, or similar). • Basic knowledge of data structures, algorithms, and OOP concepts. • Familiarity with web technologies, databases, or cloud concepts is a plus. • Good analytical and problem-solving skills. • Strong communication skills and eagerness to learn. Preferred Skills (Good to Have) • Exposure to frameworks such as React, or Node.js. • Understanding of REST APIs and microservices architecture. • Knowledge of version control systems like Git. • Experience with SQL/NoSQL databases. • Familiarity with CI/CD pipelines or DevOps concepts Please see the Tracelink Privacy Policy for more information on how Tracelink processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise your privacy rights. If you have questions about this privacy notice or need to contact us in connection with your personal data, including any requests to exercise your legal rights referred to at the end of this notice, please contact Candidate-Privacy@tracelink.com.", "summaryDescription" : "Software Engineer at TraceLink. Skills: Software development, Agile methodologies, Cloud concepts. Assist in design. Assist in development", "postedDate" : "2026-06-11T21:10:23.666", "createdAt" : "2026-06-11T21:10:23.666", "lastUpdated" : "2026-06-14T20:34:09.426", "ingestTimestamp" : "2026-06-11T21:10:23.666", "mongoId" : "6a2a53ca74d8ee00a05ffece", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Programming fundamentals", "Data structures", "Algorithms", "OOP concepts", "Web technologies", "Databases", "Cloud concepts", "REST APIs", "Microservices architecture", "Version control systems", "SQL", "NoSQL", "CI/CD pipelines", "DevOps concepts", "Eagerness to learn", "Software development", "Agile methodologies", "Analytical skills", "Problem-solving skills", "Agile", "Sprint planning", "Daily standups", "Agentic Business Network", "Supply chain operations", "No-code AI agents", "Life sciences", "Healthcare", "Git" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "platform-engineering", "dataQualityScore" : 0.7777778, "_score" : 1126.24, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69d5e4952beec4dd3d9317d7", "title" : "Software Development Engineer, AWS Keyspaces (NoSQL Cassandra compatible database)", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 70000.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:40:51.083", "fingerprint" : "1c96557c75a76c15dc9b0929c77a7e6a4984fdc1fc8ac78dc3f918490d9950fc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385462/apply", "externalId" : "cbe4c858-c919-48e2-b1aa-1a0c0bdc0d40", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Apache Cassandra, C#, C++, Java, Perl", "professionalSkills" : [ "System design", "Reliability", "Scaling", "Distributed systems", "Operations" ], "hardSkillsList" : [ "Software development", "System design", "Object Oriented Design", "Large-scale applications" ], "softSkillsList" : [ "Mentoring", "Intellectual curiosity" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Object Oriented Design", "level" : "intermediate" }, { "name" : "Large-scale applications", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Intellectual curiosity" } ], "majorSkills" : "Distributed systems, Database engineering, Software development", "majorSkillsList" : [ "Distributed systems", "Database engineering", "Software development" ], "coreResponsibilities" : "Build distributed database, Maintain distributed database, Lead project design, Lead project implementation, Lead projects with multiple SDEs, Mentor new hires, Mentor junior engineers, Maintain micro services", "teamCollaboration" : "Motivated teams; Senior engineers; Principal engineers", "projectManagementSkills" : [ "Requirements gathering", "Design reviews", "Code reviews", "Incremental feature launches" ], "domainKnowledge" : "NoSQL database; Cassandra compatible database; Distributed systems; Massive scale", "domainList" : [ "nosql-database", "cassandra-compatible-database", "distributed-systems", "massive-scale" ], "domainSpecificKnowledge" : [ "NoSQL database", "Cassandra compatible database", "Distributed systems", "Massive scale" ], "continuousLearning" : "Ongoing learning experiences", "innovationCreativity" : "Unique solutions; Innovative solutions", "problemSolvingSkills" : "Hardest engineering problems", "qualificationsBasic" : "3+ years professional software development, 2+ years system design or architecture, 1+ years software development engineer experience, 1+ years designing large-scale applications, 1+ years Object Oriented Design, Bachelor's degree or foreign equivalent, Experience programming at least one language", "qualificationsPreferred" : "3+ years full software development life cycle, Bachelor's degree in computer science, Experience building complex software systems, Knowledge of professional software engineering practices, Experience programming with modern language", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to work on a service that can do the following?: - Access petabytes of data in single-digit milliseconds - Back up hundreds of terabytes of data in seconds - Encrypt petabytes of data with no performance degradation Amazon Keyspaces is a NoSQL database service that does all this and more. Amazon Keyspaces is a scalable, highly available, and managed Apache Cassandra–compatible database service. Amazon Keyspaces is serverless, so customers don’t have to provision, patch, or manage servers, and they don’t have to install, maintain, or operate software. Amazon Keyspaces leverages open-source Apache Cassandra software, which is used by enterprises around the world to meet the scale and operational needs of their business. With Amazon Keyspaces, our aim is to make Apache Cassandra highly accessible and easy to use, in order to further drive its adoption across all business tiers. Amazon Keyspaces engineers are constantly challenged to think of unique and innovative solutions. The quality bar is high. As an engineer here, you will work on the hardest engineering problems in distributed systems at a massive scale and on multiple dimensions. You will exercise your intellectual curiosity, work with motivated teams of sharp individuals, and get insightful guidance from senior and principal engineers. This is a hands-on position in which you will own everything from end to end: requirements gathering, designs, design reviews, implementations, code reviews, incremental feature launches, operations, mentoring, and the driving of continuous improvement. Key job responsibilities - Building and maintaining high scale distributed database. - Leading project design and implementation. - Leading and delivering projects with multiple SDEs. - Mentoring new hires and junior. - Operational excellence to maintain multiple micro services. A day in the life Amazon Keyspaces engineers are constantly challenged to think of unique and innovative solutions. The quality bar is high. As an engineer here, you will work on the hardest engineering problems in distributed systems at a massive scale and on multiple dimensions. You will exercise your intellectual curiosity, work with motivated teams of sharp individuals, and get insightful guidance from senior and principal engineers. This is a hands-on position in which you will own everything from end to end: requirements gathering, designs, design reviews, implementations, code reviews, incremental feature launches, operations, mentoring, and the driving of continuous improvement. About the team The AWS Keyspaces team is dedicated to building a culture where every engineer can thrive and grow. We're committed to fostering an inclusive environment through our employee-led affinity groups and ongoing learning experiences that celebrate diverse perspectives—a core part of Amazon's 14 Leadership Principles. AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience building complex software systems that have been successfully delivered to customers - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, AWS Keyspaces (NoSQL Cassandra compatible database) at Amazon.com Services LLC. Skills: Distributed systems, Database engineering, Software development. Build distributed database. Maintain distributed database", "postedDate" : "2026-06-13T01:46:37.898", "createdAt" : "2026-06-13T01:46:37.898", "lastUpdated" : "2026-06-15T01:40:51.083", "ingestTimestamp" : "2026-06-13T01:46:37.898", "mongoId" : "69d5e4952beec4dd3d9317d7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10385462/apply", "salaryAnnualMin" : 70000, "salaryAnnualMax" : 194400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Object Oriented Design", "Large-scale applications", "Mentoring", "Intellectual curiosity", "Distributed systems", "Database engineering", "Reliability", "Scaling", "Operations", "Requirements gathering", "Design reviews", "Code reviews", "Incremental feature launches", "NoSQL database", "Cassandra compatible database", "Massive scale" ], "skillCount" : 18, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 1106.073, "daysOld" : 1, 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"locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "C#, C++, Java, Perl, Object Oriented Design", "professionalSkills" : [ "Developer experience", "AI-assisted development", "Rapid experimentation", "Backend systems", "Frontend user experiences", "Full stack development", "Database technology", "Developer tools", "SDKs", "Integrations", "User interfaces", "MCP servers", "AI coding tools", "Console experiences", "Authentication helpers", "ORM adapters", "Example-rich documentation", "AI models", "Query editors", "Cluster management", "Onboarding flows", "ISVs", "Framework providers", "Benchmarking", "User testing", "Rapid iteration", "Product selection", "Automation", "Python ORM", "Product managers", "UX designers", "Core DSQL engineering", "Design discussions", "Code reviews", "Internal stakeholders", "External stakeholders", "Business decisions", "Technical input", "Agentic developers", "Knowledge-sharing", "Senior members", "One-on-one mentoring", "Career growth", "Full-stack engineering" ], "hardSkillsList" : [ "Distributed SQL database", "Serverless architecture", "High availability", "Data consistency", "System resources scaling", "AI coding", "Agentic era development", "Frictionless developer experiences", "Modern development tools", "AI coding assistants", "Database drivers", "Authentication systems", "Console UIs", "Documentation", "Distributed software applications", "Multi-tiered applications", "Multi-threaded applications", "Embedded software applications" ], "softSkillsList" : [ "Customer obsession" ], "hardSkills" : [ { "name" : "Distributed SQL database", "level" : "intermediate" }, { "name" : "Serverless architecture", "level" : "intermediate" }, { "name" : "High availability", "level" : "intermediate" }, { "name" : "Data consistency", "level" : "intermediate" }, { "name" : "System resources scaling", "level" : "intermediate" }, { "name" : "AI coding", "level" : "intermediate" }, { "name" : "Agentic era development", "level" : "intermediate" }, { "name" : "Frictionless developer experiences", "level" : "intermediate" }, { "name" : "Modern development tools", "level" : "intermediate" }, { "name" : "AI coding assistants", "level" : "intermediate" }, { "name" : "Database drivers", "level" : "intermediate" }, { "name" : "Authentication systems", "level" : "intermediate" }, { "name" : "Console UIs", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" }, { "name" : "Distributed software applications", "level" : "intermediate" }, { "name" : "Multi-tiered applications", "level" : "intermediate" }, { "name" : "Multi-threaded applications", "level" : "intermediate" }, { "name" : "Embedded software applications", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer obsession" } ], "majorSkills" : "Distributed SQL, Developer experience, AI-assisted development, Full-stack engineering", "majorSkillsList" : [ "Distributed SQL", "Developer experience", "AI-assisted development", "Full-stack engineering" ], "coreResponsibilities" : "Design developer tools, Build developer tools, Design SDKs, Build SDKs, Design console features, Build console features, Design integrations, Build integrations, Reduce friction for developers, Create AI-ready documentation, Create code samples, Create integrations for AI coding assistants, Build authentication helpers, Build ORM adapters, Build database drivers, Develop console experiences, Develop query editors, Develop cluster management UIs, Develop onboarding flows, Partner with ISVs, Partner with framework providers, Integrate DSQL into platforms, Measure developer experience, Improve developer experience, Work with AI models, Automate DSQL cluster setup, Create authentication helper, Test application building, Ship improvements weekly, Validate with developers, Validate with AI coding assistants, Collaborate with product managers, Collaborate with UX designers, Collaborate with core DSQL engineering, Use AI coding tools, Participate in design discussions, Participate in code reviews, Communicate with stakeholders, Work cross-functionally, Drive business decisions", "teamCollaboration" : "Diverse teams; Cross-functional teams; Product managers; UX designers; Core DSQL engineering; Internal stakeholders; External stakeholders", "projectManagementSkills" : [ "Rapid iteration" ], "domainKnowledge" : "Distributed SQL database; Serverless architecture; AI-assisted development; Agentic era development; Database technology; Developer experience", "domainList" : [ "distributed-sql-database", "serverless-architecture", "ai-assisted-development", "agentic-era-development", "database-technology", "developer-experience" ], "domainSpecificKnowledge" : [ "Distributed SQL database", "Serverless architecture", "AI-assisted development", "Agentic era development", "Database technology", "Developer experience" ], "toolProficiency" : [ "Kiro", "Claude Code", "Python ORM" ], "communicationSkills" : "Communicate with stakeholders", "documentationSkills" : "AI-ready documentation; Example-rich documentation; Technical documentation", "continuousLearning" : "Mentoring; Knowledge-sharing; Career growth", "innovationCreativity" : "Rapid experimentation; Prototype development", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Debugging", "outcomesObjectives" : "Reduce friction for developers; Make DSQL easy to use; Ship improvements weekly", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, 1+ years software development engineer experience, 1+ years designing distributed software applications, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent, Experience programming at least one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, highest availability, and zero infrastructure management. Aurora DSQL provides active-active high availability, delivering strong data consistency designed for 99.99% single-Region and 99.999% multi-Region availability. Aurora DSQL automatically manages and scales system resources, so you don't have to worry about maintenance downtime, provisioning, patching, or upgrading infrastructure. The Aurora DSQL JumpStart team is revolutionizing how developers build applications with databases, especially in the agentic era. We're making DSQL easy for AI-assisted development by creating frictionless developer experiences, building integrations with modern development tools, and establishing DSQL as a leading database integrated with frameworks and AI coding assistants. As part of the JumpStart team, you'll work at the intersection of database technology and developer experience. You'll build tools, documentation, integrations, and user interfaces that enable millions of developers—both human and AI agents—to successfully build applications on DSQL. This includes creating MCP servers for AI coding tools like Kiro and Claude Code, building console experiences that delight developers, developing authentication helpers and ORM adapters, and crafting example-rich documentation that AI models can consume. An ideal candidate has experience building developer tools, SDKs, or developer-facing products, understands both backend systems and front-end user experiences, and thrives on rapid iteration. You'll work with AI coding assistants daily, understand their strengths and limitations, and design solutions that work seamlessly for both human developers and AI agents. You're comfortable working across the full stack—from database drivers and authentication systems to console UIs and documentation—and can move quickly to validate ideas and ship improvements. Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for developer experience, AI-assisted development, and rapid experimentation. You'll also: - Design and build developer tools, SDKs, console features, and integrations that reduce friction for developers building on DSQL - Create AI-ready documentation, code samples, and integrations for AI coding assistants (Kiro, Claude Code, etc.) - Build authentication helpers, ORM adapters, and database drivers that make DSQL easy to use with popular frameworks - Develop console experiences including query editors, cluster management UIs, and onboarding flows - Partner with ISVs and framework providers to integrate DSQL into their platforms - Measure and improve developer experience through benchmarking, user testing, and rapid iteration - Work with AI models to understand how they select products and influence their recommendations A day in the life You'll work in a fast-paced, startup-like environment focused on rapid experimentation and customer impact. You might spend your morning building a new Kiro Power that automates DSQL cluster setup, afternoon creating an authentication helper for a popular Python ORM, and evening testing how well Claude Code can build applications against DSQL. You'll: - Ship improvements weekly, validating with real developers and AI coding assistants - Collaborate with product managers, UX designers, and the core DSQL engineering team - Use AI coding tools yourself to understand the developer experience firsthand - Participate in design discussions, code reviews, and communicate with internal and external stakeholders - Work cross-functionally to help drive business decisions with your technical input About the team The JumpStart team is dedicated to making DSQL an easy to use database for agentic developers. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates rapid iteration, customer obsession, and knowledge-sharing. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help you develop expertise in developer experience, AI-assisted development, and full-stack engineering. About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, AWS Distributed SQL at Amazon Development Center U.S., Inc.. Skills: Distributed SQL, Developer experience, AI-assisted development, Full-stack engineering. Design developer tools. 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Mechanical teams; Electrical teams; Nuclear teams; Controls teams; Manufacturing teams; Test teams; Hardware teams; Analysis teams; Operations teams", "projectManagementSkills" : [ "Maintainability", "Configuration control", "Data integrity" ], "domainKnowledge" : "Advanced nuclear energy; Microreactors; Clean energy; Space exploration; R&D testing; Experimental engineering; Data acquisition systems; Verification and validation", "domainList" : [ "advanced-nuclear-energy", "microreactors", "clean-energy", "space-exploration", "r-d-testing", "experimental-engineering", "data-acquisition-systems", "verification-and-validation" ], "domainSpecificKnowledge" : [ "Advanced nuclear energy", "Microreactors", "Clean energy", "Space exploration", "R&D testing", "Experimental engineering", "Data acquisition systems", "Verification and validation" ], "toolProficiency" : [ "Version control", "Code review", "Testing", "Debugging", "Logging", "Jupyter" ], "communicationSkills" : "Technical documentation; Operating procedures", "documentationSkills" : "Software documentation; Interface documentation; Data schema documentation; Test automation documentation; Operating procedures documentation", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Debugging; Troubleshooting", "specialRequirements" : "U.S. citizen or national, U.S. permanent resident, Refugee, Asylee", "outcomesObjectives" : "Collect high-quality data; Make better technical decisions; Establish best practices; Improve test repeatability; Improve data quality; Improve traceability; Improve reporting", "qualificationsBasic" : "Bachelor's degree in technical field, 4+ years software development experience", "qualificationsPreferred" : "Experience interfacing with hardware, Experience with test automation, Familiarity with software engineering fundamentals, Ability to translate R&D needs, Data analysis skills, Written and verbal communication skills, Experience providing technical leadership, Experience aligning workflows, Experience with Python scientific tooling, Experience interfacing with DAQ systems", "workSiteFlexibility" : "Flexible", "rawDescription" : "About Us At Antares, our long-term mission is to make clean energy abundant from Earth to the Asteroid Belt. We’re fueled by the belief that advanced nuclear energy can strengthen our military, solve the climate crisis, elevate global living standards, and expand humanity's presence in outer space. To achieve our mission, we’re building mass-producible, inherently safe, deployable microreactors that can be used terrestrially, underwater, and in space. Formed in 2023, the Antares team hails from SpaceX, The White House, MIT, Rigetti Computing, The Air Force, General Atomics, Relativity Space, Ursa Major, and National Laboratories like Los Alamos, Idaho, and Oak Ridge. Antares has raised over $130M in venture capital from top-tier investors and has over $13M in government funding. About the Role Antares is seeking a Research & Development Software Engineer to build the software systems that enable fast, rigorous experimental engineering across our R&D organization. This role supports test campaigns, prototype development, lab systems, engineering analysis, and verification and validation activities by creating the tools, automation frameworks, data workflows, and hardware/software interfaces that allow engineers to collect high-quality data and make better technical decisions. The ideal candidate is a strong software engineer who is comfortable near hardware: someone who can write production-quality Python and C++, debug DAQ or networking issues in a lab, structure experimental data, build tools that other engineers actually use, and bring software engineering discipline to a fast-moving R&D environment. We are looking for someone who can operate across the stack, from quick analysis scripts to durable internal tools and test infrastructure, while helping establish the practices and alignment needed for R&D software and V&V workflows to scale. Roles & Responsibilities: - Build software-hardware interface tools that support R&D testing, experimental campaigns, prototype development, and engineering analysis. - Develop test automation frameworks for lab equipment, instrumentation, DAQ systems, sensors, controllers, power supplies, and prototype hardware. - Create software interfaces to collect, process, store, visualize, and report engineering test data. - Build internal tools for experiment setup, test execution, data review, anomaly detection, and post-processing. - Develop Python-based workflows for data acquisition, analysis, visualization, and automated reporting. - Collaborate with mechanical, electrical, nuclear, controls, manufacturing, and test teams to understand experimental needs and build tools that fit real workflows and develop best practices. - Support verification and validation (V&V) activities by improving test repeatability, data quality, traceability, and reporting. - Create lightweight but robust software systems and infrastructure that help engineers move quickly without losing configuration control or data integrity. - Debug software, instrumentation, networking, DAQ, and hardware-in-the-loop issues in lab and test environments. - Maintain clear documentation for software tools, interfaces, data schemas, test automation frameworks, and operating procedures. Basic Qualifications: - Bachelor’s degree in Software Engineering, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, Systems Engineering, Physics, EECS, Nuclear Engineering, or a related technical field. - 4+ years of experience developing software for engineering, test, R&D, lab, data acquisition, hardware integration, automation, simulation, or analysis environments. - Strong programming ability in Python and C++. Preferred Skills and Experience: - Experience building software that interfaces with hardware, instruments, sensors, controllers, databases, APIs, or engineering tools. - Experience with test automation, data acquisition, data processing, or engineering analysis workflows. - Familiarity with software engineering fundamentals: version control, code review, testing, debugging, logging, documentation, and maintainable design. - Ability to work directly with engineers and translate ambiguous R&D needs into useful software tools. - Strong data analysis skills and ability to reason from experimental results. - Strong written and verbal communication skills. - Experience providing technical leadership, mentorship, or lightweight people management while remaining hands-on. - Experience aligning software, test, data, and engineering workflows across R&D, hardware, analysis, controls, manufacturing, and operations teams. - Experience with Python scientific and data tooling such as NumPy, pandas, SciPy, matplotlib, Plotly, Dash, Jupyter, or similar. - Experience interfacing software with DAQ systems, lab instruments, sensors, serial communication, CAN, Modbus, TCP/IP, OPC UA, MQTT, SCPI, VISA, or similar protocols. - Experience with NI hardware, LabVIEW, NI-DAQmx, cDAQ systems, or equivalent instrumentation platforms. - Experience with HIL, SIL, simulation integration, test automation, or digital engineering workflows. - Experience in regulated, safety-critical, aerospace, defense, automotive, nuclear, or other high-consequence engineering environments. - Familiarity with requirements traceability, test evidence, configuration management, and engineering quality systems. - Ability to operate across the stack, from quick scripts to production-quality internal tools, lab interfaces, data infrastructure, and user-facing engineering workflows. Culture At Antares, we like to specifically tie each role to our founding document’s set of values–here are the top five cultural values we think you should believe at your core to be successful: - Think in Systems - Energy and Defense are complex ecosystems with numerous stakeholders with competing priorities, conflicting policies, perverse incentives, and emergent and path-dependent properties. First principles thinking alone is insufficient. Think probabilistically and then take action. “If you want to be certain, then you are apt to be obsolete.” Over-optimizing the components often degrades the system - Obsess over the End User - The customer and end user are often not the same. We will never build globally competitive commercial products if we lose sight of our end users and their entire interaction with the product life cycle - Be Unconstrained by Convention - Our only limits are the laws of physics. Many, even experts, will say what we are working on is impossible. They said the same about SpaceX reusing rockets. Generationally impactful companies, by definition, must accomplish the seemingly impossible. If it were easy, it would have already been done. Never shy away from a solution because it has never been tried before, and never choose to do something because that's “how it's always been done” - Go Where the Work Is - Never miss a chance to meet a customer, user, or stakeholder face to face, even if that means hopping on a plane. If you can’t make it, find a teammate who can channel your intentions and go in your place. Deep work can be done from anywhere, but we believe teams are built in person, and aim to maximize our time together - Operate in the Grey - Embrace nuance in pursuit of truth. Question every fundamental assumption Equal Opportunity Antares is an Equal Opportunity Employer. Employment decisions are based solely on merit, competence, and qualifications, without regard to race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. ITAR REQUIREMENTS To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here https://www.pmddtc.state.gov/?id=ddtc_kb_article_page&sys_id=24d528fddbfc930044f9ff621f961987.", "summaryDescription" : "Software Engineer, R&D Platforms at Antares. Skills: R&D Software, Test Automation, Data Workflows, Hardware Interfaces. Build software-hardware interface tools. Develop test automation frameworks", "createdAt" : "2026-06-14T03:12:11.270", "lastUpdated" : "2026-06-15T05:17:56.738", "ingestTimestamp" : "2026-06-14T03:12:11.270", "mongoId" : "6a2d500a74d8ee00a0b66302", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112000, "salaryAnnualMax" : 200000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Software development", "Data acquisition", "Hardware integration", "Automation", "Simulation", "Analysis", "Debugging", "Data processing", "Data visualization", "Automated reporting", "Leadership", "Mentorship", "R&D Software", "Test Automation", "Data Workflows", "Hardware Interfaces", "Systems thinking", "First principles thinking", "Probabilistic thinking", "End user focus", "Problem solving", "Maintainability", "Configuration control", "Data integrity", "Advanced nuclear energy", "Microreactors", "Clean energy", "Space exploration", "R&D testing", "Experimental engineering", "Data acquisition systems", "Verification and validation", "Version control", "Code review", "Testing", "Logging", "Jupyter" ], "skillCount" : 37, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1069.5465, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2abe2074d8ee00a06eca9a", "title" : "Software Engineer", "company" : "Tapestry Solutions", "industry" : "Information Technology", "salary" : { "min" : 105000.0, "max" : 147510.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "USA - Hazelwood, MO", "locations" : [ "USA - Hazelwood, MO", "United States of America" ], "certifications" : [ "CompTIA Security+" ], "timestamp" : "2026-06-14T19:35:20.006", "fingerprint" : "679b2800d49e4a52e2b1a72e3a25e3b9c94daf3e86d63119cb297525a692513e", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/USA---Hazelwood-MO/Software-Engineer_JR2026511461", "externalId" : "JR2026511461", "industryFunction" : { }, "locationPoint" : "35.46871,-83.00403", "structuredLocations" : [ { "city" : "Hazelwood", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.7761446,-90.3715909" } ], "locationText" : "Hazelwood, Missouri, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : ".NET Framework, SQL, xUnit, nUnit, MSTest, C++", "professionalSkills" : [ "Business intelligence", "Software development", "Systems integrations", "Mathematical analysis" ], "hardSkillsList" : [ "Unit testing", "Database management" ], "hardSkills" : [ { "name" : "Unit testing", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" } ], "majorSkills" : "Software development, .NET, SQL", "majorSkillsList" : [ "Software development", ".NET", "SQL" ], "coreResponsibilities" : "Handle user inquiries, Troubleshoot technical issues, Analyze user feedback, Implement current and emerging technologies, Implement tools, Implement frameworks, Implement changes in regulations, Execute software research, Execute software development projects, Document software research, Document software development projects, Review customer requirements, Analyze customer requirements, Translate requirements into design, Develop software products, Maintain software products, Enhance software products, Optimize software products, Debug software issues, Resolve software issues", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Defense industry; Government regulations", "domainList" : [ "defense-industry", "government-regulations" ], "domainSpecificKnowledge" : [ "Defense industry", "Government regulations" ], "toolProficiency" : [ "Azure DevOps", "Jira" ], "documentationSkills" : "Document software research; Document software development projects", "problemSolvingSkills" : "Troubleshoot technical issues; Debug software issues; Resolve software issues", "specialRequirements" : "Active U. S. Secret Clearance, Ability to obtain TS/SCI, Meet DoD 8140 Program Foundational qualifications, U. S. Citizenship Required", "qualificationsBasic" : "Bachelor's Degree, Active U. S. Secret Clearance, Ability to meet DoD 8140 Program Foundational qualifications, 5+ years of experience with VB, C#, .NET, 3+ years of SQL or other relational database, 1+ years of Unit testing frameworks", "qualificationsPreferred" : "Bachelor of Science degree in engineering, engineering technology, chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience, Bachelor’s Degree and 9+ years of directly related work experience, 13+ years of related, relevant experience, Windows Environment (Windows 10/11, Windows Server), Knowledge of Windows Desktop Development, Azure DevOps Pipelines or other CI/CD tools, Microservices or RESTful APIs, Agile experience, Mathematical analysis skills, C++, CompTIA Security+ certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Software Engineer **Company:** Tapestry - G0G Tapestry Solutions, A Boeing Company, brings over 30 years of industry experience designing, implementing, training, and supporting high-quality, cost-effective information technology and business intelligence solutions. With a dedicated team of approximately 500 professionals, we proudly serve 75 defense, commercial, and government clients across more than 50 U.S. locations and 9 countries worldwide. As a trusted partner, our employees embody our core values by consistently delivering excellence, taking full ownership, and developing innovative solutions that enable critical missions and ensure the safety of our global customers and team members. Joining Tapestry Solutions means enjoying the best of both worlds: access to the vast resources of Boeing combined with the agility and people-focused, family-oriented culture of a small business where your contributions truly matter. Tapestry Solutions, a part of Boeing Global Services (BGS), is seeking a **Software Engineer** in **Hazelwood, MO** for the Department of Navy Tomahawk Land-Attack Missile program. The Tomahawk program continues to grow and expand as a relevant deterrent against adversaries across the globe and is employed by multiple military organizations. This program is expected to remain in active service for the foreseeable future. The successful candidate for the role of Software Engineer will play a crucial role in the design, development, testing, and maintenance of non-embedded software throughout the end-to-end lifecycle that meets industry, customer, and safety standards for the Tomahawk program, while adhering to strict government regulations. You will have the opportunity to review, analyze, and translate customer requirements into initial design of software products. Your expertise will be instrumental in developing, maintaining, enhancing and optimizing software products and functionalities for systems integrations. Additionally, you will debug and resolve issues identified to ensure the reliability and efficiency of software products. **Position Responsibilities:** * Handles user inquiries, troubleshoot technical issues and user feedback analysis * Implement current and emerging technologies, tools, frameworks and changes in regulations relevant to software development * Execute and document software research and development projects **Basic Qualifications (Required Skills/Experience):** * Bachelor’s Degree * Active U.S. Secret Clearance with the ability to obtain TS/SCI * Ability to meet DoD 8140 Program Foundational qualifications * 5+ years of experience with VB, C#, .NET and/or .NET Framework * 3+ years of SQL or other relational database * 1+ years of Unit testing frameworks like xUnit, nUnit, or MSTest **Preferred Qualifications (Desired Skills/Experience):** * Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 5+ years of related work experience OR Bachelor’s Degree and 9+ years of directly related work experience OR 13+ years of related, relevant experience * Windows Environment (Windows 10/11, Windows Server) * Knowledge of Windows Desktop Development * Project Management Tools (Azure DevOps, Jira, etc.) * Azure DevOps Pipelines or other CI/CD tools * Microservices or RESTful APIs * Agile experience * Strong mathematical analysis skills * C++ * CompTIA Security+ certification **Drug Free Workplace:** We are a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. **Pay & Benefits:** We strive to deliver a total rewards package that will attract, engage and retain the top talent. Elements of this package include competitive base pay and variable compensation opportunities. We also provide eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location and date of hire. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary base pay range $105,000 - $147,510 **Language Requirements:** Not Applicable **Education:** Bachelor's Degree or Equivalent **Relocation:** Relocation assistance is not a negotiable benefit for this position. **Export Control Requirement:** This is not an Export Control position. **Safety Sensitive:** This is not a Safety Sensitive Position. **Security Clearance:** This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Shift 1 (United States of America) **Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud** \\- [Recruitment Fraud Warning](http://www.boeing.com/careers/recruitment-fraud-warning.page) Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. [EEO is the law](http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf) [Boeing EEO Policy](https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf) [Request an Accommodation](http://www.boeing.com/careers/request-accommodation.page) [Applicant Privacy](http://www.boeing.com/careers/privacy-statement.page) **Boeing Participates in E – Verify** * [E-Verify (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf) * [E-Verify (Spanish) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf) **Right to Work Statement** * [Right to Work (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf) * [Right to Work (Spanish)](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf)", "summaryDescription" : "Software Engineer at Tapestry Solutions. Skills: Software development, .NET, SQL. 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Non-technical stakeholders; Engineering stakeholders", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Electric utilities; Grid resilience; Vegetation intelligence; Asset intelligence; Storm intelligence; Wildfire intelligence; Satellite inspection; Enterprise software; Regulated enterprise customers", "domainList" : [ "electric-utilities", "grid-resilience", "vegetation-intelligence", "asset-intelligence", "storm-intelligence", "wildfire-intelligence", "satellite-inspection", "enterprise-software", "regulated-enterprise-customers" ], "domainSpecificKnowledge" : [ "Electric utilities", "Grid resilience", "Vegetation intelligence", "Asset intelligence", "Storm intelligence", "Wildfire intelligence", "Satellite inspection", "Enterprise software", "Regulated enterprise customers" ], "toolProficiency" : [ "JIRA", "Cursor", "Claude", "AWS Bedrock" ], "communicationSkills" : "Technical decisions; Trade-offs", "problemSolvingSkills" : "Query optimization", "outcomesObjectives" : "Deliver full-stack web applications", "qualificationsBasic" : "6+ years professional experience, Deliver full-stack web applications, Python or Java backend, React with TypeScript frontend, SQL and NoSQL databases, Architect and deliver systems, Build API-based extensions, Integrate with third-party systems, Fluency with AI-assisted development, Experience in B2B SaaS, Degree in computer science, Equivalent practical experience", "qualificationsPreferred" : "Experience with utilities, Energy experience, Regulated enterprise customers, Investor-Owned Utilities a plus, Background in professional services, Solutions engineering team, Field engineering team, Customer-facing services comfort, Partner comfort, Geospatial products exposure, Satellite products exposure, Large-scale data products exposure", "remoteFriendly" : false, "rawDescription" : "About AiDASH AiDASH is leading the PreventionFirst™movement for electric utilities and transforming grid resilience through its pioneering platform that unifies vegetation, asset, storm, and wildfire intelligence. Powered by SatelliteFirst™ Inspection conduct thorough code reviews and mentor junior engineers. Communicate with clarity: Present technical decisions and trade-offs clearly to both engineering and non-technical stakeholders at all levels, working in an Agile/Scrum environment with JIRA. What We’re Looking For 6+ years of professional experience delivering full-stack web applications in production. Deep expertise in Python or Java for backend development, and React with TypeScript on the frontend. Strong command of SQL and NoSQL databases — including schema design, query optimisation, and data pipeline architecture. Proven ability to architect and deliver scalable, maintainable, well-tested systems end to end. Experience building API-based extensions and integrating with third-party or partner systems. Fluency with AI-assisted development — AI coding assistants (e.g., Cursor, Claude) and/or agentic workflows and services such as AWS Bedrock — and good judgement about where they add value. Experience in B2B SaaS or enterprise software, ideally with customer-facing or professional services exposure; comfort working directly with customers and partners. Comfortable in an Agile/Scrum environment using JIRA. A degree in computer science or a related field, or equivalent practical experience. Nice to Have Experience working with utilities, energy, or other regulated enterprise customers (Investor-Owned Utilities a strong plus). Background in a professional services, solutions, or field engineering team within a product company. Exposure to geospatial, satellite, or large-scale data products. We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs. Read our Privacy Policy here: https://www.aidash.com/policy/privacy-policy/", "summaryDescription" : "SDE 3- Full Stack at AiDASH, Inc.. Skills: Full-stack web applications, Python, React, SQL, NoSQL. Conduct thorough code reviews. Mentor junior engineers", "postedDate" : "2026-06-11T19:03:30.964", "createdAt" : "2026-06-11T19:03:30.964", "lastUpdated" : "2026-06-13T15:00:09.548", "ingestTimestamp" : "2026-06-11T19:03:30.964", "mongoId" : "6a2a53b474d8ee00a05ff5b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Scalable systems", "Maintainable systems", "Well-tested systems", "API-based extensions", "Third-party integration", "Full-stack web applications", "Python", "React", "SQL", "NoSQL", "Full-stack development", "Backend development", "Frontend development", "Schema design", "Query optimization", "Data pipeline architecture", "API integration", "AI-assisted development", "Agentic workflows", "B2B SaaS", "Enterprise software", "Customer-facing services", "Professional services", "Agile", "Scrum", "Electric utilities", "Grid resilience", "Vegetation intelligence", "Asset intelligence", "Storm intelligence", "Wildfire intelligence", "Satellite inspection", "Regulated enterprise customers", "JIRA", "Cursor", "Claude", "AWS Bedrock" ], "skillCount" : 37, "jobCategory" : "other", "jobSubcategory" : "professional-services", "dataQualityScore" : 0.8888889, "_score" : 1066.3693, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Electric utilities" }, { "id" : "6a2a5c7874d8ee00a061473b", "title" : "Software Engineer 2", "company" : "Abnormal", "industry" : "Cybersecurity", "salary" : { "min" : 80000.0, "max" : 120000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Software Engineer in Singapore, adjusted for the cybersecurity industry and company size." }, "location" : "Remote - Singapore", "locations" : [ "Remote - Singapore" ], "timestamp" : "2026-06-14T21:47:58.661", "fingerprint" : "6e230ee2308c1091bd3be57c4d3328a55e99f76b852e5211bd63b7018587d132", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://abnormal.ai/careers/jobs/7694675003?gh_jid=7694675003", "externalId" : "7694675003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Singapore", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Singapore", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, TypeScript, Go, React, Angular, Vue, AWS, GCP, Azure, Docker, Kubernetes", "professionalSkills" : [ "System design", "AI-augmented development" ], "hardSkillsList" : [ "Backend development", "Frontend development" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "Frontend development", "level" : "intermediate" } ], "majorSkills" : "AI-native technologies, Platform engineering, Cybersecurity", "majorSkillsList" : [ "AI-native technologies", "Platform engineering", "Cybersecurity" ], "coreResponsibilities" : "Build platform powering field, Design internal products, Ship internal products, Design APIs, Ship APIs, Design services, Ship services, Prototype customer-facing solutions, Validate customer-facing solutions, Scale customer-facing solutions, Own full product lifecycle, Work across Experimental stages, Work across Early Access stages, Work across General Availability stages, Take idea from napkin sketch, Build enterprise-grade systems, Work in dynamic problem spaces, Shape GTM platforms, Use AI coding assistants, Enhance productivity, Optimise workflows, Automate repetitive work, Build secure systems, Build scalable systems, Process security events, Partner with customers, Partner with field, Understand real problems, Iterate quickly, Deliver compounding solutions", "teamCollaboration" : "Forward-deployed teams; Internal stakeholders; Customers and field", "domainKnowledge" : "Cybersecurity; AI-native technologies; Enterprise-grade applications; Cloud platforms; Containerization", "domainList" : [ "cybersecurity", "ai-native-technologies", "enterprise-grade-applications", "cloud-platforms", "containerization" ], "domainSpecificKnowledge" : [ "Cybersecurity", "AI-native technologies", "Enterprise-grade applications", "Cloud platforms", "Containerization" ], "toolProficiency" : [ "AI coding assistants" ], "continuousLearning" : "AI-augmented development challenge", "innovationCreativity" : "Prototype development; Experiment with AI tools", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "3+ years professional experience, Backend development experience, Solid fundamentals frontend framework, Read generated code critically, Ship frontends defendable in review, Familiarity AI coding assistants, Experience building enterprise applications, Knowledge cloud platforms, Knowledge containerization, Fundamentals computer science, Fundamentals data structures, Fundamentals performance optimisation", "qualificationsPreferred" : "Experience building internal platforms, Experience building developer tools, Experience building systems for engineers, Background taking products through maturity stages, Exposure GTM, Exposure sales engineering, Exposure solutions engineering, Exposure customer-facing engineering", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Job Description Abnormal AI is revolutionising cybersecurity by leveraging AI-native technologies to combat modern cyber threats. Behind every fast-moving go-to-market motion is a platform that makes it possible — and that's what the AI GTM Platform team builds. We're the engineering team powering the forward-deployed product teams who sit shoulder-to-shoulder with our customers and internal stakeholders, turning enterprise pain points into shipped product on timelines traditional enterprise cycles can't match. If you love building leverage — tools, systems, and platforms that multiply the impact of others — and want to own products through every stage of their lifecycle, this role is for you. What You'll Do as a Software Engineer II As part of the AI GTM Platform team, you will: Build the platform that powers the field. Design and ship the internal products, APIs, and services that let our forward-deployed teams prototype, validate, and scale customer-facing solutions with unusual speed. Own the full product lifecycle — 0→1, 1→10, and 10→100. You'll work across Experimental, Early Access, and General Availability stages of platform products. It's rare to get to take an idea from a napkin sketch through enterprise-grade rollout; here, you'll do it, sometimes on multiple products in parallel. Work in one of the most dynamic problem spaces in the business. GTM is where strategy, customers, product, and revenue converge. Every customer interaction, every deal, every expansion flows through it — and the platforms you build shape how effectively all of that moves. Leverage AI-augmented development. Use AI coding assistants to enhance productivity, optimise workflows, and automate repetitive work. Combat modern cyber threats at scale. Build secure, scalable systems that sit inside a platform processing billions of security events for Fortune 500 enterprises. Partner closely with customers and the field. Work with the people closest to our enterprise customers to understand real problems, iterate quickly, and deliver solutions that compound over time. Technical Requirements We're looking for engineers who have: 3+ years of professional experience in software development. Backend development experience with Python, TypeScript, or Go. Solid fundamentals in at least one modern frontend framework (React, Angular, or Vue). AI accelerates a lot of the implementation work here — what matters is that you can read generated code critically, tell good patterns from bad, and ship frontends you'd be comfortable defending in review. Familiarity with — or genuine curiosity and willingness to learn — AI coding assistants as part of your everyday workflow. Experience or strong interest in building scalable, enterprise-grade applications. Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Strong fundamentals in computer science, data structures, and performance optimisation. Nice to Have Experience building internal platforms, developer tools, or systems used by other engineering and product teams. Background in taking products through multiple maturity stages (prototype → pilot → scale). Exposure to GTM, sales engineering, solutions engineering, or other customer-facing engineering environments. Why Abnormal Security — and Why This Team A rare breadth of surface area. Most platform roles specialise in one stage of maturity. Here, you'll operate across experimental prototypes, early-access pilots with design partners, and fully productised GA systems — and learn how each stage demands a different kind of engineering. Build for the sharpest users you'll ever have. Your internal users are the technical, fast-moving teams closest to our enterprise customers. They'll give you direct, high-signal feedback and put what you ship into customers' hands quickly. Direct line to business impact. GTM platforms are measured by how much faster the business moves as a result. Your work compounds across every customer engagement, every quarter. AI-native engineering culture. We expect AI-assisted development — it's how we stay small, fast, and ambitious. You'll have real room to experiment with and shape how the team uses these tools. Mission that matters. The systems you build ultimately protect the world's largest enterprises from sophisticated cyber attacks. Ready to be part of the AI transformation at Abnormal Security? Once you apply, you'll be invited to our AI-Augmented Development Challenge, where you'll gain hands-on experience with AI coding assistants to build real-world application features. This challenge is a take-home assignment requiring 2–4 hours of work to be completed within one week — apply when you're ready! #LI-JP2 Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.", "summaryDescription" : "Software Engineer 2 at Abnormal. Skills: AI-native technologies, Platform engineering, Cybersecurity. Build platform powering field. Design internal products", "postedDate" : "2026-06-11T20:54:25.994", "createdAt" : "2026-06-11T20:54:25.994", "lastUpdated" : "2026-06-14T21:47:58.661", "ingestTimestamp" : "2026-06-11T20:54:25.994", "mongoId" : "6a2a5c7874d8ee00a061473b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Backend development", "Frontend development", "AI-native technologies", "Platform engineering", "Cybersecurity", "System design", "AI-augmented development", "Enterprise-grade applications", "Cloud platforms", "Containerization", "AI coding assistants" ], "skillCount" : 11, "jobCategory" : "other", "jobSubcategory" : "division-foundations", "dataQualityScore" : 0.8888889, "_score" : 1063.9304, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Cybersecurity" }, { "id" : "6a2a8a7674d8ee00a0681fcc", "title" : "Associate Software Engineer", "company" : "Tapestry Solutions", "industry" : "Defense", "salary" : { "min" : 82000.0, "max" : 105300.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "USA - Hazelwood, MO", "locations" : [ "USA - Hazelwood, MO", "United States of America" ], "certifications" : [ "CompTIA Security+" ], "timestamp" : "2026-06-12T21:08:49.955", "fingerprint" : "38b7da6e89db0cd48b397f6300eda9c32fe5d27e6d465af4e9d0f010d5b10330", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/EXTERNAL_CAREERS/job/USA---Hazelwood-MO/Associate-Software-Engineer_JR2026511462-1", "externalId" : "JR2026511462", "industryFunction" : { }, "locationPoint" : "35.46871,-83.00403", "structuredLocations" : [ { "city" : "Hazelwood", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.7761446,-90.3715909" } ], "locationText" : "Hazelwood, Missouri, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "VB, C#, .NET, .NET Framework, SQL, C++", "professionalSkills" : [ "Software development", "Systems integration", "Customer requirements analysis", "Software maintenance", "Software optimization" ], "hardSkillsList" : [ "Database management", "Software debugging", "Software testing" ], "hardSkills" : [ { "name" : "Database management", "level" : "intermediate" }, { "name" : "Software debugging", "level" : "intermediate" }, { "name" : "Software testing", "level" : "intermediate" } ], "majorSkills" : "Software development, .NET, SQL", "majorSkillsList" : [ "Software development", ".NET", "SQL" ], "coreResponsibilities" : "Handle user inquiries, Troubleshoot technical issues, Analyze user feedback, Implement technologies, tools, frameworks, Implement changes in regulations, Execute software research projects, Document software research projects, Design software products, Develop software products, Maintain software products, Enhance software products, Optimize software products, Debug software issues, Resolve software issues", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Tomahawk program; Government regulations", "domainList" : [ "tomahawk-program", "government-regulations" ], "domainSpecificKnowledge" : [ "Tomahawk program", "Government regulations" ], "toolProficiency" : [ "Azure DevOps", "Jira" ], "documentationSkills" : "Document software research", "problemSolvingSkills" : "Troubleshoot technical issues; Debug software issues; Resolve software issues", "specialRequirements" : "Active U. S. Secret Clearance, Ability to obtain TS/SCI, U. S. Citizenship Required", "qualificationsBasic" : "Bachelor's Degree, Active U. S. Secret Clearance, Ability to meet DoD 8140 Program Foundational qualifications, 1+ year(s) experience with VB, C#, .NET, 1+ year(s) experience with SQL", "qualificationsPreferred" : "2+ years of experience with VB, C#, .NET, 2+ year of experience with SQL, .Net Framework (WinForms), Web Services (SOAP or Rest), Windows Environment (Windows 10/11, Windows Server), Project Management Tools (Azure DevOps, Jira), Azure DevOps Pipelines or other CI/CD tools, Unit testing frameworks (xUnit, jUnit, nUnit, MS Test), C++, Agile, Mathematical analysis skills, CompTIA Security+ certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Associate Software Engineer **Company:** Tapestry - G0G Tapestry Solutions, A Boeing Company, brings over 30 years of industry experience designing, implementing, training, and supporting high-quality, cost-effective information technology and business intelligence solutions. With a dedicated team of approximately 500 professionals, we proudly serve 75 defense, commercial, and government clients across more than 50 U.S. locations and 9 countries worldwide. As a trusted partner, our employees embody our core values by consistently delivering excellence, taking full ownership, and developing innovative solutions that enable critical missions and ensure the safety of our global customers and team members. Joining Tapestry Solutions means enjoying the best of both worlds: access to the vast resources of Boeing combined with the agility and people-focused, family-oriented culture of a small business where your contributions truly matter. Tapestry Solutions, a part of Boeing Global Services (BGS), is seeking an **Associate Software Engineer** in **Hazelwood, MO** for the Department of Navy Tomahawk Land-Attack Missile program. The Tomahawk program continues to grow and expand as a relevant deterrent against adversaries across the globe and is employed by multiple military organizations. This program is expected to remain in active service for the foreseeable future. The successful candidate for the role of Associate Software Engineer will play a crucial role in the design, development, testing, and maintenance of non-embedded software throughout the end-to-end lifecycle that meets industry, customer, and safety standards for the Tomahawk program, while adhering to strict government regulations. You will have the opportunity to review, analyze, and translate customer requirements into initial design of software products. Your expertise will be instrumental in developing, maintaining, enhancing and optimizing software products and functionalities for systems integrations. Additionally, you will debug and resolve issues identified to ensure the reliability and efficiency of software products. **Position Responsibilities:** * Handles user inquiries, troubleshoot technical issues and user feedback analysis * Implement current and emerging technologies, tools, frameworks and changes in regulations relevant to software development * Execute and document software research and development projects **Basic Qualifications (Required Skills/Experience):** * Bachelor’s Degree * Active U.S. Secret Clearance with the ability to obtain TS/SCI * Ability to meet DoD 8140 Program Foundational qualifications * 1+ year(s) of experience with VB, C#, .NET and/or .NET Framework * 1+ year(s) of experience with SQL or other relational database **Preferred Qualifications (Desired Skills/Experience):** * Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 2+ years of related work experience OR Bachelor’s Degree and 6+ years of directly related work experience OR 10+ years of related, relevant experience * 2+ years of experience with VB, C#, .NET and/or .NET Framework * 2+ year of experience with SQL or other relational database * .Net Framework (WinForms) * Web Services (SOAP or Rest) * Windows Environment (Windows 10/11, Windows Server) * Project Management Tools (Azure DevOps, Jira, etc.) * Azure DevOps Pipelines or other CI/CD tools * Unit testing frameworks like xUnit, jUnit, nUnit, or MS Test * C++ * Agile * Strong mathematical analysis skills * CompTIA Security+ certification **Drug Free Workplace:** We are a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. **Pay & Benefits:** We strive to deliver a total rewards package that will attract, engage and retain the top talent. Elements of this package include competitive base pay and variable compensation opportunities. We also provide eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location and date of hire. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary base pay range $82,000 - $105,300 **Language Requirements:** Not Applicable **Education:** Bachelor's Degree or Equivalent **Relocation:** Relocation assistance is not a negotiable benefit for this position. **Export Control Requirement:** This is not an Export Control position. **Safety Sensitive:** This is not a Safety Sensitive Position. **Security Clearance:** This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Shift 1 (United States of America) **Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud** \\- [Recruitment Fraud Warning](http://www.boeing.com/careers/recruitment-fraud-warning.page) Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. [EEO is the law](http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf) [Boeing EEO Policy](https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf) [Request an Accommodation](http://www.boeing.com/careers/request-accommodation.page) [Applicant Privacy](http://www.boeing.com/careers/privacy-statement.page) **Boeing Participates in E – Verify** * [E-Verify (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf) * [E-Verify (Spanish) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf) **Right to Work Statement** * [Right to Work (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf) * [Right to Work (Spanish)](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf)", "summaryDescription" : "Associate Software Engineer at Tapestry Solutions. Skills: Software development, .NET, SQL. Handle user inquiries. Troubleshoot technical issues", "postedDate" : "2026-06-11T16:01:47.398", "createdAt" : "2026-06-11T16:01:47.351", "lastUpdated" : "2026-06-12T21:08:49.955", "ingestTimestamp" : "2026-06-11T16:01:47.351", "mongoId" : "6a2a8a7674d8ee00a0681fcc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://boeing.wd1.myworkdayjobs.com/EXTERNAL_CAREERS/job/USA---Hazelwood-MO/Associate-Software-Engineer_JR2026511462-1", "salaryAnnualMin" : 82000, "salaryAnnualMax" : 105300, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Database management", "Software debugging", "Software testing", "Software development", ".NET", "SQL", "Systems integration", "Customer requirements analysis", "Software maintenance", "Software optimization", "Agile", "Tomahawk program", "Government regulations", "CompTIA Security+", "Azure DevOps", "Jira" ], "skillCount" : 16, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 1062.4089, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense" }, { "id" : "6a2a847d74d8ee00a067903f", "title" : "Senior AI/ML Engineer: Python & Scientific Computing", "company" : "Swayable", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States", "Remote", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-14T21:00:50.693", "fingerprint" : "9de8f1274e086ca4b658f6a9de5df15b161eb3857ea206ad9e8749b61d91ee38", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/swayable/jobs/5146737007", "externalId" : "5146737007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Numpy, Scipy, Scikit-learn, Pandas, Celery, Flask, JavaScript, Vue.js, Node.js, MongoDB, GraphQL, Machine learning, AI", "professionalSkills" : [ "Scientific computing", "Data science", "Software development", "High-performance computing", "Data visualization" ], "hardSkillsList" : [ "Quantitative data", "Vectorized code", "Parallel computing", "Machine learning", "AI Ops" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Quantitative data", "level" : "intermediate" }, { "name" : "Vectorized code", "level" : "intermediate" }, { "name" : "Parallel computing", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI Ops", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "AI/ML, Python, Scientific computing, Software engineering", "majorSkillsList" : [ "AI/ML", "Python", "Scientific computing", "Software engineering" ], "coreResponsibilities" : "Build analytics engine, Maintain analytics engine, Improve analytics engine, Productize AI, Productize machine learning, Productize data analysis, Build tools, Maintain tools, Improve tools, Build techniques, Maintain techniques, Improve techniques, Build architecture, Maintain architecture, Improve architecture, Build new features, Solve novel problems", "teamCollaboration" : "Talented diverse team; Engineers; Data scientists; Research staff", "domainKnowledge" : "Automated data science; Public opinion measurement; Message impact measurement; Advertising content impact; Distributed systems; Parallel computing systems", "domainList" : [ "automated-data-science", "public-opinion-measurement", "message-impact-measurement", "advertising-content-impact", "distributed-systems", "parallel-computing-systems" ], "domainSpecificKnowledge" : [ "Automated data science", "Public opinion measurement", "Message impact measurement", "Advertising content impact", "Distributed systems", "Parallel computing systems" ], "toolProficiency" : [ "Numpy", "Scipy", "Scikit-learn", "Pandas", "Celery", "Flask", "Vue.js", "Node.js", "MongoDB", "GraphQL" ], "communicationSkills" : "Technical documentation; Discuss tradeoffs", "documentationSkills" : "Write documentation", "problemSolvingSkills" : "Problem solving; Data-driven decisions", "qualificationsBasic" : "5+ years professional experience, Scientific or quantitative data-intensive software, Expertise in scientific Python stack, Object oriented development, Test-driven development, Vectorized code, Machine learning expertise, Excellent problem solving skills, Attention to detail, Architecting distributed systems, Maintaining distributed systems, Optimizing distributed systems, Architecting parallel computing systems, Maintaining parallel computing systems, Optimizing parallel computing systems, Knowledge of ML and AI Ops toolset, Knowledge of software architecture, Design scalable solutions, Design performant solutions, Value code quality, Write maintainable code, Write testable code", "qualificationsPreferred" : "Advanced degree (MSc or Ph.D.), Thorough knowledge of Linux, Experience with Celery, Experience with MongoDB, Believe in scientific method, Use data to drive decisions, Give informed feedback, Receive informed feedback, Give actionable feedback, Receive actionable feedback, Experienced at mentoring junior engineers, Communicator, Write documentation, Discuss tradeoffs of implementations", "rawDescription" : "About Swayable Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (American Express, Airbnb, Paramount Pictures), technology companies (Anthropic, Meta, Amazon), academic researchers (MIT, Yale, Stanford) and mission-aligned civic advocacy campaigns (e. g. on climate, human rights and elections). Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world’s most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands. Check our our values & culture deck to learn more: https://tinyurl.com/4zjchwzs Technology stack Swayable uses Python (Numpy, Scipy, scikit-learn, Pandas, Celery, Flask), JavaScript (Vue.js, Node.js), MongoDB, and GraphQL. About the role Swayable is seeking a Senior Engineer blending Python software development expertise with scientific computing, machine learning, and AI experience to advance the state of the art analytics engine that powers our core product. In this role, you will be part of the team that productizes all AI, machine learning, and data analysis at Swayable. You will be responsible for building, maintaining, and continuously improving our tools, techniques, and architecture for high-performance computing. You will work with a talented and diverse team of engineers, data scientists, and research staff to build new features and solve novel problems across the spectrum of software engineering, data visualization, and science. Requirements You have 5+ years of professional experience building scientific or quantitative data-intensive software. You have expertise in the scientific Python stack, object oriented and test-driven development, vectorized code, and machine learning. You have excellent problem solving skills and attention to detail. You have expertise in architecting, maintaining, and optimizing distributed, parallel computing systems. You keep up with the constantly evolving toolset for ML and AI Ops. You are knowledgeable about software architecture and can design scalable, performant solutions. You value code quality and write maintainable, testable code. Preferred qualifications You have an advanced degree (MSc or Ph.D.) in STEM. You have a thorough knowledge of the Linux operating system. You have experience with Celery, and MongoDB. You believe in the scientific method and use data to drive decisions. You can give and receive informed, actionable feedback on technical and non-technical skills. You are experienced at mentoring junior engineers. You are a strong communicator, especially in text. You can write documentation and discuss the tradeoffs of different implementations. Salary range: $175k-$250k", "summaryDescription" : "Senior AI/ML Engineer: Python & Scientific Computing at Swayable. Skills: AI/ML, Python, Scientific computing, Software engineering. Build analytics engine. Maintain analytics engine", "postedDate" : "2026-06-11T20:48:41.243", "createdAt" : "2026-06-11T20:48:41.243", "lastUpdated" : "2026-06-14T21:00:50.693", "ingestTimestamp" : "2026-06-11T20:48:41.243", "mongoId" : "6a2a847d74d8ee00a067903f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Quantitative data", "Vectorized code", "Parallel computing", "Machine learning", "AI Ops", "Mentoring", "AI/ML", "Python", "Scientific computing", "Software engineering", "Data science", "Software development", "High-performance computing", "Data visualization", "Automated data science", "Public opinion measurement", "Message impact measurement", "Advertising content impact", "Distributed systems", "Parallel computing systems", "Numpy", "Scipy", "Scikit-learn", "Pandas", "Celery", "Flask", "Vue.js", "Node.js", "MongoDB", "GraphQL" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 1049.7452, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c5fa774d8ee00a08ed9f4", "title" : "Senior Software Developer", "company" : "AppDirect", "salary" : { "min" : 115500.0, "max" : 165000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Software Developer in Montreal, Canada, adjusted for the SaaS industry and company size." }, "location" : "Montreal ", "locations" : [ "Montreal" ], "timestamp" : "2026-06-15T00:38:14.087", "fingerprint" : "e6b76994c8dcea62ae3f221d5ca35c072fa6943130f80572a92714d1e9b9752f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/appdirect/jobs/8589840002", "externalId" : "8589840002", "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Go, NoSQL, DynamoDB, Postgres, API Gateway, Lambda, Step Functions, AWS CDK, Terraform, Amazon EventBridge", "professionalSkills" : [ "Type-driven development", "Infrastructure as code", "NoSQL database modeling", "Relational databases", "Microservice event-driven design", "Technical trade-offs", "Organizational skills", "Solution-oriented mindset" ], "hardSkillsList" : [ "Database modeling", "API development", "Event-driven design" ], "softSkillsList" : [ "Inclusivity", "Mentoring" ], "hardSkills" : [ { "name" : "Database modeling", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Event-driven design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Inclusivity" }, { "name" : "Mentoring" } ], "majorSkills" : "Backend services, AWS, NoSQL, Microservices", "majorSkillsList" : [ "Backend services", "AWS", "NoSQL", "Microservices" ], "coreResponsibilities" : "Solve technical problems, Write scalable code, Write testable code, Write supportable code, Own code start to finish, Participate in code reviews, Troubleshoot complex issues, Drive apprenticeship program, Mentor new team members, Understand contributions to larger picture, Be open to different perspectives, Be inclusive in interactions", "teamCollaboration" : "Distributed development teams", "domainKnowledge" : "Cloud go-to-market; Cloud co-sell; Microservice architecture; Event-driven architecture", "domainList" : [ "cloud-go-to-market", "cloud-co-sell", "microservice-architecture", "event-driven-architecture" ], "domainSpecificKnowledge" : [ "Cloud go-to-market", "Cloud co-sell", "Microservice architecture", "Event-driven architecture" ], "toolProficiency" : [ "AWS CDK", "Terraform", "DynamoDB" ], "communicationSkills" : "Verbal communication; Written communication", "continuousLearning" : "Development plan", "problemSolvingSkills" : "Troubleshooting complex issues", "qualificationsBasic" : "6+ years professional experience, Type-driven development fundamentals, Deploy applications in AWS, Managed services in AWS, API Gateway experience, Lambda experience, Step Functions experience, Infrastructure as code experience, NoSQL database modeling, DynamoDB experience, Single Table Design experience, Relational databases experience, Postgres experience, Go experience, RESTful APIs experience, Microservice event-driven design, Amazon EventBridge experience, Evaluate technical trade-offs, Deliver balanced solutions, Organizational skills, Solution-oriented mindset, Flexible schedules, Asynchronous communication, Verbal communication, Written communication", "qualificationsPreferred" : "AWS CDK experience, Terraform experience, Deep knowledge of relational databases, Experience building resilient distributed systems", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Pour la version française de cette description de poste, veuillez consulter le lien suivant / For the French version of this job description, please refer to the following link Développeur/développeuse logiciel senior About AppDirect Become a digital, global citizen and enable the new generation of digital entrepreneurs around the world. AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture—one that enables you to Be Seen, Be Yourself, and Do Your Best Work. About Tackle, an AppDirect subsidiary Tackle, a business unit of AppDirect, is the leading solution built to help software companies generate revenue through data-driven Cloud go-to-market (Cloud GTM). Our platform and team help customers identify the right buyers, grow cloud co-sell relationships, and transact efficiently at scale through AWS, Google Cloud, and Microsoft. Tackle serves more than 500 software companies—including CrowdStrike, HashiCorp, New Relic, and Snyk—from high-growth startups to the largest software companies in the world. About You As a Senior Software Developer, you'll join a development team that crafts solid, reliable software at a sustainable pace using modern toolchains where code ships to production multiple times daily. You'll build resilient, performant multi-tiered applications that empower the software industry's most successful companies to scale their cloud and marketplace operations—while growing as a developer through a detailed development plan tailored to your interests and aspirations. What you’ll do and how you’ll have an impact Solve technical problems of high scope and complexity; Write code that is focused on scalability, testability, supportability and maintainability; Own your code start to finish, take pride in what you build; Actively and enthusiastically participate in thorough code reviews and troubleshooting complex issues; Drive the direction of our apprenticeship program for mentoring new team members and less experienced team members; Be curious - strive to understand how your contributions tie into the larger picture of your team, your product and AppDirect as a whole; Welcome different perspectives - be open and inclusive in every interaction. What we’re looking for 6+ years of professional experience building modern, scalable, high-performing backend services, demonstrating strong fundamentals in type-driven development practices; Professional experience deploying applications and managed services within AWS, including API Gateway, Lambda, Step Functions, and deep expertise in infrastructure as code with AWS CDK, Terraform, or similar frameworks; Advanced skill in NoSQL database modeling with DynamoDB (including Single Table Design) and deep knowledge of relational databases such as Postgres to power AppDirect's data infrastructure; Experience with Go is an asset; Strong experience building RESTful APIs and understanding of microservice event-driven design, ideally utilizing Amazon EventBridge to build resilient, distributed systems; A desire to hold yourself and the team to high standards while evaluating technical trade-offs and delivering balanced solutions that move AppDirect forward; Self-motivated with strong organizational skills, a positive and solution-oriented mindset, and the ability to thrive in a hybrid organization where flexible schedules require asynchronous communication; Communicate clearly and effectively in both verbal and written form, collaborating seamlessly across distributed development teams. At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice #LI-Hybrid", "summaryDescription" : "Senior Software Developer at AppDirect. Skills: Backend services, AWS, NoSQL, Microservices. Solve technical problems. Write scalable code", "postedDate" : "2026-06-12T22:28:19.259", "createdAt" : "2026-06-12T22:28:19.259", "lastUpdated" : "2026-06-15T00:38:14.087", "ingestTimestamp" : "2026-06-12T22:28:19.259", "mongoId" : "6a2c5fa774d8ee00a08ed9f4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Database modeling", "API development", "Event-driven design", "Inclusivity", "Mentoring", "Backend services", "AWS", "NoSQL", "Microservices", "Type-driven development", "Infrastructure as code", "NoSQL database modeling", "Relational databases", "Microservice event-driven design", "Technical trade-offs", "Organizational skills", "Solution-oriented mindset", "Cloud go-to-market", "Cloud co-sell", "Microservice architecture", "Event-driven architecture", "AWS CDK", "Terraform", "DynamoDB" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 1048.2231, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2abe2074d8ee00a06ecaab", "title" : "Associate Software Engineer", "company" : "Tapestry Solutions", "industry" : "Defense", "salary" : { "min" : 82000.0, "max" : 105300.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "USA - Hazelwood, MO", "locations" : [ "USA - Hazelwood, MO", "United States of America" ], "certifications" : [ "CompTIA Security+" ], "timestamp" : "2026-06-14T22:54:54.939", "fingerprint" : "e51c359768d5b9bd4797768a377c8b8d4b1f4a6df42ab1e08bad6e714008f846", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/USA---Hazelwood-MO/Associate-Software-Engineer_JR2026511462", "externalId" : "JR2026511462", "industryFunction" : { }, "locationPoint" : "35.46871,-83.00403", "structuredLocations" : [ { "city" : "Hazelwood", "state" : "Missouri", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.7761446,-90.3715909" } ], "locationText" : "Hazelwood, Missouri, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "VB, C#, .NET, .NET Framework, SQL, C++", "professionalSkills" : [ "Software development", "Systems integration", "Customer requirements analysis", "Software maintenance", "Software optimization" ], "hardSkillsList" : [ "Database management", "Software debugging", "Software testing" ], "hardSkills" : [ { "name" : "Database management", "level" : "intermediate" }, { "name" : "Software debugging", "level" : "intermediate" }, { "name" : "Software testing", "level" : "intermediate" } ], "majorSkills" : "Software development, .NET, SQL", "majorSkillsList" : [ "Software development", ".NET", "SQL" ], "coreResponsibilities" : "Handle user inquiries, Troubleshoot technical issues, Analyze user feedback, Implement technologies, tools, frameworks, Execute R&D projects, Document R&D projects, Design software products, Develop software products, Maintain software products, Enhance software products, Optimize software products, Debug software issues, Resolve software issues", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Tomahawk program; Government regulations", "domainList" : [ "tomahawk-program", "government-regulations" ], "domainSpecificKnowledge" : [ "Tomahawk program", "Government regulations" ], "toolProficiency" : [ "Azure DevOps", "Jira" ], "documentationSkills" : "Document software research", "problemSolvingSkills" : "Troubleshoot technical issues; Debug software issues; Resolve software issues", "specialRequirements" : "Active U. S. Secret Clearance, Ability to obtain TS/SCI, Meet DoD 8140 Program Foundational qualifications", "qualificationsBasic" : "Bachelor's Degree, Active U. S. Secret Clearance, Ability to meet DoD 8140 Program Foundational qualifications, 1+ year(s) experience with VB, C#, .NET, 1+ year(s) experience with SQL", "qualificationsPreferred" : "2+ years of experience with VB, C#, .NET, 2+ year of experience with SQL, .Net Framework (WinForms), Web Services (SOAP or Rest), Windows Environment (Windows 10/11, Windows Server), Project Management Tools (Azure DevOps, Jira), Azure DevOps Pipelines or other CI/CD tools, Unit testing frameworks (xUnit, jUnit, nUnit, MS Test), C++, Agile, Mathematical analysis skills, CompTIA Security+ certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Associate Software Engineer **Company:** Tapestry - G0G Tapestry Solutions, A Boeing Company, brings over 30 years of industry experience designing, implementing, training, and supporting high-quality, cost-effective information technology and business intelligence solutions. With a dedicated team of approximately 500 professionals, we proudly serve 75 defense, commercial, and government clients across more than 50 U.S. locations and 9 countries worldwide. As a trusted partner, our employees embody our core values by consistently delivering excellence, taking full ownership, and developing innovative solutions that enable critical missions and ensure the safety of our global customers and team members. Joining Tapestry Solutions means enjoying the best of both worlds: access to the vast resources of Boeing combined with the agility and people-focused, family-oriented culture of a small business where your contributions truly matter. Tapestry Solutions, a part of Boeing Global Services (BGS), is seeking an **Associate Software Engineer** in **Hazelwood, MO** for the Department of Navy Tomahawk Land-Attack Missile program. The Tomahawk program continues to grow and expand as a relevant deterrent against adversaries across the globe and is employed by multiple military organizations. This program is expected to remain in active service for the foreseeable future. The successful candidate for the role of Associate Software Engineer will play a crucial role in the design, development, testing, and maintenance of non-embedded software throughout the end-to-end lifecycle that meets industry, customer, and safety standards for the Tomahawk program, while adhering to strict government regulations. You will have the opportunity to review, analyze, and translate customer requirements into initial design of software products. Your expertise will be instrumental in developing, maintaining, enhancing and optimizing software products and functionalities for systems integrations. Additionally, you will debug and resolve issues identified to ensure the reliability and efficiency of software products. **Position Responsibilities:** * Handles user inquiries, troubleshoot technical issues and user feedback analysis * Implement current and emerging technologies, tools, frameworks and changes in regulations relevant to software development * Execute and document software research and development projects **Basic Qualifications (Required Skills/Experience):** * Bachelor’s Degree * Active U.S. Secret Clearance with the ability to obtain TS/SCI * Ability to meet DoD 8140 Program Foundational qualifications * 1+ year(s) of experience with VB, C#, .NET and/or .NET Framework * 1+ year(s) of experience with SQL or other relational database **Preferred Qualifications (Desired Skills/Experience):** * Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science and 2+ years of related work experience OR Bachelor’s Degree and 6+ years of directly related work experience OR 10+ years of related, relevant experience * 2+ years of experience with VB, C#, .NET and/or .NET Framework * 2+ year of experience with SQL or other relational database * .Net Framework (WinForms) * Web Services (SOAP or Rest) * Windows Environment (Windows 10/11, Windows Server) * Project Management Tools (Azure DevOps, Jira, etc.) * Azure DevOps Pipelines or other CI/CD tools * Unit testing frameworks like xUnit, jUnit, nUnit, or MS Test * C++ * Agile * Strong mathematical analysis skills * CompTIA Security+ certification **Drug Free Workplace:** We are a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. **Pay & Benefits:** We strive to deliver a total rewards package that will attract, engage and retain the top talent. Elements of this package include competitive base pay and variable compensation opportunities. We also provide eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location and date of hire. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary base pay range $82,000 - $105,300 **Language Requirements:** Not Applicable **Education:** Bachelor's Degree or Equivalent **Relocation:** Relocation assistance is not a negotiable benefit for this position. **Export Control Requirement:** This is not an Export Control position. **Safety Sensitive:** This is not a Safety Sensitive Position. **Security Clearance:** This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active) **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Shift 1 (United States of America) **Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud** \\- [Recruitment Fraud Warning](http://www.boeing.com/careers/recruitment-fraud-warning.page) Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. [EEO is the law](http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf) [Boeing EEO Policy](https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf) [Request an Accommodation](http://www.boeing.com/careers/request-accommodation.page) [Applicant Privacy](http://www.boeing.com/careers/privacy-statement.page) **Boeing Participates in E – Verify** * [E-Verify (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf) * [E-Verify (Spanish) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf) **Right to Work Statement** * [Right to Work (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf) * [Right to Work (Spanish)](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf)", "summaryDescription" : "Associate Software Engineer at Tapestry Solutions. Skills: Software development, .NET, SQL. Handle user inquiries. Troubleshoot technical issues", "postedDate" : "2026-06-11T05:26:01.433", "createdAt" : "2026-06-12T05:26:01.362", "lastUpdated" : "2026-06-14T22:54:54.939", "ingestTimestamp" : "2026-06-12T05:26:01.362", "mongoId" : "6a2abe2074d8ee00a06ecaab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/USA---Hazelwood-MO/Associate-Software-Engineer_JR2026511462", "salaryAnnualMin" : 82000, "salaryAnnualMax" : 105300, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Database management", "Software debugging", "Software testing", "Software development", ".NET", "SQL", "Systems integration", "Customer requirements analysis", "Software maintenance", "Software optimization", "Agile", "Tomahawk program", "Government regulations", "CompTIA Security+", "Azure DevOps", "Jira" ], "skillCount" : 16, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 1033.0356, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Defense" }, { "id" : "6a2c5e6874d8ee00a08e3d39", "title" : "Lead SQL Engineer", "company" : "Triple Whale", "industry" : "e-commerce SaaS", "salary" : { "min" : 145000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote US", "locations" : [ "Remote US" ], "timestamp" : "2026-06-14T19:07:33.985", "fingerprint" : "776cbeebe774142b56aa2150410b43cd068a499fb285eff1384ea2dce7bac5b8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/triplewhale/jobs/5257207008", "externalId" : "5257207008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, BigQuery, ClickHouse", "professionalSkills" : [ "Customer analytics", "Data products", "Data logic", "Data joins", "Capacity planning", "Product insights", "Technical priorities" ], "hardSkillsList" : [ "Performance optimisation", "Data quality", "Technical scope", "Data modelling" ], "softSkillsList" : [ "Leadership", "Ownership" ], "hardSkills" : [ { "name" : "Performance optimisation", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Technical scope", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Ownership" } ], "majorSkills" : "SQL engineering, Team leadership, Customer facing", "majorSkillsList" : [ "SQL engineering", "Team leadership", "Customer facing" ], "coreResponsibilities" : "Lead, coach, develop distributed team, Own end-to-end service model, Serve as customer-facing technical leader, Set standard for delivery quality, Improve systems and processes, Build thoughtful taxonomy of customer requests, Partner with internal teams, Identify self-serve solutions, Continue team partnership with Product/Engineering, Balance customer-facing delivery with internal priorities, Act as technical voice", "teamCollaboration" : "Partner with Customer Success; Partner with Solutions Architecture; Partner with Implementation; Partner with Sales; Partner with Product; Partner with Engineering; Partner with internal teams", "projectManagementSkills" : [ "Jira execution", "Capacity planning", "Request categorisation", "SLAs" ], "domainKnowledge" : "E-commerce data; Marketing data; Attribution modelling; Customer analytics; Shopify; Meta; Google; TikTok; Klaviyo; LLM-assisted analytics", "domainList" : [ "e-commerce-data", "marketing-data", "attribution-modelling", "customer-analytics", "shopify", "meta", "google", "tiktok", "klaviyo", "llm-assisted-analytics" ], "domainSpecificKnowledge" : [ "E-commerce data", "Marketing data", "Attribution modelling", "Customer analytics", "Shopify", "Meta", "Google", "TikTok", "Klaviyo", "LLM-assisted analytics" ], "toolProficiency" : [ "Jira", "Slack", "HubSpot" ], "communicationSkills" : "Customer calls; Present dashboards; Explain data logic; Translate business questions; Technical explanations", "documentationSkills" : "Well-documented; Documentation", "problemSolvingSkills" : "Translate ambiguous business questions", "outcomesObjectives" : "Ensure every deliverable is accurate; Ensure every deliverable is actionable; Ensure every deliverable is loved by customers", "qualificationsBasic" : "6+ years writing production SQL, 2+ years managing data engineers, Experience running request-driven service model, Customer presence, Hands-on familiarity modern e-commerce data stack, Systems thinking, Comfort working in Jira, Slack, HubSpot, Excellent written communication", "qualificationsPreferred" : "Python for analysis or pipeline scaffolding, Experience with LLM-assisted analytics workflows, Prior experience high-growth e-commerce SaaS", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "What Do We Do? Triple Whale is the AI operating system built for modern ecommmerce. We help you see what's actually working in your business, what's not, and what to do next. Then we take action for you — pausing the underperforming ad, generating the next batch of creative, flagging the inventory risk before it bites. We pull every signal in your business into one place, and put it on the most trusted measurement foundation in the industry. And on top of that, we give you the most actionable AI in commerce — Moby 2 — letting you tap any LLM you want, grounded in the full context of your business. Moby 2 doesn't just surface insights, it executes decisions for you, with automations that make the rest of your stack smarter. The result: more than 60,000 brands like Pressed Juicery, OUAI, and True Classic turn mountains of complex data into actions that actually grow profit, at a speed and scale that is not humanly possible. What You're Applying For Triple Whale is hiring its first US-based Lead SQL Engineer to lead the team, service model, and delivery of custom analytics assets for our customers, including dashboards, queries, and bespoke data products. Today, our SQL team plays a critical role in customer outcomes. Custom dashboards are a paid product, a key retention lever for our highest-value accounts, and an increasingly important part of renewal and expansion conversations. This role will lead the team’s evolution from a behind-the-scenes ticketing function into a direct, customer-facing service organisation that partners with customers on strategic data work. As Lead SQL Engineer, you’ll own how work is requested, scoped, delivered, reviewed, and scaled. You’ll lead a distributed team, set the quality bar, partner closely with customers and internal teams, and ensure every deliverable is accurate, actionable, and loved by customers. What You'll Do Lead, coach, and develop a distributed team of SQL engineers across the US and Eastern Europe. Own the end-to-end service model for custom analytics requests, including intake, scoping, Jira execution, QA, customer review, feedback loops, and SLAs. Serve as a customer-facing technical leader, joining calls to scope complex requests, present dashboards, explain data logic, and translate business questions into clear SQL deliverables. Set the standard for delivery quality, ensuring dashboards and queries are accurate, well-documented, and QA’d against key Triple Whale data sources before reaching customers. Improve the systems and processes that support the team, including ticket routing, request categorisation, capacity planning, documentation, and reporting. Build a more thoughtful taxonomy of customer requests by product surface, segment, complexity, and use case to improve planning and surface product insights. Partner with Customer Success, Solutions Architecture, Implementation, Sales, Product, and Engineering to support renewals, expansions, escalations, and strategic customer work. Help identify which requests should be solved through self-serve product functionality, documentation, enablement, or Product/Engineering investment rather than custom SQL. Continue the team’s partnership with Product and Engineering on internal platform work, including template libraries, Moby-related SQL work, migrations, and AI-enabled analytics workflows. Balance customer-facing delivery with internal technical priorities, ensuring the team’s time is focused on the highest-impact work. Act as the technical voice in conversations around Advanced Intelligence credits, customer value, and the role of custom analytics in retention and expansion. What You'll Bring 6+ years of experience writing and shipping production SQL at scale, ideally with e-commerce, marketing, attribution, or customer analytics data. Strong experience with BigQuery and/or ClickHouse, including performance optimisation, edge cases, and data quality considerations. 2+ years of experience managing data engineers, analysts, BI engineers, or a customer-facing technical delivery team. Experience running or improving a request-driven service model with intake, ticketing, QA, SLAs, delivery standards, and feedback loops. Strong customer presence, with the ability to lead calls with senior marketing, growth, or data stakeholders and turn ambiguous business questions into clear technical scope. Hands-on familiarity with the modern e-commerce data stack, including Shopify, Meta, Google, TikTok, Klaviyo, attribution modelling, and the data joins required to connect them. Strong systems thinking, with the ability to design scalable workflows, improve visibility, and create structure in a high-volume environment. Comfort working in Jira, Slack, HubSpot, and other workflow tools to create clear, measurable, and repeatable processes. Excellent written communication, with the ability to produce clear Jira updates, customer notes, documentation, team standards, and technical explanations. A strong ownership mindset, with the ability to balance technical depth, customer empathy, team leadership, and operational execution. *Nice to have: Python for analysis or pipeline scaffolding, experience with LLM-assisted analytics workflows, or prior experience in a high-growth e-commerce SaaS environment. Our Values We Are Customer Obsessed: From our mission to every detailed project, everything we do is designed to create a positive impact for our customers. We Move (Very!) Quickly: The speed at which we work, iterate, and deliver value is our most competitive advantage. We Are Trustworthy: Candor, directness, and honest communication helps us learn, grow and improve so we can win together. We Are Curious: We extend beyond our comfort zone and ask questions that guide us towards new, creative, and bold paths. We Act Like A Mensch: We act with honor, integrity and empathy, and have deep respect for our customers and each other. Base Compensation Range: $145,000 - 175,000 Our compensation ranges are set using benchmarks from growth-stage companies and factor in function, level, and location—so everything stays balanced and competitive. The range listed on each job posting reflects the minimum and maximum target salary across all U. S. locations. Triple Whale is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Join Us in Making Waves If you’re looking for more than just a job and want to be part of a movement reshaping the future of Ecommerce, Triple Whale is the place for you. We’re on the lookout for driven, curious, and creative individuals ready to thrive in a fast-paced environment. Referred? Got here thanks to a friend? Splash some gratitude their way! They'll need to submit your application through our referral system to make it official. #LI-Remote", "summaryDescription" : "Lead SQL Engineer at Triple Whale. Skills: SQL engineering, Team leadership, Customer facing. Lead, coach, develop distributed team. Own end-to-end service model", "postedDate" : "2026-06-12T22:14:43.912", "createdAt" : "2026-06-12T22:14:43.912", "lastUpdated" : "2026-06-14T19:07:33.985", "ingestTimestamp" : "2026-06-12T22:14:43.912", "mongoId" : "6a2c5e6874d8ee00a08e3d39", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Performance optimisation", "Data quality", "Technical scope", "Data modelling", "Leadership", "Ownership", "SQL engineering", "Team leadership", "Customer facing", "Customer analytics", "Data products", "Data logic", "Data joins", "Capacity planning", "Product insights", "Technical priorities", "Jira execution", "Request categorisation", "SLAs", "E-commerce data", "Marketing data", "Attribution modelling", "Shopify", "Meta", "Google", "TikTok", "Klaviyo", "LLM-assisted analytics", "Jira", "Slack", "HubSpot" ], "skillCount" : 31, "jobCategory" : "other", "jobSubcategory" : "professional-services", "dataQualityScore" : 1.0, "_score" : 1032.1848, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "e-commerce SaaS" }, { "id" : "6a2ab6cf74d8ee00a06e1b29", "title" : "Senior Quantitative Treasury & ALM Risk Analyst", "company" : "Ebury", "industry" : "FinTech", "salary" : { "min" : 60000.0, "max" : 85000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Quantitative Treasury & ALM Risk Analyst in Madrid, Spain, adjusted for the FinTech industry and company size." }, "location" : "Madrid", "locations" : [ "Madrid" ], "timestamp" : "2026-06-14T20:28:07.043", "fingerprint" : "48972d2e3042d0bb6ba648b700dd64565ba929bbd3fc0782611403a4497d6ae2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ebury.com/company/careers/job?gh_jid=4894996101", "externalId" : "4894996101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, NumPy, Pandas, SQL", "professionalSkills" : [ "Quantitative analysis", "Risk modelling", "Data analysis", "Hedging strategies", "Interest rate risk", "IFRS valuation", "Delta attribution", "Pricing strategies", "Revenue optimization" ], "hardSkillsList" : [ "Quantitative modelling", "Liquidity risk simulations", "VaR99 calculations", "Portfolio correlation analysis", "Multi-entity hedging", "Multi-currency hedging", "DV01 analysis", "Code refactoring", "Code optimization" ], "softSkillsList" : [ "Creative thinking", "Innovative thinking", "Analytical skills", "Problem-solving skills", "Curiosity", "Drive to learn" ], "hardSkills" : [ { "name" : "Quantitative modelling", "level" : "intermediate" }, { "name" : "Liquidity risk simulations", "level" : "intermediate" }, { "name" : "VaR99 calculations", "level" : "intermediate" }, { "name" : "Portfolio correlation analysis", "level" : "intermediate" }, { "name" : "Multi-entity hedging", "level" : "intermediate" }, { "name" : "Multi-currency hedging", "level" : "intermediate" }, { "name" : "DV01 analysis", "level" : "intermediate" }, { "name" : "Code refactoring", "level" : "intermediate" }, { "name" : "Code optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creative thinking" }, { "name" : "Innovative thinking" }, { "name" : "Analytical skills" }, { "name" : "Problem-solving skills" }, { "name" : "Curiosity" }, { "name" : "Drive to learn" } ], "majorSkills" : "Quantitative Treasury, ALM Risk Modelling, Python, SQL", "majorSkillsList" : [ "Quantitative Treasury", "ALM Risk Modelling", "Python", "SQL" ], "coreResponsibilities" : "Assist in development and implementation of quantitative risk, Contribute to simulation of balance sheet evolution, Develop multi-entity, multi-currency hedging strategies, Support mapping of interest rate risk, Automate hedging strategies, Participate in IFRS valuation projects, Participate in delta attribution projects, Link market impacts to revenue drivers, Contribute to refactoring and optimization of code, Assist in analysis of pricing strategies, Assist in analysis of revenue optimization strategies, Document quantitative findings, Present quantitative findings to the team, Brainstorm ideas to innovate current processes", "teamCollaboration" : "Collaborative team environment; Contribute ideas", "domainKnowledge" : "Liquidity risk; Interest rate risk; IFRS valuation; Quantitative finance; Risk modeling", "domainList" : [ "liquidity-risk", "interest-rate-risk", "ifrs-valuation", "quantitative-finance", "risk-modeling" ], "domainSpecificKnowledge" : [ "Liquidity risk", "Interest rate risk", "IFRS valuation", "Quantitative finance", "Risk modeling" ], "toolProficiency" : [ "Python", "SQL" ], "communicationSkills" : "Communication skills; Presentation skills; Explain complex concepts; Confident communication in English", "documentationSkills" : "Documentation", "continuousLearning" : "Drive to learn complex financial concepts", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "qualificationsBasic" : "+5 years of experience in quantitative analysis or programming, Proficiency in Python, Proficiency in SQL", "qualificationsPreferred" : "Experience in quantitative finance or data analysis would be a plus, Interest and aptitude for quantitative finance and risk modeling", "workSiteFlexibility" : "Onsite", "rawDescription" : "Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Quantitative Treasury/ALM Risk Modelling we redefine them. What you’ll do Assist in the development and implementation of advanced quantitative risk models, including liquidity risk simulations, VaR99 calculations, and portfolio correlation analysis. Contribute to the simulation of balance sheet evolution and the development of multi-entity, multi-currency hedging strategies. Support the mapping of interest rate risk through DV01 analysis and the automation of hedging strategies. Participate in IFRS valuation and delta attribution projects, linking market impacts to revenue drivers. Contribute to the refactoring and optimization of our code using Python and SQL. Assist in the analysis of pricing and revenue optimization strategies. Document and present quantitative findings to the team. Brainstorm and contribute ideas to innovate current processes. What you’ll need +5 years of experience in quantitative analysis or programming. Proficiency in Python (NumPy, Pandas) and SQL. Experience in quantitative finance or data analysis would be a plus. A strong passion for quantitative financial mathematics and quantitative analysis. Creative and innovative thinking, with a desire to challenge existing methodologies. Analytical and problem-solving skills. Communication, documentation and presentation skills with the ability to explain complex concepts clearly and concisely. Curiosity and a drive to learn complex financial concepts. Ability to work effectively in a collaborative team environment. Confident communication in English, both written and spoken. Open to candidates from diverse academic backgrounds, provided they demonstrate a strong interest and aptitude for quantitative finance and risk modeling. Why Ebury? Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one. Dedicated Mentorship: Learn directly from experienced managers who are invested in your success. Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best. Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury. Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized. Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits. Central Malaga Office: A fantastic location with excellent transport links. Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury! #LI-GC2 #LI-HYBRID About us Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team. At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars. We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.", "summaryDescription" : "Senior Quantitative Treasury & ALM Risk Analyst at Ebury. Skills: Quantitative Treasury, ALM Risk Modelling, Python, SQL. Assist in development and implementation of quantitative risk. Contribute to simulation of balance sheet evolution", "postedDate" : "2026-06-11T21:34:24.503", "createdAt" : "2026-06-11T21:34:24.503", "lastUpdated" : "2026-06-14T20:28:07.043", "ingestTimestamp" : "2026-06-11T21:34:24.503", "mongoId" : "6a2ab6cf74d8ee00a06e1b29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Quantitative modelling", "Liquidity risk simulations", "VaR99 calculations", "Portfolio correlation analysis", "Multi-entity hedging", "Multi-currency hedging", "DV01 analysis", "Code refactoring", "Code optimization", "Creative thinking", "Innovative thinking", "Analytical skills", "Problem-solving skills", "Curiosity", "Drive to learn", "Quantitative Treasury", "ALM Risk Modelling", "Python", "SQL", "Quantitative analysis", "Risk modelling", "Data analysis", "Hedging strategies", "Interest rate risk", "IFRS valuation", "Delta attribution", "Pricing strategies", "Revenue optimization", "Liquidity risk", "Quantitative finance", "Risk modeling" ], "skillCount" : 31, "jobCategory" : "other", "jobSubcategory" : "treasury", "dataQualityScore" : 0.8888889, "_score" : 1017.26166, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech" }, { "id" : "6a2ac3cf74d8ee00a06fb9cf", "title" : "Senior Data Scientist", "company" : "CoreWeave", "industry" : "Technology", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Scientist in London, UK, adjusted for the technology industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-14T21:14:47.005", "fingerprint" : "430520eadf38c3aca0f49cb0f552331d10f9db921c67a15f320a2614bc5726dc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://coreweave.com/careers/job?4688239006&board=coreweaveu&gh_jid=4688239006", "externalId" : "4688239006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, NumPy, pandas, SciPy, scikit-learn, PyTorch, TensorFlow", "professionalSkills" : [ "Physical AI", "ML methods", "Production solutions", "Anomaly detection", "Optimisation", "Reliability modelling", "Agentic systems", "Autonomous systems", "MLOps", "Model monitoring", "Compute practices" ], "hardSkillsList" : [ "Statistical modelling", "Machine learning experimentation", "Evaluation", "Time-series analysis", "High-dimensional analysis", "Real-world data analysis", "Anomaly detection", "Optimisation", "Reliability modelling", "Agentic systems", "Autonomous systems", "MLOps", "Model monitoring", "Compute practices" ], "softSkillsList" : [ "Technical curiosity", "Critical thinking" ], "hardSkills" : [ { "name" : "Statistical modelling", "level" : "intermediate" }, { "name" : "Machine learning experimentation", "level" : "intermediate" }, { "name" : "Evaluation", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "High-dimensional analysis", "level" : "intermediate" }, { "name" : "Real-world data analysis", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Optimisation", "level" : "intermediate" }, { "name" : "Reliability modelling", "level" : "intermediate" }, { "name" : "Agentic systems", "level" : "intermediate" }, { "name" : "Autonomous systems", "level" : "intermediate" }, { "name" : "MLOps", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Compute practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Technical curiosity" }, { "name" : "Critical thinking" } ], "majorSkills" : "Machine learning, Applied AI, Production ML systems, Physical AI", "majorSkillsList" : [ "Machine learning", "Applied AI", "Production ML systems", "Physical AI" ], "coreResponsibilities" : "Take end-to-end ownership of complex machine learning problems, Work closely with engineering teams, Work closely with product teams, Work closely with client-facing teams, Turn advanced ML methods into production-ready solutions, Align stakeholders, Surface risks, Surface limitations, Communicate technical decisions clearly", "teamCollaboration" : "Cross-functionally with engineering; Cross-functionally with product; Cross-functionally with customer-facing teams; With deployed teams; With client-facing teams", "domainKnowledge" : "Physical AI; Complex physical systems; Industrial settings; Engineering workflows", "domainList" : [ "physical-ai", "complex-physical-systems", "industrial-settings", "engineering-workflows" ], "domainSpecificKnowledge" : [ "Physical AI", "Complex physical systems", "Industrial settings", "Engineering workflows" ], "toolProficiency" : [ "NumPy", "pandas", "SciPy", "scikit-learn", "PyTorch", "TensorFlow" ], "communicationSkills" : "Explain technical decisions", "continuousLearning" : "Keeping up with current ML research; Keeping up with AI research", "innovationCreativity" : "Innovative solutions", "problemSolvingSkills" : "Problem framing; Experimentation", "specialRequirements" : "Basic criminal record check", "outcomesObjectives" : "Build and scale AI with confidence; Accelerate breakthroughs; Turn compute into capability", "qualificationsBasic" : "5+ years of experience in data science, 5+ years of experience in machine learning, 5+ years of experience in applied AI, Evidence of delivering high-impact production ML systems, Software engineering skills in Python, Experience using NumPy, Experience using pandas, Experience using SciPy, Experience using scikit-learn, Experience using PyTorch, Experience using TensorFlow, Experience deploying ML systems in production, Experience supporting ML systems in production, Experience with cloud-based environments, Grounding in statistical modelling, Grounding in machine learning experimentation, Grounding in evaluation, Experience working with time-series datasets, Experience working with high-dimensional datasets, Experience working with imperfect real-world datasets", "qualificationsPreferred" : "Background in engineering, Background in physics, Background in chemistry, Background in STEM discipline connected to complex physical systems, Experience with anomaly detection, Experience with optimisation, Experience with reliability-focused modelling, Experience with related approaches in industrial settings, Experience building agents, Experience experimenting with agents, Experience building autonomous systems, Experience experimenting with autonomous systems, Familiarity with MLOps, Familiarity with model monitoring, Familiarity with efficient compute practices, Experience working with sparse real-world data, Experience working with noisy real-world data, Track record of collaborating closely with deployed teams, Track record of collaborating closely with client-facing teams, PhD preferred", "workSiteFlexibility" : "Flexible", "rawDescription" : "CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. We're proud to be a Living Wage accredited Employer. What You’ll Do: CoreWeave’s Monolith team is building the essential cloud platform for AI innovators, applying machine learning to solve intractable physics and engineering challenges. We operate at the intersection of advanced cloud infrastructure and applied data science, transforming how complex industrial products - such as automotive systems, aircraft, and advanced batteries - are conceived, tested, and developed. About the role: As a Senior Data Scientist, you will take end-to-end ownership of complex machine learning problems across the Physical AI space. This is a high-impact role for someone with a strong technical foundation and a generalist mindset who can move from problem framing and experimentation through deployment and ongoing support. You will work closely with engineering, product, and client-facing teams to turn advanced ML methods into production-ready solutions that can be trusted in real customer environments. The role blends research depth with practical delivery, and requires someone who can align stakeholders, surface risks and limitations, and communicate technical decisions clearly. Who You Are: 5+ years of experience in data science, machine learning, or applied AI, with evidence of delivering high-impact production ML systems. Strong software engineering skills in Python, with extensive experience using scientific computing and ML libraries such as NumPy, pandas, SciPy, scikit-learn, PyTorch, or TensorFlow. Experience deploying and supporting ML systems in production, including cloud-based environments. Strong grounding in statistical modelling, machine learning experimentation, and evaluation. Experience working with time-series, high-dimensional, or imperfect real-world datasets. Strong technical curiosity and a habit of keeping up with current ML and AI research. Comfortable working cross-functionally with engineering, product, and customer-facing teams, and able to explain technical decisions clearly to different audiences. Preferred: (if applicable) Background in engineering, physics, chemistry, or another STEM discipline connected to complex physical systems. Experience with anomaly detection, optimisation, reliability-focused modelling, or related approaches in industrial settings. Experience building or experimenting with agents or autonomous systems. Familiarity with MLOps, model monitoring, and efficient compute practices. Experience working with sparse, noisy, or imperfect real-world data from labs, heavy industry, or other applied environments. Track record of collaborating closely with deployed or client-facing teams to bring advanced methods into operational use. Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. You love applying advanced ML to real-world, high-value physical engineering problems. You're curious about agentic and autonomous approaches and how they can reshape engineering workflows. You're an expert in taking ML solutions from research and modelling through production delivery, with a strong bias toward reusable, high-quality systems. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is £98,000 to £130,000. The starting salary will be determined by job-related knowledge, skills, experience, and the market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results What We Offer In addition to a competitive salary, we offer a variety of benefits to support your needs, including: Family-level Medical Insurance Family-level Dental Insurance Generous Pension Contribution Life Assurance at 4x Salary Critical Illness Cover Employee Assistance Programme Tuition Reimbursement Work culture focused on innovative disruption Benefits may vary by location. Equal Opportunity CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Recruitment Agencies CoreWeave does not accept speculative CVs. Any unsolicited CVs received will be treated as the property of CoreWeave and your Terms and (ii) for the UK, this is the Information Commissioner's Office. For additional information, please see our Privacy Policy.", "summaryDescription" : "Senior Data Scientist at CoreWeave. Skills: Machine learning, Applied AI, Production ML systems, Physical AI. Take end-to-end ownership of complex machine learning problems. Work closely with engineering teams", "postedDate" : "2026-06-11T23:25:06.413", "createdAt" : "2026-06-11T23:25:06.413", "lastUpdated" : "2026-06-14T21:14:47.005", "ingestTimestamp" : "2026-06-11T23:25:06.413", "mongoId" : "6a2ac3cf74d8ee00a06fb9cf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Statistical modelling", "Machine learning experimentation", "Evaluation", "Time-series analysis", "High-dimensional analysis", "Real-world data analysis", "Anomaly detection", "Optimisation", "Reliability modelling", "Agentic systems", "Autonomous systems", "MLOps", "Model monitoring", "Compute practices", "Technical curiosity", "Critical thinking", "Machine learning", "Applied AI", "Production ML systems", "Physical AI", "ML methods", "Production solutions", "Complex physical systems", "Industrial settings", "Engineering workflows", "NumPy", "pandas", "SciPy", "scikit-learn", "PyTorch", "TensorFlow" ], "skillCount" : 31, "jobCategory" : "other", "jobSubcategory" : "monolith-t&i", "dataQualityScore" : 0.8888889, "_score" : 1015.41376, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68c2e41ff8b1b0376634c484", "title" : "Software Development Engineer 2, VIX Cosmos", "company" : "ADCI", "industry" : "Software Development, entertainment", "salary" : { "min" : 2150000.0, "max" : 3200000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Software Development Engineer 2 in Bengaluru, India, adjusted for mid-seniority and the technology industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-14T23:42:14.193", "fingerprint" : "448eb41bc1d46c3b94ef8c10470485574fe2adc6bc54a858535c08564ec7dd96", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078565/apply", "externalId" : "53380a15-76be-43a2-b13d-acbb825453b5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Software development", "professionalSkills" : [ "System design", "Reliability", "Scaling" ], "hardSkillsList" : [ "Software development", "System design", "Architecture" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Software Development, System Design, Mentoring", "majorSkillsList" : [ "Software Development", "System Design", "Mentoring" ], "coreResponsibilities" : "Collaborate with product managers, Collaborate with software engineers, Collaborate with user experience designers, Engage in coding, Mentor junior engineers, Guide junior engineers", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Video Games Industry", "domainList" : [ "video-games-industry" ], "domainSpecificKnowledge" : [ "Video Games Industry" ], "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, 3+ years Video Games Industry experience, Experience programming at least one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Key job responsibilities Key job responsibilities In this position, you will collaborate with product managers, software engineers, user experience designers, and various other teams. A successful candidate will have an established background with strong technical background, exceptional engineering skills, excellent communication abilities, and the drive to achieve results in a fast-paced environment. In this role, you will engage in coding while also mentoring junior engineers, guiding them as they contribute code to the program. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer 2, VIX Cosmos at ADCI. Skills: Software Development, System Design, Mentoring. Collaborate with product managers. 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We are looking for smart, enthusiastic, and passionate individuals to solve complex technical problems and work with engineering and business teams distributed across the globe. Key job responsibilities Your primary responsibilities will involve the design and implementation of highly available, scalable, and fault-tolerant systems at scale. You will leverage new age technologies and real-time analytics and high-volume, low-latency, high-availability services. You will own the delivery of technical changes from a strong roadmap of projects, ranging from developing new self-service workflows for sellers to implementing complex tax calculation and invoicing systems. A day in the life As a Software Development Engineer in the TIE team, you will: - Take the lead on building innovative solutions to address the root causes of tax and invoicing defects - Own technical relationships with business teams and cross-functional partners - Design and implement scalable systems that handle millions of transactions - Collaborate with team members to solve complex problems in tax calculation, invoicing, and compliance - Contribute to the global expansion of our services - Have a strong bias for action, invent and simplify, insist on the highest standards, and deliver results Join us in building the future of tax and invoicing experiences for Amazon's global seller community! About the team The Tax and Invoicing Experience(TIE) team is responsible for building Customer and Seller Experiences (CX and SX) that cater to all invoicing products and the corresponding legislative programs. Vision: Our vision is to build foundational technology capabilities that enable exceptional Customer and Seller Experiences for global invoicing products and corresponding legislative programs. Mission: We are committed to guaranteeing the best possible experience for customers in receiving timely and quality invoices while ensuring the best experience for sellers to remain compliant. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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"intermediate" }, { "name" : "Collaboration tools", "level" : "intermediate" }, { "name" : "Development tools", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Continuous integration", "level" : "intermediate" }, { "name" : "Container technologies", "level" : "intermediate" }, { "name" : "Unix shell scripting", "level" : "intermediate" }, { "name" : "Event driven", "level" : "intermediate" }, { "name" : "Data driven", "level" : "intermediate" }, { "name" : "Cloud-based solutions", "level" : "intermediate" }, { "name" : "Complex algorithms", "level" : "intermediate" }, { "name" : "Timing constraints", "level" : "intermediate" }, { "name" : "System resource", "level" : "intermediate" }, { "name" : "Interface constraints", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Process standards", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Development teams", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "System engineers", "level" : "intermediate" }, { "name" : "Hardware engineers", "level" : "intermediate" }, { "name" : "Software requirements", "level" : "intermediate" }, { "name" : "Project limitations", "level" : "intermediate" }, { "name" : "Performance requirements", "level" : "intermediate" }, { "name" : "Software installation", "level" : "intermediate" }, { "name" : "System monitoring", "level" : "intermediate" } ], "majorSkills" : "Software development, System design, Algorithm development, Containerization", "majorSkillsList" : [ "Software development", "System design", "Algorithm development", "Containerization" ], "coreResponsibilities" : "Design software systems, Develop software systems, Test software systems, Deploy software systems, Document software systems, Maintain software systems, Enhance software systems, Analyze user requirements, Derive software design, Derive performance requirements, Debug existing software, Correct defects, Design new software, Code new software, Modify existing software, Add new features, Write software documentation, Review software documentation, Integrate existing software, Develop simple data queries, Develop relational database applications, Develop non-relational database applications, Develop algorithms, Meet system performance, Meet functional standards, Execute test procedures, Develop software solutions, Analyze system performance, Confer with users, Analyze systems flow, Analyze data usage, Investigate problem areas, Modify existing software, Adapt to new hardware, Improve software performance, Design software systems, Develop software systems, Modify software systems, Use scientific analysis, Use mathematical models, Predict outcomes, Measure consequences, Develop Java applications, Develop J2EE applications, Develop event driven analytics, Develop data driven analytics, Develop cloud-based solutions, Implement cloud technologies, Design complex algorithms, Implement complex algorithms, Adhere to timing constraints, Adhere to resource constraints, Adhere to interface constraints, Perform quality control, Recommend process improvements, Implement process improvements, Oversee software development teams, Ensure work completion, Confer with system engineers, Confer with hardware engineers, Derive software requirements, Obtain project limitations, Obtain system capabilities, Coordinate software installation, Monitor system performance", "teamCollaboration" : "Collaborating with Product Owners; Collaborating with System Engineers; Collaborating with Project Software Engineers; Works individually or as part of a team; Conferring with users; Conferring with system engineers; Conferring with hardware engineers", "projectManagementSkills" : [ "Agile development processes", "Agile", "Scrum", "SAFe" ], "domainKnowledge" : "Data repositories; Data transport services; Processing-intensive analytics; Algorithm development; Large data sets; Real-time systems; Containerized Kubernetes Linux", "domainList" : [ "data-repositories", "data-transport-services", "processing-intensive-analytics", "algorithm-development", "large-data-sets", "real-time-systems", "containerized-kubernetes-linux" ], "domainSpecificKnowledge" : [ "Data repositories", "Data transport services", "Processing-intensive analytics", "Algorithm development", "Large data sets", "Real-time systems", "Containerized Kubernetes Linux" ], "toolProficiency" : [ "Git", "Docker", "Ansible", "GitLab CI", "Jenkins", "Netbox", "HashiCorp Vault", "Keycloak", "PodMan", "containerd", "Eclipse IDE", "Atlassian Tool Suite", "JIRA", "Confluence" ], "communicationSkills" : "Document test results; Write documentation; Review documentation; Confer with users; Confer with system engineers; Confer with hardware engineers", "documentationSkills" : "Document software systems; Document test results; Write software documentation; Review software documentation; Write system documentation; Review system documentation", "innovationCreativity" : "Novel algorithm development", "problemSolvingSkills" : "Resolve software problem reports; Debug existing software; Correct defects; Investigate problem areas; Troubleshoot", "specialRequirements" : "United States Citizenship, Position appropriate security clearance, TS/SCI with polygraph", "qualificationsBasic" : "Master's degree or 7 years experience, 3 years experience as SWE, 5 years experience as SWE, 7 years experience as SWE, Active TS/SCI security clearance, Agency appropriate polygraph", "qualificationsPreferred" : "Master's degree in computer science, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry. The Software Engineer designs, develops, tests, deploys, documents, maintains, and enhances complex and diverse software systems based upon documented requirements. These systems might include, but are not limited to, processing intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, business management information systems, and systems which incorporate data repositories, data transport services, and application and systems development and monitoring. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Open Source Software (OSS) and/or Commercial OffThe-Shelf (COTS) Government Off-The-Shelf (GOTS) software in place of new development, and requirements analysis and synthesis from system level to individual software components. Experience developing in Unix. Ability to perform shell scripting. Working knowledge of Configuration Management (CM) tools and Web Services implementation. The Software Engineer shall be responsible for collaborating with Product Owners, System Engineers, and Project Software Engineers to design, develop, test, troubleshoot, and sustain a mission-focused enterprise web application deployed in a containerized Kubernetes Linux environment. Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph). ## Capabilities Analyze user requirements to derive software design and performance requirements. Debug existing software and correct defects. Design and code new software or modify existing software to add new features. Write or review software and system documentation. Integrate existing software into new or modified systems or operating environments. Develop simple data queries for existing or proposed databases or data repositories. Software development using languages such as C, C++, Python, Ruby, Perl, JavaScript, etc. Has experience with agile development processes. Has experience with source code control systems, such as Git. Serve as team lead at the level appropriate to the software development process being used on any particular project. Design and development of relational and non-relational database applications. Use of orchestration frameworks such as Spring and Kafka. Familiarization with queue management systems Develop or implement algorithms to meet or exceed system performance and functional standards. Develop and execute test procedures for software components. Develop software solutions by analyzing system performance standards and conferring with users or system engineers; analyzing systems flow, data usage and work processes; and investigating problem areas. Modify existing software to adapt to new hardware or to improve its performance. Design, develop, and modify software systems using scientific analysis and mathematical models to predict and measure outcomes and consequences of design decisions. Java development using the Eclipse IDE (Integrated Development Environment). Development of Java 2 Enterprise Edition (J2EE) applications Experience using collaboration and software development tools (ie. Atlassian). Software development using continuous integration practices. Experience with container technologies (ie. Docker). Unix shell scripting Development of event driven, or data driven analytics Development of cloud-based solutions and technologies. Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints. Perform quality control on team products. Recommend and implement suggestions for improving documentation and software development process standards. Oversee one or more software development teams and ensure the work is completed in accordance with the constraints of the software development process being used on any particular project. Confer with system engineers and hardware engineers to derive software requirements and to obtain information on project limitations and capabilities, performance requirements, and interfaces. Coordinate software installation on a system and monitor performance to ensure operational specifications are met. ## Required Qualifications TS/SCI with agency appropriate poly Master’s degree in computer science or related discipline from an accredited college or university, plus three (3) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity. OR Bachelor’s degree in computer science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity OR Seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity. ## Required Technical Skills Experience using the Linux CLI and Linux tools Experience developing Bash scripts to automate manual processes Recent software development experience using Python Familiar with Datacenter Infrastructure Management (DCIM) tools such as Netbox Experience with Secret Management tools such as HashiCorp Vault Familiar with Identity and Access Management (IAM) solutions such as Keycloak Experience with containerization technologies such as Docker, PodMan, containerd Experience with automation frameworks including Ansible for orchestrating deployment Familiar with CI/CD principles, methodologies, and tools such as GitLab CI and Jenkins Experience with Git Source Control System ## Desired Technical Skills Familiar with Observability and Analytics platform solutions such as Splunk Familiar with Agile, Scrum, or Scaled Agile Framework (SAFe) methodologies Experience with the Atlassian Tool Suite (JIRA, Confluence) ## The Benefits Package Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. Additional benefits include: Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs. Full-time employees have the option to participate in a variety of voluntary benefit plans including: A Choice of Medical Plan Options, some with Health Savings Account (HSA) Vision and Dental Life and AD&D Benefits Short and Long-Term Disability Hospital Indemnity, Accident, and Critical Illness Insurances Optional Identity Theft and Legal Protection Services ## Company Environment & Perks Employee Referral Bonus Eligibility up to $10,000 Mobility Among Wyetech-supported Contracts Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. Employees receive two complementary branded clothing orders annually. ## Additional Information Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Affirmative Action Statement: Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans. Accommodations: Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or staffing@wyetech.com. We are happy to provide reasonable accommodations to ensure equal access to all candidates. ", "summaryDescription" : "Software Engineer 2 at Wyetech. Skills: Software development, System design, Algorithm development, Containerization. Design software systems. Develop software systems", "postedDate" : "2026-06-09T14:48:42.745", "createdAt" : "2026-06-09T14:48:42.745", "lastUpdated" : "2026-06-14T22:32:47.468", "ingestTimestamp" : "2026-06-12T07:37:23.181", "mongoId" : "6a2a666774d8ee00a062c89e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 120, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Shell scripting", "Web Services", "Configuration Management", "Agile development", "Source code control", "Database applications", "Orchestration frameworks", "Queue management", "Event driven analytics", "Data driven analytics", "Cloud technologies", "Timing constraints", "Resource constraints", "Interface constraints", "Scientific analysis", "Mathematical models", "Eclipse IDE", "J2EE applications", "Container technologies", "Unix shell scripting", "Data repositories", "Data transport", "Application development", "Systems development", "Systems monitoring", "Problem reports", "Design requirements", 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industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T02:29:27.298", "fingerprint" : "12a11c17bb2ac5991b43cea540b58a48d65b46ef2d92b94a2022e09fc4845f18", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10383315/apply", "externalId" : "cc5d7202-d4ec-4d2b-8acd-8b672fe1d500", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, Spring Boot, Kafka, Redis, Amazon Cloud", "professionalSkills" : [ "System design", "Workflow management", "Automation" ], "hardSkillsList" : [ "Software development", "Architecture design", "System scaling" ], "softSkillsList" : [ "Critical thinking", "Problem-solving", "Mentoring" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Architecture design", "level" : "intermediate" }, { "name" : "System scaling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Problem-solving" }, { "name" : "Mentoring" } ], "majorSkills" : "Software development, System architecture, Automation", "majorSkillsList" : [ "Software development", "System architecture", "Automation" ], "coreResponsibilities" : "Design platform features, Build platform features, Own platform features, Advance the platform, Optimize workflows, Integrate across organizations, Solve technical problems, Develop architecture, Mentor developers, Share the journey, Deliver with quality, Deep dive systems, Develop systems, Deliver systems, Make architecture decisions, Manage business priorities, Drive business decisions, Design software solutions, Implement software solutions, Test software solutions, Deploy software solutions, Maintain software solutions, Drive service optimization, Drive cost optimization, Drive security optimization, Ensure high standard of quality, Write distributed system software", "teamCollaboration" : "Collaborate with stakeholders; Collaborate with internal customers; Collaborate with development teams", "projectManagementSkills" : [ "Agile development" ], "domainKnowledge" : "Finance automation; Workflow management; Distributed systems; Service-oriented architecture; Cloud-native architecture", "domainList" : [ "finance-automation", "workflow-management", "distributed-systems", "service-oriented-architecture", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Finance automation", "Workflow management", "Distributed systems", "Service-oriented architecture", "Cloud-native architecture" ], "innovationCreativity" : "Explore own ideas", "problemSolvingSkills" : "Analytical skills; Critical thinking; Problem-solving skills", "qualificationsBasic" : "3+ years professional software development, 2+ years system design/architecture, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Interested in building the next generation of operational platforms that power complex workflows across thousands of internal and external users? Interested in designing highly scalable systems that leverage the full power of Amazon Cloud? Massive data volume + complex business rules in a highly distributed and service-oriented architecture = a world-class automation and workflow management challenge. We are looking for a talented and self-driven individual to join our team. In this role, you will design, build, and own features that advance our platform — from intelligent automation and workflow optimization to cross-org integrations. You will operate with a high degree of autonomy, taking end-to-end ownership of complex technical problems while collaborating with a small, high-performing team. The ideal candidate will draw upon exemplary analytical, critical thinking, and problem-solving skills, deep software development experience, and a passion for creating maintainable, highly reliable, and scalable systems accessed by thousands of internal customers and cross-functional stakeholders. Successful members of this team collaborate effectively with internal customers and dependent development teams across Amazon to deliver new capabilities against high operational standards of system availability and reliability. In the space of workflow management and automation tools, engineers on this team solve problems for the first time and have the opportunity to convert solutions into generic, reusable components for the broader engineering community. We look for engineers who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun. This candidate also plays an active role in reviewing technical designs from the team and in mentoring other developers. You will have the opportunity to play a key role in building new software products and features from the ground up. Your work will allow you to utilize a melting pot of technologies, programming languages, and systems — and require you to keep up with the ever-changing technological landscape. Your responsibilities will include all aspects of software development, with the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit Amazon worldwide. Our team is looking for a talented software development engineer who can tackle large, complex projects and drive meaningful impact at scale. Key job responsibilities · Working collaboratively, shape the vision and strategy for solving business problems spread across retail and other cross systems outside of retail · Develop an architecture, thinking long term about futuristic needs. · Mentor, grow, and share the journey to deliver with quality. · Deep dive, develop and deliver systems that are highly maintainable. Technical leader for the team with the ability to deliver against all odds. · Data driven approach for making right architecture decisions, managing business priorities A day in the life As a software development engineer on this team, you will play a pivotal role in the following: - Work with the team and stakeholders to help drive business decisions. - Design, implement, test, deploy, and maintain innovative software solutions to drive service optimization, cost, and security. - Use software engineering best practices to ensure a high standard of quality for all of the team deliverables - Write high-quality distributed system software - Work in an agile, startup-like development environment, where you are always working on the most important stuff. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer 2, Finance Automation at ADCI HYD 13 SEZ. Skills: Software development, System architecture, Automation. Design platform features. Build platform features", "postedDate" : "2026-06-13T04:59:11.669", "createdAt" : "2026-06-13T04:59:11.669", "lastUpdated" : "2026-06-15T02:29:27.298", "ingestTimestamp" : "2026-06-13T04:59:11.669", "mongoId" : "69d140072beec4dd3ddbe3fc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10383315/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "Architecture design", "System scaling", "Critical thinking", "Problem-solving", "Mentoring", "System architecture", "Automation", "System design", "Workflow management", "Agile development", "Finance automation", "Distributed systems", "Service-oriented architecture", "Cloud-native architecture" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 993.96265, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a46bf74d8ee00a05d6bd9", "title" : "Python Software Engineer", "company" : "3Pillar", "industry" : "Product Delivery", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Python Software Engineer in the Technology industry, adjusted for remote work and contract employment type." }, "location" : "Costa Rica", "locations" : [ "Costa Rica" ], "timestamp" : "2026-06-14T22:51:18.219", "fingerprint" : "d231a39e9a6f5c900f7575864834706fa17f8213dd75935fef4548b6ce31abd4", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/3pillarglobal/72cf6db6-8c5a-4f99-a797-1f21ac3c0330/apply", "externalId" : "72cf6db6-8c5a-4f99-a797-1f21ac3c0330", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "experienceMinYears" : 4, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, REST API, SQL, Git, Github, Gitlab, HTTP, JSON, XML, Object-Oriented Programming", "professionalSkills" : [ "Software systems", "Agile software development", "Product Development" ], "hardSkillsList" : [ "Software engineering", "System design", "UML", "C4", "ArchiMate" ], "hardSkills" : [ { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "UML", "level" : "intermediate" }, { "name" : "C4", "level" : "intermediate" }, { "name" : "ArchiMate", "level" : "intermediate" } ], "majorSkills" : "Python, REST API, SQL, Software Engineering", "majorSkillsList" : [ "Python", "REST API", "SQL", "Software Engineering" ], "coreResponsibilities" : "Craft client code, Ensure code security, Drive remediation, Provide status tracking, Gather requirements, Validate requirements understanding, Create documentation, Maintain documentation, Execute activities, Uphold quality standards, Foster collaboration, Comprehend user pain points, Iterate on solutions, Take ownership of projects, Design technical solutions, Participate in code reviews, Maintain code quality, Maintain code consistency", "teamCollaboration" : "Fellow engineers; Designers; Managers", "projectManagementSkills" : [ "Agile software development" ], "domainKnowledge" : "AI transformation; Enterprise AI; Agentic transformation; Software Development Life Cycle", "domainList" : [ "ai-transformation", "enterprise-ai", "agentic-transformation", "software-development-life-cycle" ], "domainSpecificKnowledge" : [ "AI transformation", "Enterprise AI", "Agentic transformation", "Software Development Life Cycle" ], "toolProficiency" : [ "Git", "Github", "Gitlab", "Pytest", "UV", "Conda", "Claude Code", "Copilot", "Cursor" ], "communicationSkills" : "English language", "documentationSkills" : "Create documentation; Maintain documentation", "innovationCreativity" : "Build AI-native products; Build intelligent agents; Create epic solutions", "problemSolvingSkills" : "Triage issues; Prioritize issues; Verify issues", "outcomesObjectives" : "Drive client success", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description 3Pillar is an AI transformation partner on a mission to help enterprises build the AI-native products and intelligent agents that will define the next era of business. With teams across North America, Europe, Latin America, and Asia, we work with the most ambitious companies in financial services, healthcare, media, and technology — helping them move faster, modernize boldly, and compete on their own terms. Our HelixAI platform and Helix Pods delivery model put our engineers at the center of real agentic transformation — doing work that is open, portable, and built to last. We are building the future of enterprise AI. \uD83D\uDC4B Greetings, future tech savant: Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. At 3Pillar, our focus is on crafting cutting-edge technologies that revolutionize industries. As a Software Engineer, you'll play a vital role in our dynamic team, contributing to exciting projects that redefine urban living, establish new media channels for enterprise companies, or drive innovation in healthcare. This opportunity goes beyond code – it's about creating epic solutions that leave a lasting impression in the market. If your passion for programming fuels your drive to make a real-world impact, consider this your pass to the captivating world of Product Development! \uD83D\uDE80\uD83D\uDCBB ## Key Responsibilities Craft client code that is not just efficient but also performant, testable, scalable, secure, and of the highest quality. Ensure code is secure through Software Composition Analysis (SCA), and drive remediation through triaging, prioritization, remediation and verification. Provide accurate status tracking, reporting, and estimation using project methods and tools. Gather requirements, validate their understanding amongst the team, and create and maintain relevant documentation. Execute activities within the current methodology and uphold the highest quality standards. Foster collaboration with fellow engineers, designers, and managers to comprehend user pain points and iterate on solutions that drive client success. Take ownership of projects, from technical design to a successful launch. Participating in code reviews to maintain code quality and consistency. ## Minimum Qualifications Demonstrated expertise with at least 4+ years of experience in Python, REST API and SQL Expertise with Git source control tools (Github, Gitlab or others) Experience with unit testing (Pytest). Intermediate level design proficiency following UML / C4 / ArchiMate. Experience in engineering software systems of medium-to-large scope and complexity. Familiarity with Agile software development methodologies. Proficiency with relational databases. Experience in building frontend/backend applications at scale. Proficiency in the English language. ## Additional Experience Desired Knowledge of Python web frameworks (Flask or others) Knowledge of workflow orchestration platforms (Apache Airflow, Automic Automation or others) Knowledge of Python package management (UV, Conda or others) Knowledge of protocols like HTTP, and serialization formats like JSON and XML. Knowledge of SCA platforms (Github Advanced Security, Snyk, Checkmarx or others) Understanding of AI coding agents (Claude Code, Copilot, Cursor or others) Understanding of Software Development Life Cycle (SDLC). Proficiency in Object-Oriented Programming (inheritance, polymorphism, classes, instances, properties). ## What is it like working for 3Pillar Global? At 3Pillar, we offer a world of opportunity: Imagine a flexible work environment – whether it's the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach. You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams. We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best. Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries. We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally. Join us and be a part of a global tech community! \uD83C\uDF0D\uD83D\uDCBC Check out our Linkedin site and Careers page to learn more about what it’s like to be part of our #oneteam!", "summaryDescription" : "Python Software Engineer at 3Pillar. Skills: Python, REST API, SQL, Software Engineering. Craft client code. Ensure code security", "postedDate" : "2026-06-10T21:06:43.928", "createdAt" : "2026-06-10T21:06:43.928", "lastUpdated" : "2026-06-14T22:51:18.219", "ingestTimestamp" : "2026-06-12T05:53:17.079", "mongoId" : "6a2a46bf74d8ee00a05d6bd9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software engineering", "System design", "UML", "C4", "ArchiMate", "Python", "REST API", "SQL", "Software Engineering", "Software systems", "Agile software development", "Product Development", "AI transformation", "Enterprise AI", "Agentic transformation", "Software Development Life Cycle", "Git", "Github", "Gitlab", "Pytest", "UV", "Conda", "Claude Code", "Copilot", "Cursor" ], "skillCount" : 25, "jobCategory" : "product", "dataQualityScore" : 1.0, "_score" : 985.7864, "daysOld" : 4, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a687d74d8ee00a06345ae", "title" : "Data Scientist", "company" : "Focal Systems", "industry" : "retail AI", "salary" : { "min" : 60000.0, "max" : 70000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-14T21:25:53.046", "fingerprint" : "b0cf0e9e42a446431ef9471e751ac8b51465354b77514c39a1b2992cf6d599fe", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/focalsystems/jobs/6016008004", "externalId" : "6016008004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United Kingdom", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, pandas, NumPy, statsmodels", "professionalSkills" : [ "Applied statistics", "Experimentation", "Machine learning", "Causality", "Product development", "Operations management" ], "hardSkillsList" : [ "Statistical methods", "Predictive modeling", "Inferential modeling", "A/B testing", "Data visualization", "BI tools", "Code review", "Methodology review" ], "softSkillsList" : [ "Rigorous thinker", "Mentorship" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Inferential modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "BI tools", "level" : "intermediate" }, { "name" : "Code review", "level" : "intermediate" }, { "name" : "Methodology review", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Rigorous thinker" }, { "name" : "Mentorship" } ], "majorSkills" : "Applied statistics, Experimentation, Machine learning, Data modeling", "majorSkillsList" : [ "Applied statistics", "Experimentation", "Machine learning", "Data modeling" ], "coreResponsibilities" : "Own analytical problems end to end, Frame problems and define metrics, Acquire data, Build predictive models, Build inferential models, Develop statistical methods, Develop reusable analyses, Measure performance, Partner with Product, Engineering, and Operations, Define key metrics, Implement new features, Translate business questions into analytical work, Audit system outputs, Provide structured feedback, Communicate findings through dashboards, Communicate findings through written analyses, Communicate findings through stakeholder presentations, Help define best practices, Contribute to team's data contracts, Contribute to team's SOPs", "teamCollaboration" : "Cross-functional stakeholders; Product; Engineering; Operations", "projectManagementSkills" : [ "Problem framing", "Metric definition", "Data acquisition", "Modeling", "Validation", "Stakeholder rollout", "Breaking down problems" ], "domainKnowledge" : "Retail AI; Deep Learning; Computer vision", "domainList" : [ "retail-ai", "deep-learning", "computer-vision" ], "domainSpecificKnowledge" : [ "Retail AI", "Deep Learning", "Computer vision" ], "toolProficiency" : [ "pandas", "NumPy", "statsmodels", "Sigma", "Looker" ], "communicationSkills" : "Clear story; Crisp communication; Written analyses; Stakeholder presentations", "continuousLearning" : "Learning and Development Budget", "innovationCreativity" : "Creative people", "problemSolvingSkills" : "Rigorous thinker; Ambiguous problems; Open-ended questions; Data-driven decisions", "outcomesObjectives" : "Drive measurable improvements; Influence product roadmap; Improve product accuracy; Improve product reliability; Lead to concrete decisions", "qualificationsBasic" : "5+ years of experience, Proficiency in SQL, Proficiency in Python, Solid grounding in applied statistics, Experience designing and analyzing A tests, Experience building predictive models, Experience with data visualization and BI tools, Excellent written and verbal communication", "qualificationsPreferred" : "Experience with Snowflake, Experience with Sigma, Looker, Database engineering/architecture background, Background in retail, Experience mentoring analysts", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Type: Full-time, salaried employment Location: Remote in the UK only. Salary Range: £60,000 to £70,000 + stock options Focal Systems is the industry leader in retail AI solutions. We are headquartered in San Francisco, California with operations in Canada and the UK, and a tech-hub in Poland. We are a Deep Learning first company. Our mission is to automate and optimize brick and mortar retail using deep learning computer vision. Focal Systems has been deployed at scale with some of the top retailers in the world. We seek smart, creative and passionate people who want to help build a great and enduring company and deploy Deep Learning to the world! About the Role As a Senior Data Scientist on our Analytics team, you will own end-to-end problems that combine applied statistics, experimentation, and machine learning to drive measurable improvements in how our retail AI products perform in the real world. You will work on ambiguous, open-ended questions, define the right approach, and deliver insights and models that influence the roadmap of Product, Engineering, and Operations. This is a senior individual contributor role. You will set the technical direction for your projects, partner with cross-functional stakeholders, and act as a force multiplier for analytics quality across the company. What We Are Looking For You are a rigorous thinker who treats data as evidence, not decoration, and is comfortable telling a clear story about uncertainty You have strong technical chops in SQL and Python, and you reach for the right tool, statistical, experimental, or ML, based on the problem in front of you You can design experiments, reason about causality, and identify when a correlation is enough and when it is not You are comfortable owning ambiguous, open-ended problems and breaking them down into a credible plan You communicate findings crisply to technical and non-technical audiences, in writing, in dashboards, and in person You raise the bar for the team through code review, methodology review, and mentorship of less senior analysts and scientists What You Will Be Doing Own analytical problems end to end from problem framing and metric definition through data acquisition, modeling, validation, and stakeholder rollout Build predictive and inferential models such as forecasts, propensity and uplift models, and survival or duration analyses, where they meaningfully improve a product or operational decision Develop statistical methods and reusable analyses for measuring performance, including detection accuracy, intervention impact, and downstream operational outcomes Partner with Product, Engineering, and Operations to define key metrics, implement new features, and translate business questions into well-scoped analytical work Audit system outputs and provide structured feedback that improves product accuracy and reliability Communicate findings through dashboards, written analyses, and stakeholder presentations that lead to concrete decisions Help define best practices around data quality, experimentation, modeling, and reproducibility, and contribute to the team’s data contracts and SOPs Requirements 5+ years of experience as a Data Scientist, Quantitative Analyst, or similar role, with a track record of shipping analyses and models that changed product or business decisions Strong proficiency in SQL, including complex CTEs, window functions, and query optimization Strong proficiency in Python for data work, including pandas, NumPy, and experience with statsmodels or other relevant tools Solid grounding in applied statistics: hypothesis testing, regression, experimental design, and uncertainty quantification Experience designing and analyzing A/B tests or other controlled experiments in a product setting Experience building at least one class of predictive model end to end, for example forecasting, classification, or propensity modeling Experience with data visualization and BI tools, and the ability to turn an analysis into a clear narrative Excellent written and verbal communication, with the ability to influence cross-functional partners without authority Ability to work independently, manage multiple priorities, and drive ambiguous projects to completion Nice to Have Experience with Snowflake or a comparable cloud data warehouse Experience with Sigma, Looker, or similar BI tools Experience with database engineering/architecture Background in retail, logistics, marketplaces, or other operationally complex environments Experience mentoring analysts or junior data scientists Why Focal Systems Strong Values and Mission - We are a tightly-knit team with an ambitious mission and a strong set of core values, which define our approach to business and have successfully guided us since inception. Exceptional Team - We are a team of hard-working, fun-loving professionals from some of the most eminent universities, research labs, and tech companies of our time. We pride ourselves on recruiting exceptional individuals to help us redefine the state-of-the-art. Outstanding Partners - We work with 10+ of the largest retailers in the world and have a world-class roster of investors, advisors and partners to support & advise us in our endeavors. What we offer We care deeply about the health, happiness, and wellbeing of all of our employees. We offer: Competitive Salary & Attractive Stock Generous Paid Time Off Pension Sick Leave Parental Leave Learning and Development Budget", "summaryDescription" : "Data Scientist at Focal Systems. Skills: Applied statistics, Experimentation, Machine learning, Data modeling. Own analytical problems end to end. Frame problems and define metrics", "postedDate" : "2026-06-11T20:44:56.978", "createdAt" : "2026-06-11T20:44:56.978", "lastUpdated" : "2026-06-14T21:25:53.046", "ingestTimestamp" : "2026-06-11T20:44:56.978", "mongoId" : "6a2a687d74d8ee00a06345ae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Predictive modeling", "Inferential modeling", "A/B testing", "Data visualization", "BI tools", "Code review", "Methodology review", "Rigorous thinker", "Mentorship", "Applied statistics", "Experimentation", "Machine learning", "Data modeling", "Causality", "Product development", "Operations management", "Problem framing", "Metric definition", "Data acquisition", "Modeling", "Validation", "Stakeholder rollout", "Breaking down problems", "Retail AI", "Deep Learning", "Computer vision", "pandas", "NumPy", "statsmodels", "Sigma", "Looker" ], "skillCount" : 32, "jobCategory" : "customer-service", "jobSubcategory" : "customer-support-and-analytics", "dataQualityScore" : 1.0, "_score" : 962.70404, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "retail AI" }, { "id" : "6a25146674d8ee00a00bb834", "title" : "Software Development Engineer, ElastiCache", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 143700.0, "max" : 194400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:01:29.827", "fingerprint" : "1ee74e725275b83d0f1f838a236b3d7f88908f7bd286264468bee4e3339c3e43", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10440033/apply", "externalId" : "20282b63-96b5-4b82-b5e6-5670109029c7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Java, C/C++, Redis, Memcached, HTTP, REST, NoSQL", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Distributed systems", "Database internals", "Cloud-scale infrastructure", "CAP theorem", "Consistent hashing", "Raft", "Paxos", "Gossip protocols", "NoSQL systems", "In-memory database", "Failure detection", "Auto-remediation", "Horizontal scaling", "Vertical scaling", "Fault tolerance", "Backup and restore", "Disaster recovery", "High availability", "Durability", "Scalability", "Low-latency", "High-throughput" ], "softSkillsList" : [ "Mentoring", "Technical leadership" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Database internals", "level" : "intermediate" }, { "name" : "Cloud-scale infrastructure", "level" : "intermediate" }, { "name" : "CAP theorem", "level" : "intermediate" }, { "name" : "Consistent hashing", "level" : "intermediate" }, { "name" : "Raft", "level" : "intermediate" }, { "name" : "Paxos", "level" : "intermediate" }, { "name" : "Gossip protocols", "level" : "intermediate" }, { "name" : "NoSQL systems", "level" : "intermediate" }, { "name" : "In-memory database", "level" : "intermediate" }, { "name" : "Failure detection", "level" : "intermediate" }, { "name" : "Auto-remediation", "level" : "intermediate" }, { "name" : "Horizontal scaling", "level" : "intermediate" }, { "name" : "Vertical scaling", "level" : "intermediate" }, { "name" : "Fault tolerance", "level" : "intermediate" }, { "name" : "Backup and restore", "level" : "intermediate" }, { "name" : "Disaster recovery", "level" : "intermediate" }, { "name" : "High availability", "level" : "intermediate" }, { "name" : "Durability", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Low-latency", "level" : "intermediate" }, { "name" : "High-throughput", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Technical leadership" } ], "majorSkills" : "Distributed systems, In-memory datastore, NoSQL database", "majorSkillsList" : [ "Distributed systems", "In-memory datastore", "NoSQL database" ], "coreResponsibilities" : "Design next-generation database platform, Build next-generation database platform, Lead software development, Develop HTTP/REST services, Develop asynchronous messaging systems, Develop event-driven architectures, Build failure detection systems, Build auto-remediation systems, Drive horizontal scaling, Drive vertical scaling, Drive management plane workflows, Drive monitoring plane workflows, Drive fault tolerance mechanisms, Drive backup technologies, Drive restore technologies, Contribute to disaster recovery, Contribute to prevention strategies, Mentor junior engineers, Manage project priorities, Manage project deadlines, Manage project deliverables", "teamCollaboration" : "Peer engineers; Monitoring plane; Operations team; Product teams; Customer service teams", "projectManagementSkills" : [ "Project priorities", "Project deadlines", "Project deliverables" ], "domainKnowledge" : "Distributed systems; Database internals; Cloud-scale infrastructure; CAP theorem; Consistent hashing; Raft; Paxos; Gossip protocols; NoSQL systems; In-memory database; High availability; Durability; Scalability; Low-latency; High-throughput", "domainList" : [ "distributed-systems", "database-internals", "cloud-scale-infrastructure", "cap-theorem", "consistent-hashing", "raft", "paxos", "gossip-protocols", "nosql-systems", "in-memory-database", "high-availability", "durability", "scalability", "low-latency", "high-throughput" ], "domainSpecificKnowledge" : [ "Distributed systems", "Database internals", "Cloud-scale infrastructure", "CAP theorem", "Consistent hashing", "Raft", "Paxos", "Gossip protocols", "NoSQL systems", "In-memory database", "High availability", "Durability", "Scalability", "Low-latency", "High-throughput" ], "toolProficiency" : [ "Dynamo", "ElastiCache", "AWS" ], "continuousLearning" : "Mentorship programme; Knowledge sharing", "innovationCreativity" : "Pushing boundaries", "problemSolvingSkills" : "Root cause analysis; Debugging complex systems; Analyze failure patterns", "specialRequirements" : "On-call rotations", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, 1+ years large-scale distributed applications experience, 1+ years Object Oriented Design experience, Bachelor's degree or foreign equivalent, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This is an opportunity to join one of AWS's most foundational and high-impact engineering teams — the In-Memory datastore team, part of Amazon ElastiCache. We build the next-generation, high-performance in-memory distributed data storage platform that powers some of the world's most demanding real-time applications. Our work sits at the intersection of distributed systems, database internals, and cloud-scale infrastructure, and it directly shapes how millions of AWS customers build low-latency, high-throughput applications. If you've ever found yourself deep in a conversation about CAP theorem, consistent hashing, Raft, Paxos, or gossip protocols — and you want to apply those ideas to real-world systems at massive scale — this team is where you belong. We are the engineers behind the acclaimed Amazon Dynamo paper, and we continue to push the boundaries of what NoSQL systems can do. We're not just building a cache; we're building a durable, highly available, and scalable in-memory database platform that bridges the best of RDBMS and NoSQL worlds. Key job responsibilities As a Software Development Engineer on this team, you will take on broad ownership across the full lifecycle of our platform. Your core responsibilities will include: - Designing and building the next-generation in-memory NoSQL database platform, enabling developers to create highly available, scalable, and high-performance applications at unprecedented scale. - Leading software development of large-scale distributed in-memory storage systems, primarily in Java and C/C++, leveraging open-source technologies such as Redis and Memcached alongside Amazon-proprietary technologies. - Developing and operating HTTP/REST services, asynchronous messaging systems, and event-driven architectures that form the backbone of our platform. - Building and improving real-time failure detection and auto-remediation systems capable of detecting node failures in large distributed clusters and initiating recovery within seconds. - Driving horizontal and vertical scaling capabilities, management and monitoring plane workflows, fault tolerance mechanisms, and backup and restore technologies. - Contributing to disaster recovery and prevention strategies to ensure the highest levels of availability and durability for our customers. - Mentoring and growing junior engineers on the team, serving as a technical leader and role model for engineering best practices. - Managing individual project priorities, deadlines, and deliverables with a high degree of autonomy and accountability. A day in the life Day-to-day, you can expect a dynamic mix of deep technical work and collaborative engineering. A typical week might look like: Writing and reviewing production-quality code in Java or C/C++ for distributed storage components, scaling systems for monitoring plane owned services. Participating in design reviews and architecture discussions, where you'll debate tradeoffs around consistency, availability, and partition tolerance — and then go build the solution. Collaborating with peer engineers across the team to debug complex distributed systems issues, analyze failure patterns, and drive root cause analysis. Working closely with the monitoring plane and operations team to improve observability, tune auto-remediation workflows, and reduce mean time to recovery. Engaging with product and customer service teams to understand real-world use cases — from IoT and mobile applications to large-scale analytics — and translating those needs into platform capabilities. Mentoring junior engineers through code reviews, design feedback, and pairing sessions, helping them grow their technical skills and Amazon engineering judgment. Contributing to the team's operational excellence by participating in on-call rotations and driving improvements to system reliability and operational tooling. About the team The In-Memory Storage Platform team is a passionate group of engineers who thrive on solving hard distributed systems problems. We are a collaborative, intellectually curious team that values technical depth, ownership, and a bias for action. Our charter is Amazon ElastiCache — an AWS service that enables customers to deploy, manage, and massively scale in-memory distributed data stores using open-source technologies like Redis and Memcached. Our customers include some of the world's fastest-growing startups and enterprises, all relying on ElastiCache to build ultra-low-latency, high-throughput data layers. We are deeply invested in open-source software and actively contribute to the broader NoSQL ecosystem. As a team, we believe in growing together — senior engineers are directly involved in mentoring and developing junior engineers, and we take pride in building a culture of technical excellence and continuous learning. About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually", "summaryDescription" : "Software Development Engineer, ElastiCache at Amazon Development Center U.S., Inc.. Skills: Distributed systems, In-memory datastore, NoSQL database. Design next-generation database platform. 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Balance scientific rigor with business impact, Balance scientific rigor with operational constraints, Mentor science team, Raise bar for science team, Conduct design reviews, Discuss papers, Establish best practices for experimentation, Establish best practices for reproducibility, Influence cross-functional strategy, Partner with engineering, Partner with product, Partner with leadership, Define product vision, Publish state of the art, Advance state of the art, Contribute to ML community, File patents, Submit publications, Engage at conferences, Solve real-world problems, Analyze large amounts of data, Generate insights, Generate opportunities, Execute experiments, Develop statistical models, Develop ML models, Innovate on behalf of customer, Build features strategically, Mentor junior members, Help junior members grow", "teamCollaboration" : "Partnering with engineering; Partnering with product; Partnering with leadership; Collaboration with other Scientists; Collaboration with 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: "Translate ambiguous business problems; Analyze model behavior; Solve real-world problems", "qualificationsBasic" : "3+ years ML models business application, Master's degree and 6+ years applied research, Programming in Java, C++, Python, Experience neural deep learning methods, Experience machine learning", "qualificationsPreferred" : "Experience with modeling tools, Experience with large scale distributed systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you a scientist passionate about advancing Information Retrieval, NLP, and Large Language Models? Do you want access to massive datasets, world-class compute, and a team of top scientists and engineers building the future of e-commerce? If so, you'll be a great fit for our team at Amazon. We build large-scale ML solutions that deliver personalized, up-to-date recommendations to millions of customers. Our team is uniquely positioned to shape how customers think about their shopping journey. We're looking for scientists with deep LLM expertise to build our next generation of models. The team focuses on post-training—instruction tuning, reward modeling, reinforcement learning, and multi-modal alignment. You'll design and run large-scale experiments, analyze model behavior, and develop training recipes that improve core capabilities like reasoning, personalization, and other frontier paradigms. Key job responsibilities - Own the scientific roadmap for personalization initiatives, identifying high-impact research directions and translating ambiguous business problems into well-defined ML formulations - Design and lead end-to-end systems spanning recommendations, information retrieval, and LLM fine-tuning, from problem framing through offline experimentation to production A/B testing and launch - Drive technical decisions on model architecture, training methodology, and evaluation frameworks, balancing scientific rigor with business impact and operational constraints - Mentor and raise the bar for the science team through design reviews, paper discussions, and establishing best practices for experimentation and reproducibility - Influence cross-functional strategy by partnering with engineering, product, and leadership to define the product vision informed by what's technically feasible and scientifically novel - Publish and advance the state of the art — contribute to the broader ML community through patents, publications, and external engagement at conferences A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, execute experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the organization. You get to influence stakeholders with clear communication skills. You innovate on behalf of the customer and strategically build features. You will mentor junior members and help them grow. About the team The team values innovations and offers a safe place to try, fail and learn while fostering a culture of continuous improvement. Everyone is a leader and owner for everything we do as a team. Our team offers creative space with entrepreneurial work environment focusing on customer obsession. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Sr. Applied Scientist, C360 at Amazon.com Services LLC. Skills: Large Language Models, ML solutions, Information Retrieval, NLP. Own scientific roadmap for personalization. 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AI/ML practitioners; Applied scientists; Software engineers; Solution architects", "domainKnowledge" : "Generative AI; Foundation models; Natural language technology; Speech technology; Vision technology; Text technology; Image technology; Structured data", "domainList" : [ "generative-ai", "foundation-models", "natural-language-technology", "speech-technology", "vision-technology", "text-technology", "image-technology", "structured-data" ], "domainSpecificKnowledge" : [ "Generative AI", "Foundation models", "Natural language technology", "Speech technology", "Vision technology", "Text technology", "Image technology", "Structured data" ], "toolProficiency" : [ "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "continuousLearning" : "Learning experiences; Knowledge-sharing; Mentorship", "innovationCreativity" : "Inventive; Novel algorithms; Innovative algorithms; Cutting-edge AI solutions; Groundbreaking technologies", "problemSolvingSkills" : "Research; Problem solving", "outcomesObjectives" : "Impact millions of customers; Advance the state-of-the-art", "qualificationsBasic" : "3+ years building ML models, PhD or Master's degree, 6+ years applied research experience, Experience programming Java, C++, Python, Experience with neural deep learning methods, Experience with machine learning", "qualificationsPreferred" : "Experience with modeling tools R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Experience with large scale distributed systems Hadoop, Spark", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong machine learning background to help build industry-leading technology in language, generative AI and foundational models. As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in natural language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning and foundation models. More specifically, you will have the opportunity to impact millions of our customers by researching and building innovative algorithms that can optimize the inference engine of foundation models. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. Key job responsibilities A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist III, Amazon AWS Agentic AI at Amazon Development Center U.S., Inc.. Skills: Machine Learning, Generative AI, Foundation Models, Agentic AI. Build industry-leading technology. 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Our goal is to leverage AI/ML solutions to enhance catalogue coverage with high precision. In this role, you will lead the research and development of novel machine learning approaches to solve complex catalogue expansion and product attribute challenges. You lead the design and develop state-of-the-art ML models, conduct rigorous experimentation, translate scientific breakthroughs into production-ready solutions, and guide a set of junior scientists. You will work closely with ML Engineers and Software Development Engineers to optimize model performance, ensure scalability, and deploy low-latency solutions at Amazon scale. Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Santa Clara - 192,200.00 - 260,000.00 USD annually USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Senior Applied Scientist, Shopping Convo Foundations - Pre-purchases Science at Amazon.com Services LLC. Skills: Artificial Intelligence, Machine Learning, ML models. Lead research and development. Develop novel ML approaches", "postedDate" : "2026-06-13T10:31:59.095", "createdAt" : "2026-06-13T10:31:59.095", "lastUpdated" : "2026-06-15T05:13:11.168", "ingestTimestamp" : "2026-06-13T10:31:59.095", "mongoId" : "6a15eed958b93c861e805ea4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412895/apply", "salaryAnnualMin" : 167100, "salaryAnnualMax" : 226100, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Machine learning", "Deep learning", "Model development", "Experimentation", "Artificial Intelligence", "Machine Learning", "ML models", "Applied research", "Catalogue expansion", "Product attribute challenges", "Shopping catalogue", "Product attributes", "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "skillCount" : 21, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 938.50916, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68e0a7e4ce260f92cbf8eb91", "title" : "Senior Applied Scientist, Ring & Blink AI", "company" : "Amazon Development Centre Canada ULC", "industry" : "Machine Learning Science, Applied Science, alexa and amazon devices", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Applied Scientist in Toronto, Canada, adjusted for Amazon's size and industry." }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T03:59:37.560", "fingerprint" : "4795ccfcadc3bc3576c42dfdb5ece4674427c13b9c2a000b159e71cd98c0688a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099437/apply", "externalId" : "fc852a0c-a238-4dba-ab1c-2431b327d3c1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop, Spark", "professionalSkills" : [ "Computer vision", "Machine learning", "AI algorithms", "Data analysis", "Model development", "Model validation", "Scientific innovation" ], "hardSkillsList" : [ "Deep learning", "Machine learning", "Computer vision" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Computer vision", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Computer vision, Machine learning, AI", "majorSkillsList" : [ "Computer vision", "Machine learning", "AI" ], "coreResponsibilities" : "Research computer vision methods, Implement computer vision methods, Research machine learning methods, Implement machine learning methods, Establish automated processes for data analysis, Establish automated processes for ML model development, Establish automated processes for model validation, Establish automated processes for gap analysis, Provide technical leadership, Research machine learning approaches, Mentor junior scientists", "teamCollaboration" : "Collaborative environment; Cross-functional teams", "domainKnowledge" : "Computer vision; Machine learning; AI", "domainList" : [ "computer-vision", "machine-learning", "ai" ], "domainSpecificKnowledge" : [ "Computer vision", "Machine learning", "AI" ], "toolProficiency" : [ "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "communicationSkills" : "Verbal communications; Writing", "innovationCreativity" : "Pioneer and innovate in AI; Creating novel algorithms; Advancing state-of-the-art", "outcomesObjectives" : "Deliver high-quality artifacts; Meet product specifications; Drive continued scientific innovation; Enhance lives of millions", "qualificationsBasic" : "3+ years building ML models, Master's degree and 6+ years applied research, Programming in Java, C++, Python, Experience with neural deep learning methods", "qualificationsPreferred" : "Modeling tools experience, Large scale distributed systems experience, Prototyping, designing, implementing, deploying CV apps, Developing optimized CV/ML algorithms, Juggling multiple priorities, Dealing with ambiguities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through innovation. You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists, engineers, product managers and other experts to develop industry-leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await! Key job responsibilities - Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis. - Provide technical leadership and research new machine learning approaches to drive continued scientific innovation. - Work in a collaborative environment with other scientists, engineers, product managers and cross-functional teams. - Mentor and develop junior scientists on the team Basic Qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - Proven track record of innovation in creating novel algorithms and advancing the state-of-the-art - Experience in prototyping, designing, implementing and deploying large-scale computer vision applications and tools - Experience in developing highly-optimized CV and ML algorithms on resource-constrained platforms - Ability to juggle multiple priorities and dealing with ambiguities - Exceptional writing and verbal communications skills Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Applied Scientist, Ring & Blink AI at Amazon Development Centre Canada ULC. Skills: Computer vision, Machine learning, AI. Research computer vision methods. Implement computer vision methods", "postedDate" : "2026-06-13T09:15:12.513", "createdAt" : "2026-06-13T09:15:12.513", "lastUpdated" : "2026-06-15T03:59:37.560", "ingestTimestamp" : "2026-06-13T09:15:12.513", "mongoId" : "68e0a7e4ce260f92cbf8eb91", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099437/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Deep learning", "Machine learning", "Computer vision", "Leadership", "Mentoring", "AI", "AI algorithms", "Data analysis", "Model development", "Model validation", "Scientific innovation", "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "skillCount" : 20, "jobCategory" : "data", "dataQualityScore" : 1.0, "_score" : 937.59393, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68b706987fc9a711f0f6facd", "title" : "Applied Scientist III, Relationship Data Services", "company" : "Amazon.com Services LLC", "industry" : "Software Development, Applied Science, ecp", "salary" : { "min" : 150400.0, "max" : 260000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T05:01:22.697", "fingerprint" : "42116081344806772023b7ef7b616d1752854e469de1f39273c4ccd6163cb8e2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051072/apply", "externalId" : "98477c6a-46b0-43d2-9e95-086f7f8a6ab4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, C++, Python, R, Spark, MLlib, MxNet, Tensorflow, Numpy, Scipy, Hadoop", "professionalSkills" : [ "Quantitative modeling", "Optimization methods", "Statistical methods", "Machine learning methods", "Decision making" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data mining", "Generative AI", "Advanced analytics" ], "softSkillsList" : [ "Attention to detail", "Ambiguity", "Fast-paced environment" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Advanced analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Attention to detail" }, { "name" : "Ambiguity" }, { "name" : "Fast-paced environment" } ], "majorSkills" : "Machine learning, Statistical modeling, Large language models, Data science", "majorSkillsList" : [ "Machine learning", "Statistical modeling", "Large language models", "Data science" ], "coreResponsibilities" : "Understand business problem and data, Identify statistical, ML, Generative AI techniques, Advance analytics techniques, Deliver faster, deeper insights, Understand data availability and acquisition, Facilitate permissions and data acquisition, Lead adoption of Gen AI and ML-based approaches, Generate metrics at scale, Build production ready advanced analytics solutions, Drive effective business decisions, Communicate complex thinking", "teamCollaboration" : "Multiple engineering teams; Partner teams", "domainKnowledge" : "E-commerce; Product catalog; Search experience; Detail page; Product variations; Distributed systems; Machine learning systems; Rule-based systems; Data stores; Micro-services", "domainList" : [ "e-commerce", "product-catalog", "search-experience", "detail-page", "product-variations", "distributed-systems", "machine-learning-systems", "rule-based-systems", "data-stores", "micro-services" ], "domainSpecificKnowledge" : [ "E-commerce", "Product catalog", "Search experience", "Detail page", "Product variations", "Distributed systems", "Machine learning systems", "Rule-based systems", "Data stores", "Micro-services" ], "toolProficiency" : [ "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "communicationSkills" : "Communicate complex thinking", "innovationCreativity" : "Innovative", "problemSolvingSkills" : "Modeling complex problems; Discovering insights", "qualificationsBasic" : "4+ years applied research, 3+ years ML models business application, Master's degree and 6+ years applied research, Programming in Java, C++, Python, Experience with neural deep learning, Experience with machine learning", "qualificationsPreferred" : "Experience with R, Experience with scikit-learn, Experience with Spark MLLib, Experience with MxNet, Experience with Tensorflow, Experience with numpy, Experience with scipy, Experience with Hadoop, Experience with Spark", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Want to solve the hardest problems in e-commerce, allowing customers to discover what they are looking for from billions of catalog items? Interested in using LLMs at scale to improve Amazon's search experience and detail page? Want to operate on world's largest catalog to help our customers across the planet to discover relevant products within seconds? Item Relationships Platform is core to Amazon websites, mobile apps, Alexa, and physical stores serving millions of requests per second at single-digit millisecond latency. We provide accurate product details and related product sets to power shopping experiences. Our team owns highly available distributed micro-services, Machine-learning and rule-based validation systems, data stores containing billions of records, and software systems that make product data and related product sets available across Amazon. Your responsibilities as an Applied Scientist include modeling complex problems, discovering insights, and building algorithms using statistical models, machine learning and large language models to enhance the quality of Amazon’s product catalog. You will work alongside with multiple engineering teams to scale the machine learning solutions to fit Amazon Catalog scale of terabytes of data that is changing at a rapid speed. We are seeking an innovative and technically strong Applied Scientist with a background in optimization, machine learning, and statistical modeling/analysis. This role requires a team member to have strong quantitative modeling skills and the ability to apply optimization/statistical/machine learning methods to complex decision-making problems, with data coming from various data sources. The candidate should have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and ability to work in a fast-paced and ever-changing environment. Key job responsibilities * Ability to understand a business problem and the available data and identify what statistical, ML and Generative AI techniques can be applied to answer a business question * Advance our analytics techniques, including statistical analysis and complex data mining, to deliver faster, deeper insights that shape Amazon’s search and detail page experience for product variations. * Understand what data is available, where, and how to pull it together. Work with partner teams where needed to facilitate permissions and acquisition of required data * Lead the adoption of Gen AI and ML-based approaches across data science practice to generate metrics at scale. * Build production ready advanced analytics solutions to drive effective business decisions. * Communicate complex thinking easily at all levels. Basic Qualifications: - 4+ years of applied research experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist III, Relationship Data Services at Amazon.com Services LLC. Skills: Machine learning, Statistical modeling, Large language models, Data science. Understand business problem and data. Identify statistical, ML, Generative AI techniques", "postedDate" : "2026-06-13T16:19:48.565", "createdAt" : "2026-06-13T16:19:48.565", "lastUpdated" : "2026-06-15T05:01:22.697", "ingestTimestamp" : "2026-06-13T16:19:48.565", "mongoId" : "68b706987fc9a711f0f6facd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051072/apply", "salaryAnnualMin" : 150400, "salaryAnnualMax" : 260000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Machine learning", "Data mining", "Generative AI", "Advanced analytics", "Attention to detail", "Ambiguity", "Fast-paced environment", "Statistical modeling", "Large language models", "Data science", "Quantitative modeling", "Optimization methods", "Statistical methods", "Machine learning methods", "Decision making", "E-commerce", "Product catalog", "Search experience", "Detail page", "Product variations", "Distributed systems", "Machine learning systems", "Rule-based systems", "Data stores", "Micro-services", "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "skillCount" : 35, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "_score" : 936.0523, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a660974d8ee00a062ba7e", "title" : "Senior Applied Scientist, C360", "company" : "Amazon.com Services LLC", "industry" : "Applied Science, consumer engagement", "salary" : { "min" : 100000.0, "max" : 226000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T03:29:51.178", "fingerprint" : "f5b89e208e319a3f866c3da6b9e10d0d680745b954a63bb66adacbe9b6f99a9a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442941/apply", "externalId" : "147dd0be-7ff0-47b1-97d6-7a31d87e5f1e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Java, C++, R, scikit-learn, Spark, Spark MLLib, MxNet, Tensorflow, numpy, scipy, Hadoop", "professionalSkills" : [ "Information Retrieval", "NLP", "Large Language Models", "ML formulation", "Model architecture", "Training methodology", "Evaluation frameworks", "Scientific rigor", "Business impact", "Operational constraints", "Experimentation", "Reproducibility", "Cross-functional strategy", "Product vision", "Scientific novelty", "Statistical models", "ML models" ], "hardSkillsList" : [ "Applied research", "Machine learning models", "Neural deep learning", "Instruction tuning", "Reward 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learning", "level" : "intermediate" }, { "name" : "Multi-modal alignment", "level" : "intermediate" }, { "name" : "Large-scale experiments", "level" : "intermediate" }, { "name" : "Model behavior analysis", "level" : "intermediate" }, { "name" : "Training recipes", "level" : "intermediate" }, { "name" : "Reasoning", "level" : "intermediate" }, { "name" : "Personalization", "level" : "intermediate" }, { "name" : "Frontier paradigms", "level" : "intermediate" }, { "name" : "Recommendations", "level" : "intermediate" }, { "name" : "Information retrieval", "level" : "intermediate" }, { "name" : "LLM fine-tuning", "level" : "intermediate" }, { "name" : "Offline experimentation", "level" : "intermediate" }, { "name" : "Production A/B testing", "level" : "intermediate" }, { "name" : "Model architecture", "level" : "intermediate" }, { "name" : "Training methodology", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Scientific rigor", "level" : "intermediate" }, { "name" : "Business impact", "level" : "intermediate" }, { "name" : "Operational constraints", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Reproducibility", "level" : "intermediate" }, { "name" : "Cross-functional strategy", "level" : "intermediate" }, { "name" : "Product vision", "level" : "intermediate" }, { "name" : "Scientific novelty", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "ML modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Large Language Models, Machine Learning, Information Retrieval, Personalization", "majorSkillsList" : [ "Large Language Models", "Machine Learning", "Information Retrieval", "Personalization" ], "coreResponsibilities" : "Own scientific roadmap, Identify research directions, Translate business problems, Design end-to-end systems, Frame problems, Run offline experimentation, Drive production A/B testing, Drive technical decisions, Balance scientific rigor, Balance business impact, Balance operational constraints, Mentor science team, Raise bar for science team, Establish best practices, Influence cross-functional strategy, Partner with engineering, Partner with product, Partner with leadership, Define product vision, Publish state of the art, Advance state of the art, Contribute to ML community, Generate insights, Generate opportunities, Execute experiments, Develop statistical models, Develop ML models, Innovate on behalf of customer, Build features strategically, Mentor junior members, Help junior members grow", "teamCollaboration" : "Partnering with engineering; Partnering with product; Partnering with leadership; Collaboration with other Scientists; Collaboration with Engineers; Collaboration with Product Managers", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Information Retrieval; NLP; Large Language Models; E-commerce; Post-training ML; Instruction tuning; Reward modeling; Reinforcement learning; Multi-modal alignment; Reasoning; Personalization; Frontier paradigms; Recommendations; LLM fine-tuning", "domainList" : [ "information-retrieval", "nlp", "large-language-models", "e-commerce", "post-training-ml", "instruction-tuning", "reward-modeling", "reinforcement-learning", "multi-modal-alignment", "reasoning", "personalization", "frontier-paradigms", "recommendations", "llm-fine-tuning" ], "domainSpecificKnowledge" : [ "Information Retrieval", "NLP", "Large Language Models", "E-commerce", "Post-training ML", "Instruction tuning", "Reward modeling", "Reinforcement learning", "Multi-modal alignment", "Reasoning", "Personalization", "Frontier paradigms", "Recommendations", "LLM fine-tuning" ], "toolProficiency" : [ "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Paper discussions; Publish patents; Publish publications; External engagement", "innovationCreativity" : "Innovate on behalf of customer; Scientifically novel", "problemSolvingSkills" : "Translate ambiguous business problems; Solve real-world problems", "outcomesObjectives" : "Improve core capabilities", "qualificationsBasic" : "4+ years applied research, 3+ years ML models business application, Master's degree 6+ years applied research, Programming in Java, C++, Python, Experience neural deep learning, Experience machine learning", "qualificationsPreferred" : "Modeling tools experience, Large scale distributed systems experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you a scientist passionate about advancing Information Retrieval, NLP, and Large Language Models? Do you want access to massive datasets, world-class compute, and a team of top scientists and engineers building the future of e-commerce? If so, you'll be a great fit for our team at Amazon. We build large-scale ML solutions that deliver personalized, up-to-date recommendations to millions of customers. Our team is uniquely positioned to shape how customers think about their shopping journey. We're looking for scientists with deep LLM expertise to build our next generation of models. The team focuses on post-training—instruction tuning, reward modeling, reinforcement learning, and multi-modal alignment. You'll design and run large-scale experiments, analyze model behavior, and develop training recipes that improve core capabilities like reasoning, personalization, and other frontier paradigms. Key job responsibilities Own the scientific roadmap for personalization initiatives, identifying high-impact research directions and translating ambiguous business problems into well-defined ML formulations Design and lead end-to-end systems spanning recommendations, information retrieval, and LLM fine-tuning, from problem framing through offline experimentation to production A/B testing and launch Drive technical decisions on model architecture, training methodology, and evaluation frameworks, balancing scientific rigor with business impact and operational constraints Mentor and raise the bar for the science team through design reviews, paper discussions, and establishing best practices for experimentation and reproducibility Influence cross-functional strategy by partnering with engineering, product, and leadership to define the product vision informed by what's technically feasible and scientifically novel Publish and advance the state of the art — contribute to the broader ML community through patents, publications, and external engagement at conferences A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, execute experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the organization. You get to influence stakeholders with clear communication skills. You innovate on behalf of the customer and strategically build features. You will mentor junior members and help them grow. About the team The team values innovations and offers a safe place to try, fail and learn while fostering a culture of continuous improvement. Everyone is a leader and owner for everything we do as a team. Our team offers creative space with entrepreneurial work environment focusing on customer obsession. Basic Qualifications: - 4+ years of applied research experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning Preferred Qualifications: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually", "summaryDescription" : "Senior Applied Scientist, C360 at Amazon.com Services LLC. Skills: Large Language Models, Machine Learning, Information Retrieval, Personalization. Own scientific roadmap. Identify research directions", "postedDate" : "2026-06-13T06:56:44.564", "createdAt" : "2026-06-13T06:56:44.564", "lastUpdated" : "2026-06-15T03:29:51.178", "ingestTimestamp" : "2026-06-13T06:56:44.564", "mongoId" : "6a2a660974d8ee00a062ba7e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442941/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 226000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Applied research", "Machine learning models", "Neural deep learning", "Instruction tuning", "Reward modeling", "Reinforcement learning", "Multi-modal alignment", "Large-scale experiments", "Model behavior analysis", "Training recipes", "Reasoning", "Personalization", "Frontier paradigms", "Recommendations", "Information retrieval", "LLM fine-tuning", "Offline experimentation", "Production A/B testing", "Model architecture", "Training methodology", "Evaluation frameworks", "Scientific rigor", "Business impact", "Operational constraints", "Experimentation", "Reproducibility", "Cross-functional strategy", "Product vision", "Scientific novelty", "Statistical analysis", "ML modeling", "Leadership", "Mentoring", "Large Language Models", "Machine Learning", "Information Retrieval", "NLP", "ML formulation", "Statistical models", "ML models", "Roadmap planning", "E-commerce", "Post-training ML", "R", "scikit-learn", "Spark MLLib", "MxNet", "Tensorflow", "numpy", "scipy", "Hadoop", "Spark" ], "skillCount" : 52, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 935.7876, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a846174d8ee00a0678c3c", "title" : "Software Engineer, Data", "company" : "Acrisure", "industry" : "Fintech", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer, Data in Austin, TX, adjusted for the FinTech industry and company size." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-14T03:24:02.398", "fingerprint" : "2ac7ba9a0b3745f04f313754506591370fb56c7b340371e959dd828ab21cc303", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/acrisureinnovation/jobs/8584046002", "externalId" : "8584046002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Java, SQL, Scala, Data Lake, Delta Lake, Databricks, BigQuery, Palantir, Airflow, Dagster, Fivetran, GCP, Azure", "professionalSkills" : [ "Data modeling", "Data warehousing", "Data lakes", "Software engineering", "Data security", "Data governance", "Ontology development", "DevOps processes" ], "hardSkillsList" : [ "Data modeling", "Data warehousing", "Data lakes", "Software engineering", "Data security", "Data governance", "Ontology development", "API development" ], "softSkillsList" : [ "Leadership", "Accountability" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data lakes", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Ontology development", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Accountability" } ], "majorSkills" : "Data Engineering, Data Modeling, Python, SQL", "majorSkillsList" : [ "Data Engineering", "Data Modeling", "Python", "SQL" ], "coreResponsibilities" : "Build technology to model data sources, Build pipelines to model data sources, Model data sources into reusable data models, Consume data models with operational applications, Consume data models with analytics platforms, Act as a forward-deployed engineer, Embed with partner teams, Unify data across the enterprise, Optimize business decisions, Build a data foundation, Power analytics platforms, Power reporting platforms, Power business processes, Provide quality data, Present data to maximize value", "teamCollaboration" : "Partner teams; Cross-functional partnership", "domainKnowledge" : "Data Lake concepts; Delta Lake concepts; Fintech", "domainList" : [ "data-lake-concepts", "delta-lake-concepts", "fintech" ], "domainSpecificKnowledge" : [ "Data Lake concepts", "Delta Lake concepts", "Fintech" ], "toolProficiency" : [ "Databricks", "BigQuery", "Palantir", "Airflow", "Dagster", "Fivetran" ], "documentationSkills" : "System documentation", "continuousLearning" : "Continued learning and growth", "qualificationsBasic" : "5+ years of experience in data engineering, 5+ years of experience in data warehousing, 5+ years of experience in data lakes, 5+ years of experience in software engineering with a data focus, Data modeling skills, Proficiency in Python, Proficiency in Java, Proficiency in SQL, Proficiency in Scala, Knowledge of Data Lake concepts, Knowledge of Delta Lake concepts, Understanding of data security best practices, Understanding of data governance best practices, Hands-on experience with Databricks, Hands-on experience with BigQuery, Hands-on experience with Palantir, Experience working in cloud environments, Experience building software testing best practices, Experience building data testing best practices, Experience building system documentation best practices, Experience working with APIs, Bachelor’s degree in Computer Science or related field, Equivalent experience with demonstrated commitment to continued learning", "qualificationsPreferred" : "Experience with end-to-end data pipelines in Palantir, Ontology development in Palantir is a plus, Familiarity with Airflow, Familiarity with Dagster, Familiarity with Fivetran, Experience with GCP, Experience with Azure, Familiarity with DevOps processes, AI-assisted coding is a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Software Engineer, Data Austin, Texas (Hybrid: Four Days in Office) Note: This is a full-time role and we do not offer C2C or C2H employment and are not able to sponsor visas for this position. About Acrisure Acrisure Enterprise Technology Group is where human expertise meets advanced technology. A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with the right solutions to grow boldly forward. Bringing cutting-edge technology and top-tier human support together, we connect clients with customized solutions across a range of insurance, reinsurance, payroll, benefits, cybersecurity, mortgage services – and more. In the last twelve years, Acrisure has grown in revenue from $38 million to almost $5 billion and employs over 19,000 colleagues in more than 20 countries. Acrisure was built on entrepreneurial spirit. Prioritizing leadership, accountability, and collaboration, we equip our teams to work at the highest levels possible. Job Summary: The Enterprise Data team’s mission is to unify data across the enterprise to optimize business decisions made at the strategic, tactical, and operational levels of the organization. We accomplish this by building a data foundation utilizing Palantir Foundry, AIP and Ontology that powers analytics and reporting platforms, and business processes that provide quality data, in a timely fashion, from any channel of the company and present them in such a manner as to maximize the value of that data for both internal and external customers. The Software Engineer, Data (L2) is responsible for building technology and pipelines to rapidly model different and varying data sources into reusable data models that can be consumed by a wide variety of customers including operational applications as well as analytics operate as a forward‑deployed engineer embedded with partner teams. Requirements 5+ years of experience in data engineering, data warehousing, data lakes, or software engineering with a data focus. Strong data modeling skills and the ability to work directly with business stakeholders to understand data needs. Proficiency in Python, Java, SQL, and Scala. Strong knowledge of Data Lake and Delta Lake concepts. Understanding of data security and data governance best practices. Hands‑on experience with Databricks, BigQuery, or Palantir for building enterprise data platforms; experience with end‑to‑end data pipelines or ontology development in Palantir is a plus. Familiarity with orchestration tools such as Airflow, Dagster, or Fivetran. Experience working in cloud environments (GCP or Azure preferred). Familiarity with DevOps processes and AI‑assisted coding is a plus. Experience building and documenting best practices for software testing, data testing, and system documentation. Experience working with APIs. Bachelor’s degree in Computer Science or a related field, or equivalent experience with demonstrated commitment to continued learning and growth. Education and Experience: Required Qualifications Undergraduate degree in computer science or related discipline preferred or equivalent experience along with a demonstrated desire for continuing education and improvement #LI-austin #LI-onsite Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.  Benefits and Perks: Competitive compensation Generous vacation policy, paid holidays, and paid sick time Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid) Company-paid Short-Term and Long-Term Disability Insurance Company-paid Group Life insurance Company-paid Employee Assistance Program (EAP) and Calm App subscription Employee-paid Pet Insurance and optional supplemental insurance coverage Vested 401(k) with company match and financial wellness programs Flexible Spending Account (FSA), Health Savings Account (HSA) and commuter benefits options Paid maternity leave, paid paternity leave, and fertility benefits Career growth and learning opportunities …and so much more! Please note: This list is not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Offerings may vary based on subsidiary entity or geographic location. Making a lasting impact on the communities it serves, Acrisure has pledged more than $22 million through its partnerships with Corewell Health Helen DeVos Children's Hospital in Grand Rapids, Michigan, UPMC Children's Hospital in Pittsburgh, Pennsylvania and Blythedale Children's Hospital in Valhalla, New York. At Acrisure, we firmly believe that an inclusive workforce drives innovation, creativity, and ultimately, our collective success.   We recruit, hire, employ, train, promote, and compensate individuals based on job-related qualifications and abilities. Acrisure also has a longstanding policy of providing a work environment that respects the dignity and worth of each individual and is free from all forms of employment discrimination.  Acrisure also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief, in accordance with applicable laws. If you need to inquire about an accommodation, or need assistance with completing the application process, please email leaves@acrisure.com.  California residents can learn more about our privacy practices for applicants by visiting the Acrisure California Applicant Privacy Policy available at www.Acrisure.com/privacy/caapplicant. Final candidates will be required to complete post-offer verification processes related to the role and in accordance with applicable laws. Recruitment Fraud: Please visit here to learn more about our Recruitment Fraud Notice. Welcome, your new opportunity awaits you. There are amazing opportunities for talented people in every part of our business. We invite you to find your next great opportunity with us. Executive Search Firms & Staffing Agencies To Executive Search Firms & Staffing Agencies: Acrisure does not accept unsolicited resumes from any agencies that have not signed a mutual service agreement. All unsolicited resumes will be considered Acrisure's property, and Acrisure will not be obligated to pay a referral fee. This includes resumes submitted directly to Hiring Managers without contacting Acrisure's Human Resources Talent Department. #LI-onsite #BI-onsite", "summaryDescription" : "Software Engineer, Data at Acrisure. Skills: Data Engineering, Data Modeling, Python, SQL. Build technology to model data sources. Build pipelines to model data sources", "postedDate" : "2026-06-12T00:45:48.746", "createdAt" : "2026-06-12T00:45:48.746", "lastUpdated" : "2026-06-14T03:24:02.398", "ingestTimestamp" : "2026-06-12T00:45:48.746", "mongoId" : "6a2a846174d8ee00a0678c3c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Data warehousing", "Data lakes", "Software engineering", "Data security", "Data governance", "Ontology development", "API development", "Leadership", "Accountability", "Data Engineering", "Data Modeling", "Python", "SQL", "DevOps processes", "Data Lake concepts", "Delta Lake concepts", "Fintech", "Databricks", "BigQuery", "Palantir", "Airflow", "Dagster", "Fivetran" ], "skillCount" : 24, "jobCategory" : "other", "jobSubcategory" : "data", "dataQualityScore" : 1.0, "_score" : 935.6271, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Fintech" }, { "id" : "6a2c930374d8ee00a098721d", "title" : "DATA SCIENTIST II", "company" : "Inter Carreiras", "industry" : "FinTech", "salary" : { "min" : 130000.0, "max" : 195000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Data Scientist II in Belo Horizonte, Brazil, adjusted for mid-seniority and the FinTech industry." }, "location" : "BELO HORIZONTE", "locations" : [ "BELO HORIZONTE" ], "timestamp" : "2026-06-15T05:06:51.663", "fingerprint" : "87b5645c1ad16b81ef849d75a0d1385885a6706242d669cdc9b0b9a7ae586a4c", "source" : "greenhouse", "language" : "pt", "applyUrl" : "https://boards.greenhouse.io/inter/jobs/4687013005?gh_jid=4687013005", "externalId" : "4687013005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Belo Horizonte", "state" : "Minas Gerais", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-19.9227318,-43.9450948" } ], "locationText" : "Belo Horizonte, Minas Gerais, Brazil", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, SQL, Scikit-learn, Pandas, Numpy, Docker, Kubernetes", "professionalSkills" : [ "Análise de dados", "Modelagem preditiva", "Detecção de fraudes", "Segurança financeira", "Conformidade financeira" ], "hardSkillsList" : [ "Análise estatística", "Modelagem de dados", "Machine learning", "Algoritmos", "Detecção de fraudes", "Análise transacional", "Otimização de modelos" ], "softSkillsList" : [ "Colaborativo", "Aprender", "Evoluir tecnicamente" ], "hardSkills" : [ { "name" : "Análise estatística", "level" : "intermediate" }, { "name" : "Modelagem de dados", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Algoritmos", "level" : "intermediate" }, { "name" : "Detecção de fraudes", "level" : "intermediate" }, { "name" : "Análise transacional", "level" : "intermediate" }, { "name" : "Otimização de modelos", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Colaborativo" }, { "name" : "Aprender" }, { "name" : "Evoluir tecnicamente" } ], "majorSkills" : "Machine learning, Modelagem preditiva, Detecção de fraudes, Python", "majorSkillsList" : [ "Machine learning", "Modelagem preditiva", "Detecção de fraudes", "Python" ], "coreResponsibilities" : "Criar modelos machine learning, Implementar modelos machine learning, Implementar algoritmos, Testar modelos, Validar modelos, Coletar dados, Limpar dados, Analisar dados, Identificar padrões de fraude, Monitorar transações, Monitorar atividades, Detectar comportamentos suspeitos, Ajustar modelos, Otimizar modelos, Ajustar sistemas, Otimizar sistemas", "teamCollaboration" : "Equipes de outras areas; Trabalhar em equipe", "domainKnowledge" : "Prevenção à fraude; Operações financeiras; Dados transacionais", "domainList" : [ "prevencao-a-fraude", "operacoes-financeiras", "dados-transacionais" ], "domainSpecificKnowledge" : [ "Prevenção à fraude", "Operações financeiras", "Dados transacionais" ], "toolProficiency" : [ "Python", "Scikit-learn", "Pandas", "Numpy", "Docker", "Kubernetes" ], "communicationSkills" : "Comunicar descobertas; Comunicar recomendações", "continuousLearning" : "Treinamento; Capacitação", "problemSolvingSkills" : "Resolução de problemas complexos; Pensamento analítico", "qualificationsBasic" : "Experiência com Python, Conhecimento análise de dados, Conhecimento estatística, Experiência com modelos preditivos, Formação áreas quantitativas, Vontade de aprender, Trabalhar em equipe, Pensamento analítico, Resolução de problemas complexos", "qualificationsPreferred" : "Experiência com bibliotecas ML, Vivência com SQL, Manipulação de grandes volumes, Inglês básico/intermediário, Experiência com containers, Experiência com orquestração, Experiência com deploy ML, Experiência com CI/CD", "workSiteFlexibility" : "Flexible", "rawDescription" : "Conheça o Inter Pioneiros, mudamos o mercado ao lançar o primeiro banco digital do Brasil e seguimos criando tendências com tecnologia de ponta. Evoluímos para um Super App Financeiro Global, com soluções completas e inovação de primeira. Aqui, o trabalho tem propósito: construir oportunidades reais, transformar a vida das pessoas e o mercado financeiro. Esse é o nosso Jeito Inter de Fazer. Se você quer fazer parte dessa mudança e deixar um legado, seu lugar é aqui. Vem ser Sangue Laranja. Get to Know Inter As pioneers, we transformed the market by launching Brazil’s first digital bank and continue to shape the future with cutting-edge technology. We have evolved into a Global Financial Super App, delivering complete solutions and leading innovation. Here, work has purpose: creating real opportunities, transforming people’s lives, and reshaping the financial market. This is the Inter way of making things happen. If you want to be part of this transformation and leave your mark, your place is here. Become Sangue Laranja. Sobre a vaga e missão do cargo Você fará parte do nosso time de Fraud Modeling e atuará diretamente no desenvolvimento de modelos preditivos para prevenção à fraude, contribuindo para a segurança e conformidade das operações financeiras. No seu dia a dia, você vai: Criar e implementar modelos de machine learning e algoritmos para detecção de fraudes. Testar e validar modelos para garantir precisão e eficácia. Coletar, limpar e analisar grandes volumes de dados transacionais para identificar padrões de fraude. Trabalhar em estreita colaboração com equipes de outras areas. Comunicar descobertas e recomendações para as partes interessadas de forma clara e eficaz. Monitorar continuamente as transações e atividades para detectar comportamentos suspeitos em tempo real. Ajustar e otimizar modelos e sistemas com base no feedback e nos resultados de desempenho. O que buscamos (Campo Editável) Obrigatórios: Experiência com programação em Python Conhecimento em análise de dados e estatística Experiência com desenvolvimento ou manutenção de modelos preditivos Formação em áreas quantitativas (Estatística, Matemática, Engenharia, Ciências da Computação ou correlatas) Forte vontade de aprender e evoluir tecnicamente Capacidade de trabalhar em equipe de forma colaborativa Pensamento analítico e resolução de problemas complexos Desejáveis: Experiência com bibliotecas de machine learning (scikit-learn, pandas, numpy) Vivência com SQL e manipulação de grandes volumes de dados Inglês básico/intermediário Experiência com containers e orquestração (ex.: Docker, Kubernetes). Experiência com deploy de modelo de machine learning e CI/CD Benefícios Vale-alimentação e Vale-refeição Plano de saúde e odontológico Seguro de vida DayOff de Aniversário Baby On Board e Sala de Amamentação Licença parental estendida Auxílio-creche/babá e/ou auxílio para filhos com deficiência Wellhub e Grupo de Corrida Inter Espaço CARE4U (Belo Horizonte): serviços de autocuidado com valores exclusivos, área de descompressão, jogos e minicampo de golfe Vantagens no nosso SuperApp, como Duo Gourmet Cartão Prime Inter Programas de treinamento e capacitação internos Etapas do Processo Seletivo Triagem de currículos; Screening (abordagem inicial para alinhamento de expectativas sobre a vaga); Assessments; Entrevista com Time de Talent; Teste técnico (quando necessário); Entrevista com a liderança; Proposta de Contratação (Offer);", "summaryDescription" : "DATA SCIENTIST II at Inter Carreiras. Skills: Machine learning, Modelagem preditiva, Detecção de fraudes, Python. Criar modelos machine learning. Implementar modelos machine learning", "postedDate" : "2026-06-14T05:56:36.398", "createdAt" : "2026-06-14T05:56:36.398", "lastUpdated" : "2026-06-15T05:06:51.663", "ingestTimestamp" : "2026-06-14T05:56:36.398", "mongoId" : "6a2c930374d8ee00a098721d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Análise estatística", "Modelagem de dados", "Machine learning", "Algoritmos", "Detecção de fraudes", "Análise transacional", "Otimização de modelos", "Colaborativo", "Aprender", "Evoluir tecnicamente", "Modelagem preditiva", "Python", "Análise de dados", "Segurança financeira", "Conformidade financeira", "Prevenção à fraude", "Operações financeiras", "Dados transacionais", "Scikit-learn", "Pandas", "Numpy", "Docker", "Kubernetes" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 920.89734, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a524a74d8ee00a05f9584", "title" : "Senior Quantitative Treasury & ALM Risk Analyst", "company" : "Ebury", "industry" : "FinTech", "salary" : { "min" : 65000.0, "max" : 90000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Quantitative Treasury & ALM Risk Analyst in Madrid, Spain, adjusted for the FinTech industry and company size." }, "location" : "Madrid", "locations" : [ "Madrid" ], "timestamp" : "2026-06-14T10:05:50.118", "fingerprint" : "b993c775a65d4aac7ff81eef477c15967211fdc9a21aaef38a632ea995c221d8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ebury.com/company/careers/job?gh_jid=4890238101", "externalId" : "4890238101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, NumPy, Pandas, SQL", "professionalSkills" : [ "Quantitative analysis", "Risk modelling", "Balance sheet evolution", "Hedging strategies", "Interest rate risk", "IFRS valuation", "Delta attribution", "Pricing strategies", "Revenue optimization" ], "hardSkillsList" : [ "Quantitative modelling", "Liquidity risk simulations", "VaR99 calculations", "Portfolio correlation analysis", "DV01 analysis", "Code refactoring", "Code optimization" ], "softSkillsList" : [ "Creative thinking", "Innovative thinking", "Analytical skills", "Problem-solving skills", "Curiosity", "Drive to learn" ], "hardSkills" : [ { "name" : "Quantitative modelling", "level" : "intermediate" }, { "name" : "Liquidity risk simulations", "level" : "intermediate" }, { "name" : "VaR99 calculations", "level" : "intermediate" }, { "name" : "Portfolio correlation analysis", "level" : "intermediate" }, { "name" : "DV01 analysis", "level" : "intermediate" }, { "name" : "Code refactoring", "level" : "intermediate" }, { "name" : "Code optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Creative thinking" }, { "name" : "Innovative thinking" }, { "name" : "Analytical skills" }, { "name" : "Problem-solving skills" }, { "name" : "Curiosity" }, { "name" : "Drive to learn" } ], "majorSkills" : "Quantitative Treasury, ALM Risk Modelling, Python, SQL", "majorSkillsList" : [ "Quantitative Treasury", "ALM Risk Modelling", "Python", "SQL" ], "coreResponsibilities" : "Assist in development and implementation of quantitative risk, Contribute to simulation of balance sheet evolution, Contribute to development of hedging strategies, Support mapping of interest rate risk, Support automation of hedging strategies, Participate in IFRS valuation projects, Participate in delta attribution projects, Contribute to refactoring code, Contribute to optimization of code, Assist in analysis of pricing strategies, Assist in analysis of revenue optimization strategies, Document quantitative findings, Present quantitative findings, Brainstorm ideas to innovate processes", "teamCollaboration" : "Collaborative team environment", "domainKnowledge" : "Liquidity risk; Interest rate risk; IFRS valuation; Quantitative finance; Risk modeling", "domainList" : [ "liquidity-risk", "interest-rate-risk", "ifrs-valuation", "quantitative-finance", "risk-modeling" ], "domainSpecificKnowledge" : [ "Liquidity risk", "Interest rate risk", "IFRS valuation", "Quantitative finance", "Risk modeling" ], "communicationSkills" : "Documentation; Presentation; Explain complex concepts", "documentationSkills" : "Documentation", "continuousLearning" : "Learn complex financial concepts", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "+5 years of experience in quantitative analysis or programming, Proficiency in Python, Proficiency in SQL, Confident communication in English", "qualificationsPreferred" : "Experience in quantitative finance, Experience in data analysis, Interest and aptitude for quantitative finance, Interest and aptitude for risk modeling", "workSiteFlexibility" : "Onsite", "rawDescription" : "Ebury helps ambitious businesses unlock global growth, and we take the same approach with our people. We encourage innovation and movement, collaboration and problem-solving, and foster an environment where everyone can feel they belong, are valued, supported and empowered to succeed. If you’re a collaborator who wants to help transform how businesses operate globally, get in touch - we’d love to discuss how Ebury can accelerate your career so you can shape the future. Quantitative Treasury/ALM Risk Modelling we redefine them. What you’ll do Assist in the development and implementation of advanced quantitative risk models, including liquidity risk simulations, VaR99 calculations, and portfolio correlation analysis. Contribute to the simulation of balance sheet evolution and the development of multi-entity, multi-currency hedging strategies. Support the mapping of interest rate risk through DV01 analysis and the automation of hedging strategies. Participate in IFRS valuation and delta attribution projects, linking market impacts to revenue drivers. Contribute to the refactoring and optimization of our code using Python and SQL. Assist in the analysis of pricing and revenue optimization strategies. Document and present quantitative findings to the team. Brainstorm and contribute ideas to innovate current processes. What you’ll need +5 years of experience in quantitative analysis or programming. Proficiency in Python (NumPy, Pandas) and SQL. Experience in quantitative finance or data analysis would be a plus. A strong passion for quantitative financial mathematics and quantitative analysis. Creative and innovative thinking, with a desire to challenge existing methodologies. Analytical and problem-solving skills. Communication, documentation and presentation skills with the ability to explain complex concepts clearly and concisely. Curiosity and a drive to learn complex financial concepts. Ability to work effectively in a collaborative team environment. Confident communication in English, both written and spoken. Open to candidates from diverse academic backgrounds, provided they demonstrate a strong interest and aptitude for quantitative finance and risk modeling. Why Ebury? Competitive Starting Salary with an annual discretionary bonus that truly rewards your performance from day one. Dedicated Mentorship: Learn directly from experienced managers who are invested in your success. Cutting-Edge Technology: Leverage state-of-the-art tailor made tools and systems that enable you to perform at your best. Clear, Accelerated Career Progression: Defined pathways to leadership and specialist roles within Ebury. Dynamic & Supportive Culture: Work in a collaborative environment where teamwork and personal growth are prioritized. Generous Benefits Package: Access competitive benefits tailored to your location, which typically include health care and social benefits. Central Madrid Office: A fantastic location with excellent transport links. Ready to launch your career with a global FinTech? Click the ‘Apply’ Today and discover your potential at Ebury! #LI-GC2 #LI-HYBRID About us Ebury delivers sophisticated, integrated solutions — business accounts, hedging, and financing — on a single platform with a seamless workflow. Our success is built on a simple premise and singular purpose: To help businesses operate and scale globally. Since its founding in 2009, Ebury has always been a fast-growing leader in fintech. Today, we bring together 1,800+ Eburians across nearly 70 cities and we’re always looking to add to our team. At the heart of our offering is a proprietary platform, purpose-built to help businesses seamlessly streamline and manage global cash flow. We focus on continuous product evolution and innovation to build the infrastructure for borderless growth and help our clients scale at every stage. The opportunities at Ebury are as diverse as our people, ranging from business development to engineering roles across our tech pillars. We believe in inclusion. We stand against discrimination in all forms and are against the intolerance of differences that makes us a modern and successful organisation. At Ebury, you can be whoever you want to be and still feel a sense of belonging no matter your story.", "summaryDescription" : "Senior Quantitative Treasury & ALM Risk Analyst at Ebury. Skills: Quantitative Treasury, ALM Risk Modelling, Python, SQL. Assist in development and implementation of quantitative risk. 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Sustainability intelligence; EHS compliance", "domainList" : [ "regulatory-intelligence", "sustainability-intelligence", "ehs-compliance" ], "domainSpecificKnowledge" : [ "Regulatory intelligence", "Sustainability intelligence", "EHS compliance" ], "toolProficiency" : [ "Docker", "Kubernetes" ], "communicationSkills" : "Clear communication; Effective communication; Technical guides", "documentationSkills" : "Technical documentation", "continuousLearning" : "Continuous improvement", "problemSolvingSkills" : "Problem diagnosis; Root cause analysis", "qualificationsBasic" : "Bachelor's degree in computer science, 10+ years C# .NET experience, 2+ years event-driven architectures, Technical leadership experience", "qualificationsPreferred" : "Kafka experience preferred, ElasticSearch experience preferred", "remoteFriendly" : false, "rawDescription" : "Who We Are: Enhesa is the leading provider of regulatory and sustainability intelligence worldwide. As a trusted partner, we empower the global business community with the insight to act today and prepare for tomorrow to create a more sustainable future - positively impacting our environment, our health, our safety, and our future. Navigating the fast-changing compliance and sustainability landscapes, we help them understand not just what they should do (first) but also how to do it. Both in their unique business and anywhere in the world. Now and in the future. Our Mission: Identify EHS requirements for the industry Provide EHS compliance tools to companies Advise companies in developing and implementing corporate EHS strategies Enhesa’s core clients include Fortune 500 multinational companies. For more information, visit www.enhesa.com As part of our highly dynamic team, we offer: A competitive salary package Regularly delivers high-quality, working software as part of a software development team; Builds a deep, expert understanding of their team’s codebase; Provides highly insightful, comprehensive code reviews with an eye towards bigger-picture concepts; Ensures documentation exists for all critical systems and writes technical guides used widely by other engineers; Helps define SRE standards so that teams can effectively monitor their applications in production and respond quickly to incidents; Drives technical decision-making at a high level, expertly identifying trade-offs and risks and considering organisation-wide technical alignment; Effectively diagnoses the root cause of complex bugs using deep knowledge of both code and infrastructure. Provides a fix along with an automated regression test; Helps to provide direction and vision to our technical improvements; Mentors, coaches and empowers other engineers. Shares knowledge regularly through demos and presentations; Education Level Bachelor’s degree (or equivalent) in computer science or a related field. Experience At least 10 years working with .NET C#. Required Technical Skills Expert (10+ years) C#.NET experience and expertise; Understanding of how to apply microservice architectures successfully, with expert knowledge of many patterns and techniques, including the tradeoffs of each. Experience working with microservices in more than one context; Significant (2+ years) experience with event-driven architectures and event streaming/messaging tools like Kafka (preferred), Pulsar, RabbitMQ, etc.; Experience using NoSQL databases - ElasticSearch (preferred), Dynamo, MongoDB, Redis, etc. Understanding of which database is best deployed depending on the use case.; Proven ability to identify opportunities for best practice improvements and drive change across multiple teams; Ability to tackle the most complex technical problems independently; Evidence of driving complex technical decisions involving multiple stakeholders in critical areas; Ability to pre-empt technical risks, raise awareness, and coordinate mitigation of the risk; Track record of quickly learning about complex architectures and code-bases and becoming an expert; Strong knowledge of deploying and scaling cloud applications, including use of containerization (Docker) and orchestration (Kubernetes); Experience working in an Agile environment; Technical leadership experience (3+ years), including mentoring other engineers. Examples could include leading projects or initiatives, leading a team, organizing engineering community events, etc.; Other Required Skills: Excellent communication skills. Able to communicate clearly and effectively, adjusting style depending on the audience; Able to work effectively as part of a team, contributing to the team dynamic and resolving conflicts constructively; Can quickly adapt and embraces change; Champion of continuous improvement; Shows initiative in tackling problems, executing pragmatically and making data driven decisions; If you are ready to join our journey, please apply! Equal Opportunity Employer Enhesa is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected characteristic.", "summaryDescription" : "Staff Backend Software Engineer at Enhesa. Skills: Microservices, Event-driven architectures, NoSQL databases, Cloud applications. Deliver high-quality software. Build expert understanding", "postedDate" : "2026-06-11T21:52:51.529", "createdAt" : "2026-06-11T21:52:51.529", "lastUpdated" : "2026-06-14T22:14:46.785", "ingestTimestamp" : "2026-06-11T21:52:51.529", "mongoId" : "6a2a821774d8ee00a067265c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Microservice patterns", "Event streaming", "Database deployment", "Regression testing", "Cloud application deployment", "Containerization", "Orchestration", "Mentoring", "Coaching", "Microservices", "Event-driven architectures", "NoSQL databases", "Cloud applications", "Technical leadership", "Risk assessment", "Root cause analysis", "Agile", "Regulatory intelligence", "Sustainability intelligence", "EHS compliance", "Docker", "Kubernetes" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "applications-engineering", "dataQualityScore" : 0.8888889, "_score" : 917.0852, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Regulatory Intelligence" }, { "id" : "6a2a73b274d8ee00a0650c15", "title" : "Database Engineer", "company" : "KRAFTON", "salary" : { "min" : 7.5E7, "max" : 1.1E8, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Database Engineer in Seoul, South Korea, adjusted for the technology industry and company size." }, "location" : "Seoul", "locations" : [ "Seoul" ], "timestamp" : "2026-06-14T22:14:57.233", "fingerprint" : "9a9cae768474ceddef4b94a957525ad00a6dbfffeb7f8bc86b6dbeab7e295c23", "source" : "greenhouse", "language" : "ko", "applyUrl" : "https://job-boards.greenhouse.io/krafton/jobs/8581493002", "externalId" : "8581493002", "structuredLocations" : [ { "city" : "Seoul", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.5666791,126.9782914" } ], "locationText" : "Seoul, South Korea", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "NoSQL, DynamoDB, MongoDB, AWS, Azure, GCP, DevOps, SRE, Ansible, Terraform, Python, Prometheus, ELK Stack", "professionalSkills" : [ "Data Modeling", "Performance Tuning", "Database Security" ], "hardSkillsList" : [ "Database operations", "Schema design", "Performance optimization", "Database security" ], "hardSkills" : [ { "name" : "Database operations", "level" : "intermediate" }, { "name" : "Schema design", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Database security", "level" : "intermediate" } ], "majorSkills" : "Database operations, NoSQL, Public Cloud", "majorSkillsList" : [ "Database operations", "NoSQL", "Public Cloud" ], "coreResponsibilities" : "Operate and manage database environments, Install databases, Deploy databases, Monitor databases, Log database activities, Provide technical support, Establish database security policies, Execute database security procedures, Research and develop database environments, Accumulate knowledge on databases", "domainKnowledge" : "Cloud infrastructure; DevOps methodology; SRE methodology; Game development process", "domainList" : [ "cloud-infrastructure", "devops-methodology", "sre-methodology", "game-development-process" ], "domainSpecificKnowledge" : [ "Cloud infrastructure", "DevOps methodology", "SRE methodology", "Game development process" ], "toolProficiency" : [ "Ansible", "Terraform", "Python", "Prometheus", "ELK Stack" ], "continuousLearning" : "Knowledge accumulation", "problemSolvingSkills" : "Performance Tuning", "specialRequirements" : "5-month probationary period", "qualificationsBasic" : "DynamoDB, MongoDB experience, Public Cloud environment experience, Database schema design, Cloud infrastructure understanding, DevOps, SRE methodology understanding, Game development process understanding, No travel restrictions", "qualificationsPreferred" : "AWS DynamoDB experience, RDB experience, Automation tools experience, Scripting languages experience, Monitoring tools experience, Logging tools experience, Large-scale data migration experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "우리는 게이머의 로망을 실현하기 위해, 누구도 가지 않는 길을 갑니다. 예상을 뛰어넘는 과감한 상상력과 기술로, 전 세계 팬들이 잊지 못할 세상을 만들기 위해 담대하게 도전하고 개척합니다. We pioneer the path to players' dreams. With bold imagination and breakthrough technology, we create unforgettable worlds for fans across the globe. 우리 팀(프로젝트)을 소개합니다. KRAFTON 에서 진행하는 다양한 프로젝트의 Database 환경을 구성하고 관리합니다. 전통적인 DBA 의 역할을 수행하며 On-premise 환경과 다양한 Public Cloud 환경에서 서비스 되고 있는 Database 에 대한 운영을 하고 있습니다. 우리 팀과 함께할 미션을 소개합니다. KRAFTON 에서 제공하는 여러 게임 및 관련 서비스 환경의 Database 운영 및 관리 (설치, 배포, 모니터링, 로깅 등) Data Modeling, Performance Tunning 등 Database 관련 기술 지원 Database 보안 정책 및 절차 수립과 실행 (개인정보 보호 등) 다양한 Database 환경에 대한 연구 개발 및 Knowledge 축적 이런 경험을 가진 분과 함께 성장하고 싶습니다! (필수요건) DynamoDB, MongoDB 등 최소 1개 이상의 NoSQL 환경 운영 경험 3년 이상 AWS, Azure, GCP 등 최소 1개 이상의 Public Cloud 환경 사용 경험 1년 이상 대용량, 고트래픽 환경에서 데이터베이스 스키마 설계 및 최적화 프로젝트 경험 클라우드 인프라 환경과 DevOps, SRE 방법론에 대한 이해 및 경험 게임 개발 Process 및 문화에 대한 이해 해외 출장에 결격 사유가 없는 분 이런 경험들이 있다면 저희가 찾는 그 분입니다! (우대요건) AWS DynamoDB 에 대한 이해와 운영 경험 RDB 에 대한 이해와 한 종류 이상의 RDB 운영 경험 자동화 도구 및 스크립팅 언어에 대한 경험 (예: Ansible, Terraform, Python 등) 모니터링 및 로깅 도구에 대한 경험 (예: Prometheus, ELK Stack 등) 대용량 데이터 처리 및 관리 경험과 데이터 마이그레이션 툴 사용 경험 크래프톤의 도전에 함께 하기 위해 아래의 전형 과정이 필요합니다. 서류 전형 > 사전 인터뷰 (Phone Interview) > 인성검사 (Personality Assessment) > 직무면접 (Technical Fit Interview) > 종합면접 (2-3회) (Culture Fit Interview) > 합격 및 입사 상시채용으로 우수 인재 채용 시 조기에 마감될 수 있습니다. 전형별 합격자에 대해 지원서에 등록하신 이메일 혹은 유선으로 개별 안내 드립니다. 전화 인터뷰의 경우, 필수 전형이 아닌 필요에 따라 진행되는 선택 전형임을 사전 안내 드립니다. 이에 대한 상세 내용은 개별 안내 드립니다. 필요 시 면접은 추가될 수 있으며, 이에 대한 상세 내용은 개별 안내 드립니다. 필요 서류를 확인해주세요! 입사지원서 (자유 양식), 자기소개서, 경력기술서, 포트폴리오(필) 이력서 및 경력기술서는 입증 가능한 사항만을 기재해 주십시오. 경력기술서 작성 시에는 지원자께서 직접 수행, 경험한 사항을 중심으로 기술해주시기 바랍니다. 포트폴리오 첨부 시, 하단 안내 사항을 확인해 주시기 바랍니다. 근무지 역삼 센터필드 East 타워 고용형태 정규직 아래 안내 사항을 확인해주세요! 장애인 및 국가 유공자 등 취업 보호 대상자는 관계 법령에 따라 우대합니다. 지원서 내용 중 허위사실이 있는 경우에는 합격이 취소될 수 있습니다. 5개월의 수습기간을 적용합니다. 회사는 수습기간에 대한 평가 결과에 따라 본채용을 거부할 수 있으며, 수습기간 중이라도 중간평가 결과에 따라 수습기간을 조기 종료하고 본채용을 거부할 수 있습니다. 수습기간 내 고용형태 및 급여 조정은 없습니다. 채용 전형 중 궁금하신 사항은 크래프톤 채용 FAQ 내에서 확인하실 수 있습니다. BE BOLD, LEARN AND WIN! 크래프톤의 성장과 도전의 스토리를 알아가고 싶다면? 크래프톤 제작 스튜디오 크래프톤 게임 크래프톤 비전 & 핵심가치 크래프톤 라이프 & 복리후생 크래프톤 공식 유튜브 채널 배틀그라운드 공식 유튜브 채널 크래프톤 인스타그램 크래프톤 블로그 Please check the information below Those eligible for an affirmative action program such as individuals with disabilities or with distinguished service to the state will be given hiring preference according to relevant laws False statements in your resume may lead to the withdrawal of the employment offer A 5-month probationary period applies. Based on the mid-term evaluation, employment may be terminated early or not continued. No changes in employment type or salary during this period. Please contact career@krafton.com for other inquiries BE BOLD, LEARN AND WIN! Would you like to explore KRAFTON’s growth and adventure stories? KRAFTON Production Studios KRAFTON Games KRAFTON Vision and Core Values KRAFTON Life & Welfare Benefits KRAFTON Youtube Channel BATTLEGROUNDS Youtube Channel KRAFTON Instagram KRAFTON Blog", "summaryDescription" : "Database Engineer at KRAFTON. Skills: Database operations, NoSQL, Public Cloud. Operate and manage database environments. Install databases", "postedDate" : "2026-06-11T22:02:35.271", "createdAt" : "2026-06-11T22:02:35.271", "lastUpdated" : "2026-06-14T22:14:57.233", "ingestTimestamp" : "2026-06-11T22:02:35.271", "mongoId" : "6a2a73b274d8ee00a0650c15", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Database operations", "Schema design", "Performance optimization", "Database security", "NoSQL", "Public Cloud", "Data Modeling", "Performance Tuning", "Database Security", "Cloud infrastructure", "DevOps methodology", "SRE methodology", "Game development process", "Ansible", "Terraform", "Python", "Prometheus", "ELK Stack" ], "skillCount" : 18, "jobCategory" : "other", "jobSubcategory" : "it-infra", "dataQualityScore" : 0.8888889, "_score" : 907.9833, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "69ce5df99bc74574cb671a58", "title" : "Software Engineer", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer in Austin, adjusted for government industry and full-time employment." }, "location" : "826632", "locations" : [ "826632", "
Austin:1411 Brazos (320TX-4000)
1411 Brazos St
Austin, 78701

" ], "timestamp" : "2026-06-15T05:10:56.794", "fingerprint" : "d4f74c70c4018f14152b69736c9ed64beb18b6f60c728a3e50ea8d7754834e11", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=33588", "externalId" : "33588", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, SQL, AWS, Docker, JPA, ORM, T-SQL, PL-SQL, Spring Suite, Angular, JSP, HTML, CSS, JQuery, Bootstrap, Hibernate, MyBatis, Cloudwatch, EC2, S3, Lambda, Serverless applications, Batch Processing", "professionalSkills" : [ "Problem solving", "Critical thinking", "Analytical skills", "System design", "Software development" ], "hardSkillsList" : [ "Automated systems development", "Software development lifecycle", "Database query optimization", "Stored procedure development" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Automated systems development", "level" : "intermediate" }, { "name" : "Software development lifecycle", "level" : "intermediate" }, { "name" : "Database query optimization", "level" : "intermediate" }, { "name" : "Stored procedure development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Java Development, SQL Development, AWS Cloud, Web Development", "majorSkillsList" : [ "Java Development", "SQL Development", "AWS Cloud", "Web Development" ], "coreResponsibilities" : "Perform senior-level automated systems development, Oversee software development activities, Design software solutions, Code software solutions, Test software solutions, Implement software solutions, Maintain software solutions, Diagnose problems with automated applications, Take corrective action, Write specifications for developing software, Write specifications for correcting software, Develop Java Applications, Test Java Applications, Develop SQL Stored procedures, Test SQL Stored procedures, Provide prompt feedback, Provide accurate feedback, Document requests for support, Track requests for support, Share knowledge base, Prioritize support requests, Manage support requests, Follow up on systems, Ensure systems are functional, Serve as backup to manager, Serve as backup to team members, Ensure compliance with laws, Ensure compliance with rules, Ensure compliance with policies, Ensure compliance with procedures, Contribute to teamwork, Communicate effectively, Perform other duties", "teamCollaboration" : "Contribute to teamwork; Communicate effectively", "projectManagementSkills" : [ "System development lifecycle" ], "domainKnowledge" : "Texas Workforce Commission programs; Federal laws; State laws; Agency policies; IT Handbook; SOPs", "domainList" : [ "texas-workforce-commission-programs", "federal-laws", "state-laws", "agency-policies", "it-handbook", "sops" ], "domainSpecificKnowledge" : [ "Texas Workforce Commission programs", "Federal laws", "State laws", "Agency policies", "IT Handbook", "SOPs" ], "toolProficiency" : [ "Micro-focus Octane", "Docker" ], "communicationSkills" : "Customer-focused communication; Written communication; Verbal communication; Technical documentation", "documentationSkills" : "Document requests for support; Document solutions; Prepare reports", "continuousLearning" : "Training and development opportunities", "problemSolvingSkills" : "Problem solving; Critical thinking; Analytical skills; Diagnose problems; Troubleshooting", "specialRequirements" : "Texas resident, Willing to relocate to Texas, Security sensitive position", "outcomesObjectives" : "Improve system performance; Improve system accuracy", "qualificationsBasic" : "Bachelor's degree in computer science, Two years of experience as developer, Six years of experience as developer, Four years of full-time experience, Five years of full-time experience, Knowledge of SDLC principles, Recent experience with Java, Recent experience with Web Development, Recent experience with JSP/HTML/CSS/JQuery, Recent experience in Angular, Recent experience with Spring Suite, Recent experience using SQL, Recent experience developing stored procedures, Recent experience Optimizing Database queries, Recent experience with JPA and ORM, Recent experience in AWS Cloud technologies, Recent experience with Docker, Recent experience with Batch Processing, Experience with building Accessible web Applications, Ability to accurately test software, Ability to effectively communicate, Skill in solving scheduling, Skill in troubleshooting computer software systems, Strong written communication skills, Strong verbal communication skills, Knowledge of Texas Workforce Commission programs", "qualificationsPreferred" : "Experience with Micro-focus Octane, Data driven development approach", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is based at 1411 Brazos Street, Austin in the Information Technology Division. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: Seeking an IT professional who possesses the skill to develop and test accessible Java applications. Demonstrated problem solving, critical thinking and analytical skills. Must have the ability to communicate in a professional, customer-focused manner. WHAT YOU WILL DO: The Programmer IV-V performs advanced to highly advanced (senior-level) computer programming work. Work involves overseeing programming projects, analyzing proposed applications and designing software solutions. May supervise the work of others. Works under minimal supervision, with considerable latitude for the use of initiative and independent judgment. Maintain a dependable work schedule and be available for occasional or regular work outside of standard business hours to ensure operational continuity and timely completion of critical tasks. YOU WILL BE TRUSTED TO: -Perform senior-level automated systems development work in support of Application Solutions software systems. -Perform or may oversee software development activities during all phases of the system development lifecycle (SDLC): design, code, test, implement, and maintain. -Diagnose problems with automated applications and takes corrective action. Writes specifications for developing or correcting software for handling highly complex policies / procedures to improve system performance and / or accuracy. -Develop and test SQL Stored procedures and Java Applications that meet design specifications, including accessibility and usability requirements. -Provide prompt and accurate feedback when issues arise. -Document and track requests for support, solutions and share knowledge base. -Prioritize and manage multiple support request at one time and follow up to ensure systems are fully functional after troubleshooting. -May serve as backup to the manager and other team members. -Ensure compliance with all Federal, State, and agency laws, rules, policies, and procedures including IT Handbook and SOPs that govern TWC IT. -Contribute to teamwork and communicate effectively. -Perform other duties as assigned. YOU ARE A GREAT FIT WITH: -Bachelor’s degree in computer science, computer information systems, management information systems or related field and two years of experience as a developer or six years of experience as a developer. -Knowledge of the Software Development Life Cycle (SDLC) principles, practices and techniques of application programming and software design. -Recent experience with Java. -Recent experience with Web Development. -Recent experience with JSP/HTML/CSS/JQuery/Bootstrap. -Recent experience in Angular. -Recent experience with Spring Suite (Spring Core, Spring IOC, Spring Batch, etc). -Recent experience using SQL (Structured Query Language). -Recent experience developing and maintaining stored procedures, T-SQL, PL-SQL, etc. -Recent experience Optimizing Database queries. -Recent experience with JPA and ORM technologies (Hibernate, MyBatis, etc). -Recent experience in AWS Cloud technologies including but not limited to Cloudwatch, EC2, S3, Lambda, and Serverless applications. -Recent experience with Docker. -Recent experience with Batch Processing. -Experience with building Accessible web Applications. -Experience with Micro-focus Octane. -Ability to accurately test software applications use a data driven development approach. -Ability to effectively communicate. -Skill in solving problems; in scheduling, testing, installing, and implementing programs; and in troubleshooting computer software systems. -Strong written and verbal communication skills to serve as a technical consultant to peers, clearly and accurately document relevant issues, and prepare accurate, concise, reliable reports. -Knowledge of Texas Workforce Commission programs. YOU QUALIFY WITH: -Programmer IV: Four years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field. -Programmer V: Five years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field. -Both Levels: Relevant academic credits may be applied toward experience qualifications for this position. YOU GAIN: -A Family Friendly Certified Workplace -Competitive starting salary: $6,073.00 - $7,900.00/ month -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_InformationTechnology.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Software Engineer at Texas Workforce Commission. Skills: Java Development, SQL Development, AWS Cloud, Web Development. Perform senior-level automated systems development. Oversee software development activities", "createdAt" : "2026-06-14T09:31:27.365", "lastUpdated" : "2026-06-15T05:10:56.794", "ingestTimestamp" : "2026-06-14T09:31:27.365", "mongoId" : "69ce5df99bc74574cb671a58", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Automated systems development", "Software development lifecycle", "Database query optimization", "Stored procedure development", "Critical thinking", "Java Development", "SQL Development", "AWS Cloud", "Web Development", "Problem solving", "Analytical skills", "System design", "Software development", "System development lifecycle", "Texas Workforce Commission programs", "Federal laws", "State laws", "Agency policies", "IT Handbook", "SOPs", "Micro-focus Octane", "Docker" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 902.73517, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a8fec74d8ee00a068a6b7", "title" : "Mathematics AI Training Expert - PhD - (Turkey)", "industry" : "STEM ", "salary" : { "min" : 40.0, "max" : 40.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Turkey", "locations" : [ "Turkey" ], "timestamp" : "2026-06-14T03:51:08.434", "fingerprint" : "cceb4c44a56b904d28fe0bbf788f59a0985785aa200514e5fefef429ad6b91aa", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/b7d981de-184e-44b4-9334-a300c8416b3d/application", "externalId" : "b7d981de-184e-44b4-9334-a300c8416b3d", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "minimumEducation" : "PhD", "technicalSkills" : "Python, numpy, scipy, pandas", "professionalSkills" : [ "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics", "Technical writing" ], "hardSkillsList" : [ "Mathematical reasoning", "Computational workflows" ], "hardSkills" : [ { "name" : "Mathematical reasoning", "level" : "intermediate" }, { "name" : "Computational workflows", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI training, Problem design", "majorSkillsList" : [ "Mathematics", "AI training", "Problem design" ], "coreResponsibilities" : "Design advanced mathematical problems, Create deterministic problems, Write complete solutions, Document reasoning process, Develop problems testing reasoning, Build computational workflows, Ensure outputs are precise, Ensure outputs are reproducible, Ensure outputs are well-written", "domainKnowledge" : "Frontier AI models; Mathematical reasoning", "domainList" : [ "frontier-ai-models", "mathematical-reasoning" ], "domainSpecificKnowledge" : [ "Frontier AI models", "Mathematical reasoning" ], "communicationSkills" : "Technical writing", "documentationSkills" : "Document reasoning process", "problemSolvingSkills" : "Mathematical reasoning", "qualificationsBasic" : "Master's or PhD in Mathematics, Research experience, Industry experience, Mathematical modeling experience, Proof-based reasoning experience, Applied mathematics experience, Computational mathematics experience, Python comfort, Solid grasp of algorithms, Solid grasp of numerical methods, Solid grasp of computational approaches, Ability to design original problems, Excellent attention to detail, Technical writing skills in English", "qualificationsPreferred" : "Experience with symbolic math systems, Experience with theorem provers, Experience with optimization solvers, Experience with mathematical software, Olympiad-level problem design background, Graduate-level problem design background, Research-level problem design background, Experience evaluating model reasoning, Experience benchmarking model reasoning, Experience with technical assessment design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. - Location: Remote - Type: Contract / Part-time - Commitment: 20 hours per week - Compensation: Up to 40 USD / hr - Project duration: 2 months, with potential extension - Availability: Immediate start ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (Turkey). Skills: Mathematics, AI training, Problem design. Design advanced mathematical problems. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. 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Skills: Mathematics, AI training, Problem design. Design advanced mathematical problems. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. 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"frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Software Engineer in Makati City, Philippines, adjusted for the FinTech industry." }, "location" : "Makati City, National Capital Region, PH", "locations" : [ "Makati City", "National Capital Region", "PH" ], "timestamp" : "2026-06-14T22:42:24.421", "fingerprint" : "2fcf69b0d4cec2120c74bb9bd7a440e18b740047b45c8e117c6ec2738c29547e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Avaloq1/744000131593129-software-engineer-", "externalId" : "744000131593129", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Makati City", "state" : "National Capital Region", "country" : "Philippines", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "14.5567949,121.0211226" } ], "locationText" : "Makati City, National Capital Region, Philippines", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "PL/SQL, SQL, Oracle Database, ETL, Java, Python, C#, PDF, HTML, XML, Git, Bitbucket", "professionalSkills" : [ "Data archiving", "Output management", "System integration", "Data extraction", "Document generation", "Client communication management" ], "hardSkillsList" : [ "Stored procedures", "Functions", "Packages", "Complex SQL queries", "Database design", "Data modeling", "Performance tuning", "Optimization techniques", "Data retention strategies", "ETL processes", "Document generation", "Templating technologies" ], "hardSkills" : [ { "name" : "Stored procedures", "level" : "intermediate" }, { "name" : "Functions", "level" : "intermediate" }, { "name" : "Packages", "level" : "intermediate" }, { "name" : "Complex SQL queries", "level" : "intermediate" }, { "name" : "Database design", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Performance tuning", "level" : "intermediate" }, { "name" : "Optimization techniques", "level" : "intermediate" }, { "name" : "Data retention strategies", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Document generation", "level" : "intermediate" }, { "name" : "Templating technologies", "level" : "intermediate" } ], "majorSkills" : "PL/SQL, Data extraction, Output management, ETL", "majorSkillsList" : [ "PL/SQL", "Data extraction", "Output management", "ETL" ], "coreResponsibilities" : "Design PL/SQL stored procedures, Develop PL/SQL stored procedures, Maintain PL/SQL stored procedures, Design PL/SQL functions, Develop PL/SQL functions, Maintain PL/SQL functions, Design PL/SQL packages, Develop PL/SQL packages, Maintain PL/SQL packages, Implement data archiving strategies, Maintain data archiving strategies, Develop ETL processes, Maintain ETL processes, Design data extraction pipelines, Implement data extraction pipelines, Maintain data extraction pipelines, Develop automated processes, Maintain automated processes, Generate advice, Generate reports, Generate layout statements, Collaborate with business analysts, Collaborate with product owners, Collaborate with client service teams, Collaborate with technical teams, Define output requirements, Ensure timely delivery, Ensure accurate delivery, Ensure consistent delivery, Optimize database performance, Optimize output generation performance, Improve query writing, Improve indexing, Improve scalability, Improve maintainable design, Monitor database issues, Troubleshoot database issues, Resolve database issues, Monitor ETL issues, Troubleshoot ETL issues, Resolve ETL issues, Monitor ACP extraction issues, Troubleshoot ACP extraction issues, Resolve ACP extraction issues, Monitor output issues, Troubleshoot output issues, Resolve output issues, Participate in code reviews, Contribute to development standards, Contribute to best practices, Contribute to technical documentation, Document technical specifications, Document workflows, Document processes, Document best practices, Stay up to date with trends, Stay up to date with tools, Stay up to date with technologies", "teamCollaboration" : "Business analysts; Product owners; Client service teams; Cross-functional technical teams", "domainKnowledge" : "Wealth management technology; Financial ecosystem; Output management; Data archiving; Client communication management", "domainList" : [ "wealth-management-technology", "financial-ecosystem", "output-management", "data-archiving", "client-communication-management" ], "domainSpecificKnowledge" : [ "Wealth management technology", "Financial ecosystem", "Output management", "Data archiving", "Client communication management" ], "toolProficiency" : [ "ACP", "Git", "Bitbucket" ], "communicationSkills" : "Client-facing documents; Client communication management", "documentationSkills" : "Technical documentation; Technical specifications; Workflows; Processes; Best practices", "innovationCreativity" : "Continual innovation", "problemSolvingSkills" : "Analytical; Troubleshooting; Problem-solving", "outcomesObjectives" : "Accurate data extraction; Transformed data presentation; Client-friendly format; Compliant format; Timely delivery of client communications; Accurate delivery of client communications; Consistent delivery of client communications", "qualificationsBasic" : "1-2 years software engineering experience, 1-2 years database development experience, 1-2 years data integration experience, Proficiency in PL/SQL development, Design stored procedures, Design functions, Design packages, Design complex SQL queries, Oracle Database technologies knowledge, Database design knowledge, Data modeling knowledge, Performance tuning knowledge, Optimization techniques knowledge, Database archiving experience, Data retention strategies experience, Output management experience, System integration experience, Develop ETL processes, Maintain ETL processes, Programming skills in Java, Programming skills in Python, Programming skills in C#, Experience with document generation technologies, Experience with templating technologies, Familiarity with Git, Familiarity with Bitbucket, Analytical skills, Troubleshooting skills, Problem-solving skills, Attention to detail, Effective communication skills, Stakeholder management skills", "qualificationsPreferred" : "ACP experience, Avaloq Core Platform experience, Client Communication Management solutions experience, Quadient Inspire experience, Assentis CCM experience, CSF experience, Financial services knowledge, Banking operations knowledge, Client reporting knowledge, Regulatory reporting standards knowledge, OpenShift familiarity, Cloud-native platforms familiarity, Containerized application environments familiarity, Data warehousing concepts understanding, Data governance understanding, Enterprise integration patterns understanding, Agile development methodologies exposure, DevOps practices exposure, Avaloq banking products knowledge, Avaloq output management solutions knowledge, Avaloq client communication processes knowledge", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 160 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world’s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. We are looking for a highly motivated Software Engineer to join our Output & Security team in the Platform Solution APAC & UK domain for our MNL office, with a specialized focus on data extraction using ACP (Avaloq Core Platform) and the generation of client-facing documents , such as advice and layout statements. This role is critical in ensuring that complex financial or operational data is accurately extracted, transformed, and presented in a clear, compliant, and client-friendly format. Key Responsibilities * Design, develop, and maintain PL/SQL stored procedures, functions, and packages to support data archiving, output management, and system integration requirements. * Implement and maintain data archiving strategies to ensure long-term data accessibility, storage optimization, and compliance with retention requirements. * Develop and maintain ETL processes for data migration, transformation, and integration across internal and external systems. * Design, implement, and maintain data extraction pipelines using ACP to retrieve structured and unstructured data from internal systems. * Develop and maintain automated processes for generating advice, reports, and layout statements for client communication management. * Collaborate with business analysts, product owners, client service teams, and cross-functional technical teams to define output requirements and ensure alignment with business objectives. * Ensure accurate, consistent, and timely delivery of client communications, including formatting, branding, localization, and data integrity. * Optimize database and output generation performance through efficient query writing, indexing, scalability improvements, and maintainable design. * Monitor, troubleshoot, and resolve database, ETL, ACP extraction, and output-related issues in a timely manner. * Participate in code reviews and contribute to the continuous improvement of development standards, best practices, and technical documentation. * Document technical specifications, workflows, processes, and best practices related to PL/SQL development, data archiving, ETL, ACP extraction, and output generation. * Stay up to date with the latest trends, tools, and technologies in database management, data integration, and client communication management ## Qualifications * Bachelor’s degree in computer science, Information Technology, Information Systems, Software Engineering, or a related discipline. * 1-2 years of hands-on experience in software engineering, database development, or data integration, with a strong focus on data extraction, document generation, and output management. * Strong proficiency in PL/SQL development, including the design and development of stored procedures, functions, packages, and complex SQL queries. * Extensive knowledge of Oracle Database technologies, database design, data modeling, performance tuning, and optimization techniques. * Experience in database archiving, data retention strategies, output management, and system integration. * Experience developing and maintaining ETL processes for data migration, transformation, and integration. * Strong programming skills in at least one modern programming language such as Java, Python, or C#. * Experience working with document generation and templating technologies, including PDF, HTML, XML, and related output formatting frameworks. * Familiarity with version control systems such as Git or Bitbucket. * Strong analytical, troubleshooting, and problem-solving skills with excellent attention to detail. * Effective communication and stakeholder management skills, with the ability to collaborate across business and technical teams. Preferred Qualifications * Hands-on experience with ACP (Avaloq Core Platform) or similar data extraction and reporting frameworks. * Experience with Client Communication Management (CCM) solutions such as Quadient Inspire, Assentis CCM, CSF, or equivalent platforms. * Knowledge of financial services, banking operations, client reporting, or regulatory reporting standards. * Familiarity with OpenShift, cloud-native platforms, and containerized application environments. * Understanding of data warehousing concepts, data governance, and enterprise integration patterns. * Exposure to Agile development methodologies and DevOps practices. * Knowledge of Avaloq banking products, output management solutions, and client communication processes would be highly advantageous. ## Additional Information We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations. #hybrid", "summaryDescription" : "Software Engineer at Avaloq. Skills: PL/SQL, Data extraction, Output management, ETL. Design PL/SQL stored procedures. Develop PL/SQL stored procedures", "postedDate" : "2026-06-11T06:02:56.000", "createdAt" : "2026-06-12T00:57:05.055", "lastUpdated" : "2026-06-14T22:42:24.421", "ingestTimestamp" : "2026-06-12T00:57:05.055", "mongoId" : "6a2a60a974d8ee00a0620329", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Stored procedures", "Functions", "Packages", "Complex SQL queries", "Database design", "Data modeling", "Performance tuning", "Optimization techniques", "Data retention strategies", "ETL processes", "Document generation", "Templating technologies", "PL/SQL", "Data extraction", "Output management", "ETL", "Data archiving", "System integration", "Client communication management", "Wealth management technology", "Financial ecosystem", "ACP", "Git", "Bitbucket" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "Service Operations", "dataQualityScore" : 1.0, "_score" : 891.4277, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a2a8fec74d8ee00a068a6b2", "title" : "Mathematics AI Training Expert - PhD", "industry" : "STEM ", "salary" : { "min" : 40.0, "max" : 40.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Estonia", "locations" : [ "Estonia" ], "timestamp" : "2026-06-14T22:14:57.200", "fingerprint" : "1b2c9d4ac0c77102b7b46b15101f165a9e87bf5ad27d7d345ea5759f0abdcfd3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/d4cb134b-6f86-474b-891c-5bf646609e71/application", "externalId" : "d4cb134b-6f86-474b-891c-5bf646609e71", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "minimumEducation" : "Master's", "technicalSkills" : "Python, numpy, scipy, pandas", "professionalSkills" : [ "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics" ], "hardSkillsList" : [ "Numerical methods", "Computational approaches" ], "hardSkills" : [ { "name" : "Numerical methods", "level" : "intermediate" }, { "name" : "Computational approaches", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI Training, Problem Design", "majorSkillsList" : [ "Mathematics", "AI Training", "Problem Design" ], "coreResponsibilities" : "Design advanced mathematical problems, Create deterministic problems, Write complete solutions, Document the reasoning process, Develop problems testing mathematical reasoning, Use Python to build workflows, Use specialized tools to build workflows, Ensure outputs are technically precise, Ensure outputs are reproducible, Ensure outputs are well-written", "domainKnowledge" : "Frontier AI models; Model reasoning", "domainList" : [ "frontier-ai-models", "model-reasoning" ], "domainSpecificKnowledge" : [ "Frontier AI models", "Model reasoning" ], "communicationSkills" : "Technical writing", "documentationSkills" : "Documentation of reasoning process", "problemSolvingSkills" : "Mathematical reasoning", "outcomesObjectives" : "Design problems with one correct answer; Submit problems with verified solutions", "qualificationsBasic" : "Master's or PhD in Mathematics, Research or industry experience, Python comfort, Solid grasp of algorithms, Ability to design original problems, Excellent attention to detail, Technical writing skills in English", "qualificationsPreferred" : "Experience with symbolic math systems, Experience with theorem provers, Experience with optimization solvers, Experience with other mathematical software, Background in olympiad-level problem design, Background in graduate-level problem design, Background in research-level problem design, Experience evaluating model reasoning, Experience benchmarking model reasoning, Experience with technical assessment design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. - Location: Remote - Type: Contract / Part-time - Commitment: 20 hours per week - Compensation: Up to 40 USD / hr - Project duration: 2 months, with potential extension - Availability: Immediate start ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD. Skills: Mathematics, AI Training, Problem Design. Design advanced mathematical problems. Create deterministic problems", "postedDate" : "2026-06-11T20:57:59.414", "createdAt" : "2026-06-11T20:57:59.414", "lastUpdated" : "2026-06-14T22:14:57.200", "ingestTimestamp" : "2026-06-11T20:57:59.414", "mongoId" : "6a2a8fec74d8ee00a068a6b2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 40, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Numerical methods", "Computational approaches", "Mathematics", "AI Training", "Problem Design", "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics", "Frontier AI models", "Model reasoning" ], "skillCount" : 11, "jobCategory" : "other", "jobSubcategory" : "stem-", "dataQualityScore" : 0.7777778, "_score" : 890.1047, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a8fec74d8ee00a068a6b5", "title" : "Mathematics AI Training Expert - PhD - (France)", "industry" : "STEM ", "salary" : { "min" : 40.0, "max" : 40.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "France", "locations" : [ "France" ], "timestamp" : "2026-06-14T21:48:24.324", "fingerprint" : "7ab98bded2ddd36e7f549e62fc8393403a72952368eff36443dabf9bc3887051", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/fe0b2747-22df-4fd5-84b1-681e30fb8698/application", "externalId" : "fe0b2747-22df-4fd5-84b1-681e30fb8698", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "minimumEducation" : "PhD", "technicalSkills" : "Python, numpy, scipy, pandas", "professionalSkills" : [ "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics" ], "hardSkillsList" : [ "Mathematical reasoning", "Computational workflows" ], "softSkillsList" : [ "Attention to detail" ], "hardSkills" : [ { "name" : "Mathematical reasoning", "level" : "intermediate" }, { "name" : "Computational workflows", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Attention to detail" } ], "majorSkills" : "Mathematics, AI Training, Problem Design", "majorSkillsList" : [ "Mathematics", "AI Training", "Problem Design" ], "coreResponsibilities" : "Design advanced mathematical problems, Create deterministic problems, Write complete solutions, Document the reasoning process, Develop problems testing reasoning, Build computational workflows, Ensure outputs are technically precise, Ensure outputs are reproducible, Ensure outputs are well-written", "domainKnowledge" : "Frontier AI models; Technical domains; Deep mathematical reasoning", "domainList" : [ "frontier-ai-models", "technical-domains", "deep-mathematical-reasoning" ], "domainSpecificKnowledge" : [ "Frontier AI models", "Technical domains", "Deep mathematical reasoning" ], "communicationSkills" : "Technical writing", "documentationSkills" : "Document reasoning process", "innovationCreativity" : "Design original problems", "problemSolvingSkills" : "Mathematical reasoning", "qualificationsBasic" : "Master's or PhD in Mathematics, Research or industry experience, Mathematical modeling experience, Proof-based reasoning experience, Applied mathematics experience, Computational mathematics experience, Python comfort, Solid grasp of algorithms, Solid grasp of numerical methods, Solid grasp of computational approaches, Ability to design original problems, Technical writing skills in English", "qualificationsPreferred" : "Experience with symbolic math systems, Experience with theorem provers, Experience with optimization solvers, Experience with mathematical software, Background in olympiad-level problem design, Background in graduate-level problem design, Background in research-level problem design, Experience evaluating model reasoning, Experience benchmarking model reasoning, Experience with technical assessment design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. - Location: Remote - Type: Contract / Part-time - Commitment: 20 hours per week - Compensation: Up to 40 USD / hr - Project duration: 2 months, with potential extension - Availability: Immediate start ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (France). Skills: Mathematics, AI Training, Problem Design. Design advanced mathematical problems. Create deterministic problems", "postedDate" : "2026-06-11T20:54:52.774", "createdAt" : "2026-06-11T20:54:52.774", "lastUpdated" : "2026-06-14T21:48:24.324", "ingestTimestamp" : "2026-06-11T20:54:52.774", "mongoId" : "6a2a8fec74d8ee00a068a6b5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 40, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Mathematical reasoning", "Computational workflows", "Attention to detail", "Mathematics", "AI Training", "Problem Design", "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics", "Frontier AI models", "Technical domains", "Deep mathematical reasoning" ], "skillCount" : 13, "jobCategory" : "other", "jobSubcategory" : "stem-", "dataQualityScore" : 0.7777778, "_score" : 889.998, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a8fed74d8ee00a068a6c8", "title" : "Mathematics AI Training Expert - PhD - (Uruguay)", "industry" : "STEM ", "salary" : { "min" : 40.0, "max" : 40.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Uruguay", "locations" : [ "Uruguay" ], "timestamp" : "2026-06-13T21:49:13.649", "fingerprint" : "72184a645b6af2c7a35237e6f201fbdeb214831eb22d6f3abbfe1c5b8c94859d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/cf96e1d6-6585-4f1f-b912-4ee08fbe06d6/application", "externalId" : "cf96e1d6-6585-4f1f-b912-4ee08fbe06d6", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "minimumEducation" : "PhD", "technicalSkills" : "Python, numpy, scipy, pandas", "professionalSkills" : [ "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics" ], "hardSkillsList" : [ "Mathematical reasoning", "Technical writing" ], "hardSkills" : [ { "name" : "Mathematical reasoning", "level" : "intermediate" }, { "name" : "Technical writing", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI Training, Problem Design", "majorSkillsList" : [ "Mathematics", "AI Training", "Problem Design" ], "coreResponsibilities" : "Design advanced mathematical problems, Create deterministic problems, Write complete solutions, Document reasoning process, Develop problems testing mathematical reasoning, Use Python for workflows, Build computational workflows, Ensure outputs are technically precise, Ensure outputs are reproducible, Ensure outputs are well-written", "domainKnowledge" : "Frontier AI models; Mathematical reasoning", "domainList" : [ "frontier-ai-models", "mathematical-reasoning" ], "domainSpecificKnowledge" : [ "Frontier AI models", "Mathematical reasoning" ], "communicationSkills" : "Technical writing", "documentationSkills" : "Document reasoning process", "problemSolvingSkills" : "Problem design", "qualificationsBasic" : "Master's or PhD in Mathematics, Research or industry experience, Mathematical modeling experience, Proof-based reasoning experience, Applied mathematics experience, Computational mathematics experience, Python comfort, Solid grasp of algorithms, Solid grasp of numerical methods, Solid grasp of computational approaches, Excellent attention to detail, Technical writing skills in English", "qualificationsPreferred" : "Experience with symbolic math systems, Experience with theorem provers, Experience with optimization solvers, Experience with mathematical software, Background in olympiad-level problem design, Background in graduate-level problem design, Background in research-level problem design, Experience evaluating model reasoning, Experience benchmarking model reasoning, Experience with technical assessment design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. - Location: Remote - Type: Contract / Part-time - Commitment: 20 hours per week - Compensation: Up to 40 USD / hr - Project duration: 2 months, with potential extension - Availability: Immediate start ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (Uruguay). Skills: Mathematics, AI Training, Problem Design. Design advanced mathematical problems. Create deterministic problems", "postedDate" : "2026-06-11T20:32:09.715", "createdAt" : "2026-06-11T20:32:09.715", "lastUpdated" : "2026-06-13T21:49:13.649", "ingestTimestamp" : "2026-06-11T20:32:09.715", "mongoId" : "6a2a8fed74d8ee00a068a6c8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 40, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Mathematical reasoning", "Technical writing", "Mathematics", "AI Training", "Problem Design", "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics", "Frontier AI models" ], "skillCount" : 10, "jobCategory" : "other", "jobSubcategory" : "stem-", "dataQualityScore" : 0.7777778, "_score" : 889.2164, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 104996, "totalPages" : 2100, "hasNext" : true, "hasPrevious" : false } }

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