{ "count" : 108305, "data" : [ { "id" : "6a2cb05374d8ee00a09d9a2d", "title" : "Software Engineering Intern (Backend)", "company" : "Terminal", "industry" : "Engineering", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Software Engineering Intern in Toronto, Canada, adjusted for the technology industry and company size." }, "location" : "\uD83D\uDCCD Toronto, ON", "locations" : [ "\uD83D\uDCCD Toronto, ON" ], "timestamp" : "2026-06-15T07:44:51.311", "fingerprint" : "59fe74d61f595830bd982a342045521bbcc8d80dc8f2f19afd2f67f1eee1b818", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/terminal/6855293e-a817-4b70-835c-cd57e3bfcfde/application", "externalId" : "6855293e-a817-4b70-835c-cd57e3bfcfde", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Node.js, Express, Python, FastAPI, TypeScript, AWS, GCP, Azure, DynamoDB, S3, Redis, Apache Iceberg, Lambda, Step Functions, SQS, SST, Pulumi, GitHub Actions", "professionalSkills" : [ "System design", "Data ingestion", "API integration" ], "hardSkillsList" : [ "Data structures", "Algorithms", "System design", "Server-side development", "Data ingestion", "API integration" ], "hardSkills" : [ { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Server-side development", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" } ], "majorSkills" : "Backend development, Data ingestion, API development", "majorSkillsList" : [ "Backend development", "Data ingestion", "API development" ], "coreResponsibilities" : "Integrate telematics data sources, Expand telematics data sources, Build data ingestion infrastructure, Optimize data ingestion infrastructure, Improve core product, Improve API, Participate in code reviews, Learn best practices, Support customers, Engage with customers, Support partners, Engage with partners, Collaborate with teams, Understand requirements, Deliver solutions", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Telematics data; Distributed systems; Large-scale data systems; High-volume data; API integration", "domainList" : [ "telematics-data", "distributed-systems", "large-scale-data-systems", "high-volume-data", "api-integration" ], "domainSpecificKnowledge" : [ "Telematics data", "Distributed systems", "Large-scale data systems", "High-volume data", "API integration" ], "toolProficiency" : [ "Node.js", "Express", "Python", "FastAPI", "TypeScript", "DynamoDB", "S3", "Redis", "Apache Iceberg", "Lambda", "Step Functions", "SQS", "SST", "Pulumi", "GitHub Actions" ], "continuousLearning" : "Learn best practices", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "4-12 month internship, On-site in Toronto", "qualificationsBasic" : "Understanding of software patterns, Understanding of data structures, Understanding of algorithms, Understanding of basic system design, Experience with Node.js/Express, Experience with Python/FastAPI, Curious about customer-facing products, Curious about large-scale data systems, Problem-solving skills, Eagerness to learn, Able to work collaboratively", "qualificationsPreferred" : "Coursework in software architecture, Coursework in distributed systems, Coursework in databases, Projects in software architecture, Projects in distributed systems, Projects in databases, Web server development projects, API integration projects, Exposure to AWS, Exposure to GCP, Exposure to Azure, Exposure to TypeScript, Exposure to Node.js", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT TERMINAL Terminal is Plaid for Telematics in commercial trucking. Companies building the next generation of insurance products, financial services and fleet software for trucking use our Universal API to access GPS data, speeding data and vehicle stats. We are a fast-growing, venture-backed startup supported by top investors including Y Combinator, Golden Ventures and Wayfinder Ventures. Our exceptionally talented team is based in Toronto, Canada. For more info, check out our website: https://withterminal.com Note: This role is only available to Toronto/GTA-based candidates ABOUT THE ROLE We're looking for a software engineering intern who's excited to tackle complex backend challenges. This is an opportunity to work on real production systems, contributing to the integration platform that powers Terminal's API through high-scale data ingestion, and the core product features that our customers depend on. You'll work closely with our senior software engineers, contributing to projects that directly impact how we process and deliver high-volume telematics data to our customers. WHAT YOU WILL DO - Integrate new telematics data sources into our platform, and expand existing ones - Help build and optimize our internal distributed data ingestion infrastructure - Improve the core product and API to create more value for our customers - Participate in code reviews and learn best practices for writing clean, maintainable code - Directly support and engage with our customers and partners - Collaborate with cross-functional teams to understand requirements and deliver solutions - Gain hands-on experience with modern software engineering technologies and AI tools ABOUT YOU - Available for a 4-12 month internship on-site at our office in downtown Toronto, starting this upcoming fall or winter term - Currently pursuing an undergraduate degree in Computer Science or a related field - Completed at least 2 full years of undergrad (3rd+ year) - Completed at least 1 prior professional software internship REQUIRED QUALIFICATIONS - Understanding of software patterns, data structures, algorithms, and basic system design - Experience with a server-side framework like Node.js/Express or Python/FastAPI - Curious about customer-facing products and large-scale data systems - Strong problem-solving skills and eagerness to learn - Able to work collaboratively in a team environment BONUS POINTS - Coursework or projects involving software architecture, distributed systems, or databases - Personal or academic projects involving web server development or API integration - Exposure to cloud platforms (AWS, GCP, or Azure) - Exposure to TypeScript and Node.js TECHNOLOGIES YOU’LL LEARN - Language: TypeScript (Node.js) - Storage: AWS DynamoDB, AWS S3, Redis, Apache Iceberg - Serverless: AWS Lambda, AWS Step Functions, AWS SQS - Infrastructure as Code: SST, Pulumi - CI/CD: GitHub Actions THE INTERVIEW PROCESS 1. Coding Challenge (30 min) + Project Showcase (30 min) 2. Cultural Loop (60 min)", "summaryDescription" : "Software Engineering Intern (Backend) at Terminal. Skills: Backend development, Data ingestion, API development. Integrate telematics data sources. Expand telematics data sources", "createdAt" : "2026-06-13T22:20:52.940", "lastUpdated" : "2026-06-15T07:44:51.311", "ingestTimestamp" : "2026-06-13T22:20:52.940", "mongoId" : "6a2cb05374d8ee00a09d9a2d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data structures", "Algorithms", "System design", "Server-side development", "Data ingestion", "API integration", "Backend development", "API development", "Telematics data", "Distributed systems", "Large-scale data systems", "High-volume data", "Node.js", "Express", "Python", "FastAPI", "TypeScript", "DynamoDB", "S3", "Redis", "Apache Iceberg", "Lambda", "Step Functions", "SQS", "SST", "Pulumi", "GitHub Actions" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e41bf8b1b0376634c443", "title" : "Software Development Graduate (2026, AWS)", "company" : "Amazon Support Services Pty Ltd", "industry" : "Software Development, studentprograms", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level software development roles in Sydney, Australia, adjusted for the technology industry and Amazon's company size." }, "location" : "Sydney, New South Wales, AUS", "locations" : [ "Sydney, New South Wales, AUS" ], "timestamp" : "2026-06-15T04:14:11.507", "fingerprint" : "76bdd308588e74fe274e61716cba665f8863131a20da61ea5e5afba529a018de", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078383/apply", "externalId" : "74fadabd-affc-4aa0-9c0e-89443fba83f0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sydney", "state" : "New South Wales", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-33.8698439,151.2082848" } ], "locationText" : "Sydney, New South Wales, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "C++, Java, UNIX, Linux, Perl, AWS", "professionalSkills" : [ "Object-oriented design", "Optimization mathematics", "Technical articulation" ], "hardSkillsList" : [ "Object-oriented design", "Optimization mathematics", "Distributed systems", "Algorithms", "Relational databases" ], "hardSkills" : [ { "name" : "Object-oriented design", "level" : "intermediate" }, { "name" : "Optimization mathematics", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Relational databases", "level" : "intermediate" } ], "majorSkills" : "Software Development, Object-oriented design, Distributed systems", "majorSkillsList" : [ "Software Development", "Object-oriented design", "Distributed systems" ], "coreResponsibilities" : "Own development of software end to end, Work with stakeholders on requirements, Own ongoing operations of software, Build global software at scale, Solve challenging problems, Experiment and learn from successes and failures, Build software for customers", "teamCollaboration" : "Work with a global team; Work with teammates", "domainKnowledge" : "Distributed systems; Algorithms; Relational databases; Optimization mathematics", "domainList" : [ "distributed-systems", "algorithms", "relational-databases", "optimization-mathematics" ], "domainSpecificKnowledge" : [ "Distributed systems", "Algorithms", "Relational databases", "Optimization mathematics" ], "communicationSkills" : "Articulate technical challenges", "continuousLearning" : "Learning on the go", "innovationCreativity" : "Innovative software solutions", "problemSolvingSkills" : "Solving challenging problems; Think abstractly", "outcomesObjectives" : "Build great shopping experience; Have a global impact; Build global software; Build great software", "qualificationsBasic" : "Final semester/trimester of university undergraduate or postgraduate degree, Completed university studies within past 24 months, Commence role Dec 2025 to Apr 2026, Degree in Computer Science, Computer Engineering, or Information Technology, Object-oriented design and coding skills, Experience with distributed systems, Experience with algorithms, Experience with relational databases, Experience in optimization mathematics, Effectively articulate technical challenges and solutions, Deal well with ambiguous/undefined, Ability to think abstractly", "qualificationsPreferred" : "Developing in Linux environment, Developing software on AWS platforms, Knowledge of Perl or other scripting languages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is looking for passionate Graduate Software Development Engineers (SDEs) to join our team ASAP. Amazon/ AWS offers a unique, inclusive work environment where you’ll be able to work on the A to Z of problems, at scale, for real customers. You’ll join a team solving challenging problems with innovative software solutions, building global software at scale every day and having a ton of fun while you do it. We are a group of engineers that values diversity and collaboration to help each other succeed as a team. Bring your experiences, perspectives and skills to help build a great shopping experience for customers all around the world. We're looking for developers with a passion for solving challenging problems, learning on the go and working with teammates to have a global impact. Key job responsibilities You will own the development of software end to end, from working with stakeholders on requirements through to owning the ongoing operations of the software that you build at scale. You will work with a great, global team to tackle new challenges. You will have the opportunity to experiment and learn from your successes and your failures. Apply today to join our incredible team building software for our customers around the world. Have fun and build great software! Basic Qualifications: • You must be in the final semester/ trimester of a university undergraduate or postgraduate degree , or have completed your university studies within the past 24 months of applying (Dec 2023 - Dec 2025) • Able to commence a role from December 2025 to April 2026. • Enrolled/Completed a degree in Computer Science, Computer Engineering, Information Technology at university or relevant tertiary institution • Strong, object-oriented design and coding skills (C/C++ and/or Java preferably on a UNIX or Linux platform) • Knowledge of Perl or other scripting languages a plus • Experience with distributed (multi-tiered) systems, algorithms, and relational databases • Experience in optimization mathematics (linear programming, nonlinear optimization) • Ability to effectively articulate technical challenges and solutions • Deal well with ambiguous/undefined problems; ability to think abstractly Preferred Qualifications: Experience developing in a Linux environment • Experience developing software on Amazon Web Services (AWS) platforms Acknowledgement of country: In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today. IDE statement: 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" : "Software Development Graduate (2026, AWS) at Amazon Support Services Pty Ltd. Skills: Software Development, Object-oriented design, Distributed systems. Own development of software end to end. Work with stakeholders on requirements", "postedDate" : "2026-06-13T05:28:52.400", "createdAt" : "2026-06-13T05:28:52.400", "lastUpdated" : "2026-06-15T04:14:11.507", "ingestTimestamp" : "2026-06-13T05:28:52.400", "mongoId" : "68c2e41bf8b1b0376634c443", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078383/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Object-oriented design", "Optimization mathematics", "Distributed systems", "Algorithms", "Relational databases", "Software Development", "Technical articulation" ], "skillCount" : 7, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c6af174d8ee00a090f4ef", "title" : "Backend Development Engineer Intern", "company" : "Bybit", "industry" : "FinTech", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "HKD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Entry-level Backend Development Engineer Interns in Hong Kong's FinTech industry, adjusted for seniority and company size." }, "location" : "Hong Kong", "locations" : [ "Hong Kong", "Kuala Lumpur Tech Office", "Remote General (Non-EU)" ], "timestamp" : "2026-06-15T10:21:22.390", "fingerprint" : "91f78a48ff00ef9ff0477611ca88566724e2ee963bf63b1652f57a4feeedf8fc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/bybit/jobs/4871427101", "externalId" : "4871427101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hong Kong", "country" : "Hong Kong", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "22.2818333,114.1582831" } ], "locationText" : "Hong Kong, Hong Kong", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Golang, Java, C++, C, SQL", "professionalSkills" : [ "Technical solutions", "Product performance", "System optimization", "Architectural upgrades", "Platform capabilities", "Reusable component frameworks" ], "hardSkillsList" : [ "Data structures", "Coding ability" ], "softSkillsList" : [ "Logical thinking", "Embrace new challenges" ], "hardSkills" : [ { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Coding ability", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Logical thinking" }, { "name" : "Embrace new challenges" } ], "majorSkills" : "Backend Development, Software Engineering", "majorSkillsList" : [ "Backend Development", "Software Engineering" ], "coreResponsibilities" : "Execute high-quality code writing, Deliver technical solutions on schedule, Meet all requirements, Spearhead initiatives for product performance enhancement, Spearhead initiatives for system optimization, Tackle complex technical challenges, Lead architectural upgrades, Contribute to platform capabilities accumulation, Contribute to reusable component frameworks accumulation", "teamCollaboration" : "Global collaboration; Diverse international team; Internal events; Team-building activities; Workshops; Events", "domainKnowledge" : "Smart contract code; Cryptocurrency project source code", "domainList" : [ "smart-contract-code", "cryptocurrency-project-source-code" ], "domainSpecificKnowledge" : [ "Smart contract code", "Cryptocurrency project source code" ], "continuousLearning" : "Study Growth Fund; Professional development; Continuous learning; Workshops", "innovationCreativity" : "Innovators; Innovation", "problemSolvingSkills" : "Problem-solvers; Technical challenges", "qualificationsBasic" : "Graduating students Class of 2026, Minimum 6 months commitment, Available 5 days per week, Bachelor's degree or above, Computer Science or related fields, Solid understanding data structures, Proficiency in Golang, Java, C++, or C, Proficiency in SQL", "qualificationsPreferred" : "Authorship in top-tier journals/conferences, Awards in major technical competitions, Experience at well-known tech firms, Deep understanding open-source frameworks, Proven track record research-oriented projects, Proven track record practical project outcomes, Familiarity auditing smart contract code, Familiarity reading smart contract code, Experience auditing smart contract code, Experience reading smart contract code, Familiarity cryptocurrency project source code, Experience cryptocurrency project source code", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Responsibilities Core Development: Execute high-quality code writing to ensure technical solutions are delivered on schedule and meet all requirements. Business spearhead initiatives for product performance enhancement and system optimization. Technical Problem Solving: Tackle complex technical challenges, lead architectural upgrades, and contribute to the accumulation of platform capabilities and reusable component frameworks. Qualifications Target Audience: Graduating students of the Class of 2026. Internship Commitment: Minimum of 6 months per term, available 5 days per week. Education: Bachelor’s degree or above in Computer Science, Software Engineering, Communications, or related fields. Technical Foundation: Solid understanding of data structures and computer systems; proficiency in at least one programming language (Golang, Java, C++, or C) and SQL. Growth Mindset: Passionate about technology with strong coding fundamentals; ability to learn new concepts rapidly and consistently push personal boundaries. Soft Skills: Excellent logical thinking, a curiosity for exploring the unknown, and a readiness to embrace new challenges. Character: Strong team spirit—rigorous, resilient, and optimistic. Academic/Competitive Excellence: Authorship in top-tier journals/conferences, awards in major technical competitions, or experience at well-known tech firms. Open Source Contribution: Deep understanding of open-source frameworks or a proven track record of successful research-oriented or practical project outcomes. Specialized Knowledge: Familiarity with or experience in auditing/reading smart contract code and cryptocurrency project source code. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.", "summaryDescription" : "Backend Development Engineer Intern at Bybit. Skills: Backend Development, Software Engineering. Execute high-quality code writing. Deliver technical solutions on schedule", "postedDate" : "2026-06-14T07:57:55.050", "createdAt" : "2026-06-14T07:57:55.050", "lastUpdated" : "2026-06-15T10:21:22.390", "ingestTimestamp" : "2026-06-14T07:57:55.050", "mongoId" : "6a2c6af174d8ee00a090f4ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data structures", "Coding ability", "Logical thinking", "Embrace new challenges", "Backend Development", "Software Engineering", "Technical solutions", "Product performance", "System optimization", "Architectural upgrades", "Platform capabilities", "Reusable component frameworks", "Smart contract code", "Cryptocurrency project source code" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca12f74d8ee00a09a4adf", "title" : "Software Engineering Intern", "company" : "Nox Metals", "industry" : "Engineering", "salary" : { "min" : 4000.0, "max" : 6000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "US/Canada", "locations" : [ "US/Canada" ], "timestamp" : "2026-06-16T03:02:34.394", "fingerprint" : "3c0dd17ef61b42c58ba5ea3f5939ee8485237ccf9b01c7762a62b511219db7b1", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nox-metals/6edc2dff-7c4b-44b8-abba-32d5953b8c5f/application", "externalId" : "6edc2dff-7c4b-44b8-abba-32d5953b8c5f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Detroit", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3315509,-83.0466403" }, { "city" : "Windsor", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2858536,-82.9780695" }, { "workMode" : "remote" } ], "locationText" : "Detroit, Michigan, United States; Windsor, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, TypeScript, React, Next.js, Node.js, FastAPI, PostgreSQL, Docker, AWS", "professionalSkills" : [ "System design", "Problem solving" ], "hardSkillsList" : [ "Data structures", "Algorithms", "Web systems", "Distributed systems" ], "softSkillsList" : [ "High agency", "Low ego", "Customer obsessed" ], "hardSkills" : [ { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Web systems", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "High agency" }, { "name" : "Low ego" }, { "name" : "Customer obsessed" } ], "majorSkills" : "Software development, Factory automation", "majorSkillsList" : [ "Software development", "Factory automation" ], "coreResponsibilities" : "Design features, Build features, Test features, Ship features, Write code, Deploy code, Control metal cutting, Track metal delivery, Debug production systems, Profile production systems, Harden production systems, Take big problems, Own problems end to end", "teamCollaboration" : "Sit next to engineers; Sit next to operators", "projectManagementSkills" : [ "Own projects" ], "domainKnowledge" : "Supply chain; Manufacturing automation", "domainList" : [ "supply-chain", "manufacturing-automation" ], "domainSpecificKnowledge" : [ "Supply chain", "Manufacturing automation" ], "toolProficiency" : [ "Git", "AI tools" ], "innovationCreativity" : "Hunt for faster ways", "problemSolvingSkills" : "Debug production systems; Profile production systems; Harden production systems", "specialRequirements" : "Work outside normal hours", "outcomesObjectives" : "Ship code to production; Control how metal gets cut", "qualificationsBasic" : "Pursuing degree in CS or related, Knowledge of data structures, Knowledge of algorithms, Proficient in one language, Comfortable with Git, Understand web systems, Understand distributed systems, Fast, organized, high agency, Cracked with AI tools, Low ego, Customer obsessed, Willing to work outside normal hours", "qualificationsPreferred" : "Experience with Python, Experience with TypeScript, Experience with React, Experience with Next.js, Experience with Node.js, Experience with FastAPI, Experience with PostgreSQL, Experience with Docker, Experience with AWS", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "American factories deserve a supply chain that moves as fast as they do. The next generation of American manufacturing is being built right now. Nox Metals is the supply chain behind it. We use software and automation to supply metal to American factories faster than the industry thought possible. Nox Metals went thru YC Summer 2025. Software Engineer Intern This is a real software engineering internship. You will own meaningful projects from design to deployment, and the code you write will run on the factory floor. No coffee runs, no shadowing. Your work ships to production and controls how real metal gets cut on real machines. You will: - Design, build, test, and ship features across the systems that run our factory, from the floor command center to the nesting engine to the customer portal - Write code that deploys to the floor and controls how metal gets cut, tracked, and delivered - Debug, profile, and harden production systems that cannot go down in the middle of a shift - Sit next to the engineers and operators running the machines and watch your software hit the real world the same day you ship it - Take big problems off senior engineers' plates and own them end to end You should be: - Pursuing a degree in computer science, software engineering, or a related field, or able to prove you can build without one - Strong in data structures, algorithms, and at least one language (Python, TypeScript, Go, C++, whatever you reach for) - Comfortable with Git and the basics of how web and distributed systems work - Fast, organized, and high agency, able to take a big item and run it down alone while asking for help when you need it - Cracked with AI tools and always hunting for a faster way to do the work - Low ego, customer obsessed, and never the person who says \"that's not my job\" - Willing to work outside normal hours when the floor needs it Our stack: Python, TypeScript, React, Next.js, Node.js, FastAPI, PostgreSQL, Docker, and AWS. You will not know all of it. We will teach you what you do not. This role is full time, in person in Detroit. We are open to in person Windsor or Remote.", "summaryDescription" : "Software Engineering Intern at Nox Metals. Skills: Software development, Factory automation. Design features. 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Build integrations between portco source systems and our central data platform. Prototype and ship LLM-powered internal tools.", "teamCollaboration" : "Work directly with senior engineers, including our CTO and Staff Engineers, on code review, system design, and technical decision-making. Pair with the operations team to understand the problem before writing the code.", "toolProficiency" : [ "QuickBooks, HubSpot, Salesforce, Stripe, dbt, Snowflake, Databricks, OpenAI, Anthropic" ], "communicationSkills" : "Written communicator", "documentationSkills" : "Design docs; PR descriptions", "continuousLearning" : "We have beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time.", "problemSolvingSkills" : "System design", "specialRequirements" : "Remote-friendly, with travel to Beacon HQ in Toronto for onboarding and key in-person sessions.", "outcomesObjectives" : "We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth.", "qualificationsBasic" : "Currently enrolled in a Software Engineering, Computer Science, Computer Engineering, or related undergrad or graduate program. Comfortable writing production-quality code in at least one of TypeScript, Python, or Go. Comfortable working in someone else's codebase.", "qualificationsPreferred" : "Prior co-op or internship experience shipping production software. Exposure to modern data tooling (dbt, Snowflake, Databricks, Postgres at scale). Experience with LLM APIs (OpenAI, Anthropic) or agentic workflow frameworks. Side projects or open-source contributions that demonstrate independent technical curiosity.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT BEACON SOFTWARE Beacon https://beaconsoftware.com is acquiring and operating a portfolio of vertical SaaS companies. Most private equity firms scale by adding people. We are building Beacon to scale by adding software. The thesis is simple: portfolio operations, value creation, and deal sourcing are bottlenecked by human attention, and an agentic operating system can lift that ceiling by an order of magnitude. We are building that system. It has two pieces. A sensing layer is a cross-portfolio data lake on open table formats with a feature store on top that makes the data agent-readable. An action layer runs workflows across three domains: how we run the portfolio, how we grow the portfolio, and how we acquire into it. Underneath both sits a feedback loop that captures every action and outcome with stable identifiers. ABOUT THE ROLE We are hiring a Software Engineering Intern to join the Beacon HQ engineering team for the Fall 2026 co-op term. You will work directly with our senior engineers on the platforms that power how we operate the portfolio: data ingestion across 25+ portcos, internal tools used by our operating team every day, and AI-powered workflows that we are embedding into both Beacon HQ and the portfolio products themselves. This is not a fetch-coffee internship. We are a small team and interns ship real code into production. Past interns have owned services end-to-end, written features that the entire operating team now depends on, and built tooling that meaningfully changed how a specific portco runs. The bar is high. The autonomy is real. WHAT YOU'LL DO - Ship production code into Beacon's internal platform. You will own a meaningful piece of work end-to-end, from design through deployment. - Build integrations between portco source systems (QuickBooks, HubSpot, Salesforce, Stripe, Postgres, and similar) and our central data platform. - Prototype and ship LLM-powered internal tools that our operating team uses to manage the portfolio. - Work directly with senior engineers, including our CTO and Staff Engineers, on code review, system design, and technical decision-making. - Pair with the operations team to understand the problem before writing the code. Engineering at Beacon is operator-facing, and you will learn how to ship software that someone actually uses. WHO YOU ARE - Currently enrolled in a Software Engineering, Computer Science, Computer Engineering, or related undergrad or graduate program. - Comfortable writing production-quality code in at least one of TypeScript, Python, or Go. You do not need to know all three, but you should be able to pick up a new language quickly. - Comfortable working in someone else's codebase. You can read code as well as you write it. - Curious about data systems, APIs, and the practical mechanics of LLM-driven applications. Prior exposure is a plus but not required. - Strong written communicator. Beacon runs on writing, and interns are expected to write design docs, PR descriptions, and updates that hold up to senior review. - Operator instincts. You take the time to understand the problem before reaching for a solution. BONUS POINTS - Prior co-op or internship experience shipping production software. - Exposure to modern data tooling (dbt, Snowflake, Databricks, Postgres at scale). - Experience with LLM APIs (OpenAI, Anthropic) or agentic workflow frameworks. - Side projects or open-source contributions that demonstrate independent technical curiosity. WHAT WE OFFER - Direct mentorship from senior engineers and the Beacon CTO. - Real ownership. You will ship code that the operating team depends on, not throwaway prototypes. - Exposure to a unique operational problem: building software that scales across a portfolio of very different businesses. - Competitive co-op compensation. - Remote-friendly, with travel to Beacon HQ in Toronto for onboarding and key in-person sessions. Our Values at Beacon Software - Humility: We acknowledge that the path to getting to the right answer involves being wrong along the way. We have strong beliefs which are weakly held. We actively seek new ideas and believe we can learn from anyone at any time. - Honesty: We are truth seeking in our approach to business problems. Business is a repeat game and we believe that human relationships generate alpha. We understand that trust is earned over a lifetime and can be lost in an instant. - Hunger: We play to win. We hold ourselves to high standards and will not be outworked. We take pride in having a deep sense of responsibility to ourselves, each other, our partners, and our customers. We believe to whom much is given much is expected. - Horizon: We seek to build a generational software company. This will take decades. We manage our expectations and those of our partners to take advantage of the 8th wonder of the world - compounding growth. How We Use AI in Our Hiring Process: To ensure transparency, we want candidates to know that Beacon Software uses Artificial Intelligence and AI-enabled tools to assist with screening, reviewing, organizing and highlighting profiles and applications that match the key requirements for each role. AI does not make hiring decisions: Every application is reviewed by a member of our team, and all decisions throughout the process are made by humans. We use AI to support efficiency and consistency, not to replace human judgment. We are committed to a fair, thoughtful, and equitable experience for every candidate.", "summaryDescription" : "Software Engineering Intern at Beacon Software. Skills: TypeScript, Python, Go, LLM-powered internal tools, System design. Ship production code into Beacon's internal platform. Build integrations between portco source systems and our central data platform. 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"CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Engineering Intern in Wasaga Beach, Canada, adjusted for internship employment type." }, "location" : "Wasaga Beach, ON", "locations" : [ "Wasaga Beach, ON" ], "timestamp" : "2026-06-16T02:42:45.379", "fingerprint" : "71cc2c2f3953d2accef28666354e1df23b0d23d5079ce2716daadaaea1eb4f4f", "source" : "jazzhr", "language" : "en", "externalId" : "va9dkJpjIH", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Wasaga Beach", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.5224813,-80.0203156" } ], "locationText" : "Wasaga Beach, Ontario, Canada", "employmentType" : "INTERNSHIP", "summaryDescription" : "Engineering Intern- Fall 2026", "createdAt" : "2026-06-14T20:43:31.127", "lastUpdated" : "2026-06-16T02:42:45.379", "ingestTimestamp" : "2026-06-14T20:43:31.127", "mongoId" : "6a2d01fe74d8ee00a0abb552", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.85 }, { "id" : "6a2a5c2b74d8ee00a06130ad", "title" : "Backend Development Intern, Fall 2026", "company" : "Coveo", "industry" : "Technology", "salary" : { "min" : 40000.0, "max" : 55000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Backend Development Intern in Montreal, Canada, adjusted for the SaaS industry and company size." }, "location" : "Montréal, Quebec, Canada", "locations" : [ "Montréal", "Quebec", "Canada" ], "timestamp" : "2026-06-14T22:16:08.715", "fingerprint" : "546dec7374e71881e02b8f5d22f28bfd8448ba28472b4f2495d7eec16f4643d9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.coveo.com/en/company/careers/open-positions?gh_jid=8585391002", "externalId" : "8585391002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montréal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montréal, Quebec, Canada", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Scala, Java, Kotlin, C++, Python, Spring Boot, AWS, Azure, Google Cloud", "professionalSkills" : [ "Information retrieval", "Index querying", "Machine learning development", "Backend infrastructure", "Large-scale engineering", "Requirements gathering", "Model training", "Platform resilience", "Platform visibility", "AI-powered experiences" ], "hardSkillsList" : [ "Backend development", "Search indexing", "Machine learning", "API development", "Microservices", "Cloud computing", "Data indexing", "Querying systems", "Model training platform", "Infrastructure development", "Observability", "Workload monitoring", "Model performance validation", "Code quality", "Programming skills" ], "softSkillsList" : [ "Ownership", "Growth mindset" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "Search indexing", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Microservices", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Data indexing", "level" : "intermediate" }, { "name" : "Querying systems", "level" : "intermediate" }, { "name" : "Model training platform", "level" : "intermediate" }, { "name" : "Infrastructure development", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Workload monitoring", "level" : "intermediate" }, { "name" : "Model performance validation", "level" : "intermediate" }, { "name" : "Code quality", "level" : "intermediate" }, { "name" : "Programming skills", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership" }, { "name" : "Growth mindset" } ], "majorSkills" : "Backend development, Search, Indexing, Machine learning", "majorSkillsList" : [ "Backend development", "Search", "Indexing", "Machine learning" ], "coreResponsibilities" : "Improve critical services, Strengthen backend infrastructure, Refactor Search API service, Make incremental changes, Gather requirements, Deliver projects, Implement backend improvements, Strengthen platform resilience, Strengthen platform visibility, Engage in daily stand-ups, Discuss progress, Discuss roadblocks, Discuss plans, Collaborate with team members, Ensure alignment, Ensure effective communication, Manage Jira tickets, Resolve Jira tickets, Complete tasks, Contribute to projects, Code solutions, Test solutions, Deploy solutions, Meet customer requirements, Enhance customer experience, Draw on mentor expertise, Apply best practices, Apply methodologies, Apply strategies, Take role in code review, Offer constructive feedback, Receive advice, Raise code quality, Follow best practices, Strengthen programming skills", "teamCollaboration" : "Collaborate with team members; Code review sessions", "projectManagementSkills" : [ "Project management", "Software development" ], "domainKnowledge" : "Information retrieval; Search systems; Indexing systems; Machine learning platforms; Cloud computing", "domainList" : [ "information-retrieval", "search-systems", "indexing-systems", "machine-learning-platforms", "cloud-computing" ], "domainSpecificKnowledge" : [ "Information retrieval", "Search systems", "Indexing systems", "Machine learning platforms", "Cloud computing" ], "toolProficiency" : [ "Jira" ], "continuousLearning" : "Mentor's expertise; Best practices; Methodologies; Strategies", "innovationCreativity" : "Hackathons; Personal projects", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Work full-time in Canada", "qualificationsBasic" : "Studying Software Engineering or Computer Science, Able to work in office 2 days/week, Legally entitled to work in Canada", "qualificationsPreferred" : "Experience with microservices, Experience with SpringBoot, Experience with APIs, Experience with Java, Experience with SQL, Experience with cloud computing, Experience with AWS, Experience with Azure, Experience with Google Cloud, Completed an internship, Participated in hackathons, Personal projects", "workSiteFlexibility" : "Hybrid", "rawDescription" : "What does it take to build, improve, and scale the backend systems behind search, indexing, and machine learning? Are you curious about the systems that power information retrieval, index querying, and machine learning development at scale? Coveo is looking for Software Development Interns to join teams within Research & Development, where you’ll contribute to meaningful backend projects that support real-world products and client-facing solutions. Your mission? Help improve critical services, strengthen backend infrastructure, and gain hands-on experience in large-scale engineering environments. You could work on one of the following projects: Search API team: The team is responsible for how Coveo retrieves information from the index and for the surrounding technologies that support that flow. As an intern, you’ll contribute to refactoring initiatives that help align the Search API service with the rest of R&D, while learning how to make incremental changes to a critical service. Query-Index team: This team works on index query-related systems, including how Coveo retrieves information from the index and the related technologies that support that flow. As an intern, you’ll gain practical experience with regular engineering workflows while also owning a project from requirements gathering to delivery. ML Platform Building team: The team develops and maintains the model training platform used across Coveo. They provide the infrastructure, tools, and observability needed to experiment, access metrics, monitor workloads, and validate model performance. As an intern, you'll implement backend improvements that strengthen the platform's resilience and visibility, directly supporting the teams behind Coveo's AI-powered experiences. Your impact, day to day: Engage actively in daily stand-up meetings to discuss progress, roadblocks, and plans. Collaborate with team members to ensure alignment and effective communication. Manage and resolve assigned Jira tickets, ensuring timely completion of tasks. Contribute to real-world projects that will be implemented for Coveo's clients. This can include coding, testing, and deploying solutions that meet customer requirements and enhance their experience. Develop your skills by drawing on your mentor’s expertise. Watch, learn, and apply the best practices, methodologies, and strategies used in project management and software development. Take an active role in code review sessions. Offer constructive feedback and receive advice on how to raise the quality of your code, follow best practices and strengthen your programming skills. The Essentials: You are currently studying Software Engineering or Computer Science in a Bachelor's degree or higher in the province of Québec. You are able to work from one of our offices 2 days a week. Our hybrid work model offers flexibility, you can benefit from face-to-face learning from your team on office days while home days allow you to focus and complete complex work. You are legally entitled to work full-time in Canada for the duration of the 15 week internship. Think you've got what it takes? Let's see! You have experience in: To join the Search API team: Scala, Java or Kotlin, experience with microservices, SpringBoot, or APIs is a bonus. To join the Query-Index team: C++, experience with Java or SQL is a bonus. To join the ML Platform Building team: experience in Java or Python with experience or interest in cloud computing, ideally with AWS, Azure, or Google Cloud. You have completed an internship. You have a strong sense of ownership and are proud of what you create. You strive to grow and aren't afraid to ask questions. You’re passionate about the tech industry and lead with a proactive mindset. You’ve participated in some hackathons and/or have a few personal projects. Join the Coveolife! Do you think you can bring this role to life? Send us your application, we want to hear from you! We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume. Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs. #LI-hybrid", "summaryDescription" : "Backend Development Intern, Fall 2026 at Coveo. Skills: Backend development, Search, Indexing, Machine learning. Improve critical services. 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Technical discussions", "projectManagementSkills" : [ "Agile", "CI/CD" ], "domainKnowledge" : "Robotics; Material handling equipment; Computer vision; Cloud services; Distributed computing environment; AI-powered tools; Fulfillment center technologies", "domainList" : [ "robotics", "material-handling-equipment", "computer-vision", "cloud-services", "distributed-computing-environment", "ai-powered-tools", "fulfillment-center-technologies" ], "domainSpecificKnowledge" : [ "Robotics", "Material handling equipment", "Computer vision", "Cloud services", "Distributed computing environment", "AI-powered tools", "Fulfillment center technologies" ], "toolProficiency" : [ "AWS", "SQL", "NoSQL", "Version control systems" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Technical documentation", "continuousLearning" : "Mentorship", "innovationCreativity" : "Innovative technology; Creating new products; Creating new features; Creating new services", "problemSolvingSkills" : "Problem-solving; Analytical; Troubleshooting", "specialRequirements" : "On-call duties", "qualificationsBasic" : "18 years of age or older, Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields, Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript, Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles, Minimum of one quarter/semester/trimester remaining in studies after internship concludes", "qualificationsPreferred" : "Experience from previous technical internship(s), Demonstrated project experience, Experience with Cloud platforms (preferably AWS), Experience with database systems (SQL and NoSQL), Experience with AI tools for development productivity, Experience contributing to open-source projects, Experience with version control systems, Basic understanding of software development lifecycle (SDLC), Experience within Robotics, Experience within Computer Vision, Experience within Machine Learning, Experience within Optimization, Experience within Manipulation, Experience within Perception, Experience within Motion Planning and Controls, Experience within Movement, Experience within Autonomous Navigation, Experience within Path Planning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. Our Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDEs solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years. At Amazon, we believe in ownership at every level. As an SDE-I, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth. Amazon internships across all seasons are full-time positions, and intern/co-ops should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. Please note that by applying to this role you would be considered for Software Development Engineer summer intern and spring/fall co-op roles on various Robotics teams. You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer. Key job responsibilities • Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward. • Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment. • Participate in code reviews and contribute to technical documentation. • Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective. • Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies. • Write clean, maintainable code following best practices and design patterns. • Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties. • Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues. • Design, develop and test software components that interact with fulfillment center technologies, such as robotics, material handling equipment, computer vision, and cloud services. A day in the life As an SDE intern/co-op, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns/co-ops throughout your internship. No matter the location of your internship/co-op, we give you the tools to own your project and learn in a real-world setting. About the team Learn more about Robotics at Amazon: https://amazon.jobs/en/teams/amazon-robotics https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model Basic Qualifications: - Are 18 years of age or older - Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields - Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript - Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles Preferred Qualifications: - Experience from previous technical internship(s) or demonstrated project experience - Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems - Strong problem-solving and analytical skills; Excellent written and verbal communication skills - Demonstrated ability to learn and adapt to new technologies quickly - Basic understanding of software development lifecycle (SDLC) - Experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related 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" : "Robotics - Software Development Engineer Intern - 2026 at Amazon Development Centre Canada ULC. Skills: Software Development, Robotics, Cloud-native architecture. Collaborate with Amazonians to design products. Build innovative products", "postedDate" : "2026-06-13T12:17:57.720", "createdAt" : "2026-06-13T12:17:57.720", "lastUpdated" : "2026-06-15T04:15:27.598", "ingestTimestamp" : "2026-06-13T12:17:57.720", "mongoId" : "6931903470f0b99d58087a78", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136815/apply", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data structure implementation", "Algorithm development", "Object-oriented design", "Software Development", "Robotics", "Cloud-native architecture", "System design", "Problem-solving", "Analytical", "Agile", "CI/CD", "Material handling equipment", "Computer vision", "Cloud services", "Distributed computing environment", "AI-powered tools", "Fulfillment center technologies", "AWS", "SQL", "NoSQL", "Version control systems" ], "skillCount" : 21, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cb0f474d8ee00a09dba5a", "title" : "Software Development Intern", "company" : "MaintainX", "industry" : "Engineering", "salary" : { "min" : 40000.0, "max" : 55000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Software Development Intern in Montreal, Canada, adjusted for entry-level seniority and the technology industry." }, "location" : "Canada", "locations" : [ "Canada" ], "timestamp" : "2026-06-15T09:05:16.048", "fingerprint" : "25ddda1321e5a530cccd776fc5b6d2f3f00b018b0acf47dda9a1b37ba8b054b0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/maintainx/4189beb9-a98c-48cc-a9ab-b7bce0390d39/application", "externalId" : "4189beb9-a98c-48cc-a9ab-b7bce0390d39", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montreal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montreal, Quebec, Canada", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "TypeScript, JavaScript, Node.js, React, React Native, SQL, GraphQL, MySQL, AWS", "professionalSkills" : [ "Architecture discussions", "Code reviews", "Sprint planning" ], "hardSkillsList" : [ "Web development", "Mobile development" ], "softSkillsList" : [ "Clear communicator" ], "hardSkills" : [ { "name" : "Web development", "level" : "intermediate" }, { "name" : "Mobile development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Clear communicator" } ], "majorSkills" : "Software Development, AI-powered platform", "majorSkillsList" : [ "Software Development", "AI-powered platform" ], "coreResponsibilities" : "Write code, Ship to production, Participate in architecture discussions, Participate in code reviews, Participate in sprint planning, Ship onboarding features, Ship activation features, Build tools for large-scale customers, Improve infrastructure, Improve reliability, Prototype intelligent features", "teamCollaboration" : "Product engineering teams; Senior and staff engineers", "projectManagementSkills" : [ "Agile sprints" ], "domainKnowledge" : "Maintenance and asset management; AI-powered automation; Frontline maintenance work", "domainList" : [ "maintenance-and-asset-management", "ai-powered-automation", "frontline-maintenance-work" ], "domainSpecificKnowledge" : [ "Maintenance and asset management", "AI-powered automation", "Frontline maintenance work" ], "communicationSkills" : "Explain technical decision", "continuousLearning" : "Mentorship from senior and staff engineers", "innovationCreativity" : "Prototype intelligent features", "qualificationsBasic" : "Bachelor's or Master's program, Practical web or mobile development, Comfortable in TypeScript, JavaScript, or Node.js, Track record of finishing what you start", "qualificationsPreferred" : "Exposure to GraphQL, MySQL, or AWS, Interest in AI/LLMs", "workSiteFlexibility" : "Hybrid", "rawDescription" : "MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding https://www.getmaintainx.com/newsroom/maintainx-raises-150m led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 https://www.getmaintainx.com/blog/maintainx-named-to-2025-forbes-cloud-100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the talent to match. MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding https://www.getmaintainx.com/newsroom/maintainx-raises-150m led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 https://www.getmaintainx.com/blog/maintainx-named-to-2025-forbes-cloud-100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the talent to match. As a Software Development Intern at MaintainX, you'll be embedded directly on one of our product engineering teams — writing code that reaches the 150,000+ technicians who use our platform every week. This isn't a side project or a sandbox. You'll ship to production. You'll participate in architecture discussions, code reviews, and sprint planning alongside senior and staff engineers. At the end of your term, you'll have shipped something real — and we'll know if this is a fit for something more. Depending on your interests and team fit, you may work on one of these pillars: - Growth — Ship onboarding and activation features that shape whether new customers see value in week one - Enterprise — Build tools that power large-scale customers managing hundreds of sites and thousands of workers - Scale (DevOps & Tooling) — Improve the infrastructure and reliability that 13,000+ customers depend on daily - ML & AI — Prototype intelligent features that bring AI-powered automation to frontline maintenance work About You: - Currently enrolled in a Bachelor's or Master's program in Computer Science, Computer Engineering, or a related field - Practical experience with web or mobile development — coursework, personal projects, or prior internships all count - Comfortable working in at least one of: TypeScript, JavaScript, or Node.js - Familiarity with React or React Native (frontend) or Node.js and SQL (backend) - A track record of finishing what you start — side projects, open source contributions, or coursework - Clear communicator: you can explain a technical decision in a code review or a Slack message Nice to Have: - Exposure to GraphQL, MySQL, or AWS - Interest in AI/LLMs — whether that's using Cursor daily, building your own experiments, or just reading the papers What's in it for you: - Work mode: Hybrid in our Montreal office - Schedule: 40 hours/week, Monday to Friday - Period: August 31 to December 18 (16 weeks) - Exposure to modern engineering practices: agile sprints, code review culture, architecture decisions at scale - A genuine shot at converting — we hire from our intern class when the fit is there - Real mentorship from senior and staff engineers who are invested in your growth - Competitive internship compensation Values & How We Work We're a team of people who are smart, humble, and optimistic. We hire for what you've shipped, not what your title was — and that applies to interns too. You'll be treated like a teammate from day one. We expect engagement and fresh thinking; in return, we invest in your growth for real. About Us: Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations. MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations. MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.", "summaryDescription" : "Software Development Intern at MaintainX. Skills: Software Development, AI-powered platform. Write code. 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Are you curious about the systems that power information retrieval, index querying, and machine learning development at scale? Coveo is looking for Software Development Interns to join teams within Research & Development, where you’ll contribute to meaningful backend projects that support real-world products and client-facing solutions. Your mission? Help improve critical services, strengthen backend infrastructure, and gain hands-on experience in large-scale engineering environments. You could work on one of the following projects: Search API team: The team is responsible for how Coveo retrieves information from the index and for the surrounding technologies that support that flow. As an intern, you’ll contribute to refactoring initiatives that help align the Search API service with the rest of R&D, while learning how to make incremental changes to a critical service. Query-Index team: This team works on index query-related systems, including how Coveo retrieves information from the index and the related technologies that support that flow. As an intern, you’ll gain practical experience with regular engineering workflows while also owning a project from requirements gathering to delivery. ML Platform Building team: The team develops and maintains the model training platform used across Coveo. They provide the infrastructure, tools, and observability needed to experiment, access metrics, monitor workloads, and validate model performance. As an intern, you'll implement backend improvements that strengthen the platform's resilience and visibility, directly supporting the teams behind Coveo's AI-powered experiences. Your impact, day to day: Engage actively in daily stand-up meetings to discuss progress, roadblocks, and plans. Collaborate with team members to ensure alignment and effective communication. Manage and resolve assigned Jira tickets, ensuring timely completion of tasks. Contribute to real-world projects that will be implemented for Coveo's clients. This can include coding, testing, and deploying solutions that meet customer requirements and enhance their experience. Develop your skills by drawing on your mentor’s expertise. Watch, learn, and apply the best practices, methodologies, and strategies used in project management and software development. Take an active role in code review sessions. Offer constructive feedback and receive advice on how to raise the quality of your code, follow best practices and strengthen your programming skills. The Essentials: You are currently studying Software Engineering or Computer Science in a Bachelor's degree or higher in the province of Québec. You are able to work from one of our offices 2 days a week. Our hybrid work model offers flexibility, you can benefit from face-to-face learning from your team on office days while home days allow you to focus and complete complex work. You are legally entitled to work full-time in Canada for the duration of the 15 week internship. Think you've got what it takes? Let's see! You have experience in: To join the Search API team: Scala, Java or Kotlin, experience with microservices, SpringBoot, or APIs is a bonus. To join the Query-Index team: C++, experience with Java or SQL is a bonus. To join the ML Platform Building team: experience in Java or Python with experience or interest in cloud computing, ideally with AWS, Azure, or Google Cloud. You have completed an internship. You have a strong sense of ownership and are proud of what you create. You strive to grow and aren't afraid to ask questions. You’re passionate about the tech industry and lead with a proactive mindset. You’ve participated in some hackathons and/or have a few personal projects. Join the Coveolife! Do you think you can bring this role to life? Send us your application, we want to hear from you! We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume. Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs. #LI-hybrid", "summaryDescription" : "Backend Development Intern, Fall 2026 at Coveo. Skills: Backend development, Search, Indexing, Machine learning. Improve critical services. 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Financial services industry; Investment management", "domainList" : [ "asset-and-wealth-management", "financial-services-industry", "investment-management" ], "domainSpecificKnowledge" : [ "Asset and wealth management", "Financial services industry", "Investment management" ], "communicationSkills" : "Presentation skills; Effective communication", "continuousLearning" : "Tailored training; Mentorship; Training time", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solving exercise", "specialRequirements" : "Some travel may be required", "workSiteFlexibility" : "Flexible", "rawDescription" : "Asset & Wealth Management – 2026 Graduate Programme Level: Graduate position (Consultant) Division: Alpha FMC – Asset & Wealth Management Consulting (AWM) Open locations: Luxembourg, Germany - some travel may be required (All slots for France are filled) Start date: September 2026, but we are open to discuss an earlier start date on a case by case basis Watch a short video from our Co-Head of Alpha Europe here [Charles-Antoine Desjardins] About Alpha FMC Alpha Financial Markets Consulting (Alpha) is a leading global consultancy to the financial services industry. Founded in 2003, we have worked for over 20 years to bring together specialist, sector-focused strategy, management consulting and technology expertise to support the entire client transformation lifecycle. Having partnered with more than 1,200 clients worldwide across the asset and wealth management, alternatives and insurance industries, Alpha is truly a trusted advisor for complex change programmes. We now have over 1,180 consultants working with clients across North America, the UK, Europe, Middle East and APAC. In 2024, in recognition of our successful track record and strong growth prospects, Alpha was acquired by Bridgepoint, one of the world's leading quoted private asset growth investors. Our people are at the heart of everything we do. We are delighted that many of our team have built long and fulfilling careers with us, many staying over a decade. We believe this is because Alpha offers a genuinely rewarding place to work: a meritocratic environment where your career can flourish, and a welcoming culture where you can be yourself, connect with others and thrive. As we look to the future, we’re excited to be looking for new Alpha colleagues - individuals who are collaborative, innovative and ambitious. We hope you will join us and help shape the next chapter of our growth journey. Why join Alpha? Established yet entrepreneurial – with over 20 years of success and a proven record on the London Stock Exchange, Alpha offers the stability of an established consultancy with the energy of a fast-growth business. Backed by Bridgepoint – as part of one of the world’s leading growth investors, Alpha benefits from strategic investment that fuels innovation, expansion and new offerings – creating even more opportunity for our people. Exposure to senior leadership – whether you are in an internal or a client facing role, you will have the opportunity to work with and learn from the best of the best – high performers at the top of their game. Learning and growth opportunities – we run tailored training to help you be successful, provide you excellent mentorship, and offer up to 5 days paid training time per year. Perhaps the best training though is the experience on the job – as everyone at Alpha has high responsibility and autonomy, you can develop your skillsets quickly. Performance-driven culture with real impact – advancement at Alpha is based on impact and capability, not tenure or quotas. You’ll have autonomy and see the tangible difference your ideas and decisions make. If you’re looking for a career that combines stimulating challenges with a lively work culture, Alpha is the place for you. Please visit our Alpha FMC website (http://alphafmc.com/) for more information. About our European Graduate Programme for AWM Consulting: Please see this page (https://alphafmc.com/awm-eur-careers-graduates/) for more information about our European Graduate Programme for Asset & Wealth Management Consulting (AWM), including a welcome video from one of our Senior Partners & Co-Head of Alpha Europe. We believe our programme gives you the opportunity to develop yourself on high profile projects with top clients across the investment management value chain, all while enjoying a wide range of additional benefits: Training: Our comprehensive training spans technical skills ( g. Excel modelling and PowerPoint design), soft skills (e. g. time management, effective communication and presentation skills), and consulting expertise (e. g. project management, deliverable creation and stakeholder management). Client Projects: Following your onboarding week, you’ll immediately support clients across our practice areas, including Investments, Client & Digital and Operations. This approach involves working in small-to-medium-sized teams, ensuring significant responsibilities from the very start. Senior Exposure: As advisors to the world’s leading asset and wealth managers, you’ll collaborate closely with some of the industry’s most senior executives, contributing to their strategic objectives. Shaping Alpha: We encourage active involvement in internal initiatives, allowing you to develop your skills and interests while supporting various aspects of our business, from practices to Recruitment, Training, Social activities, and Diversity & Inclusion. Tailored Support: Our well-established mentoring programme and buddy system provide continuous support and development for all employees. Learning & Development: We emphasise continuous learning and professional growth. This commitment extends beyond our program to encompass internal training, knowledge sharing, ensuring ongoing growth and expertise for our team members. Progression Opportunities: As your performance and experience evolve, you’ll have the chance to take on additional responsibilities in a truly meritocratic environment. Work Environment & Culture: We nurture a collaborative and social work environment, emphasising the significance of teamwork. Our commitment to diversity, inclusion, and social responsibility is reflected in opportunities to actively engage in meaningful projects, participate in sports teams, and enjoy social events, creating a vibrant and engaging work atmosphere. Global Exposure: Potential for international placements or opportunities to work with clients or projects outside of your core region. Our Benefits: In addition to the points mentioned above, we pride ourselves on a highly competitive graduate benefits package, including, but not limited to,: Competitive base salary (France: €42,000 - Luxembourg: €44,000 – Germany: €50,000) Profit share Generous holiday allowance (location-specific) Mobile phone allowance Personal laptop Home working allowance covering essential equipment Sponsorship for professional qualifications Training courses Comprehensive career support through active and structured mentorship and buddy schemes Opportunities for potential secondments to different regions at more senior levels Graduate training week in an international environment Ideal Candidate: We are looking for high-performing candidates who are eager to make a difference from day one and fulfil the below requirements: Be on track to achieve / recently obtained a Master’s degree (or equivalent), with diverse academic backgrounds welcomed. For applicants in Germany, candidates with a Bachelor’s degree are also eligible. Possess internship experience in a relevant sector (e.g., Consulting, Financial Services, Technology, or Professional Services) Exhibit fluency in English (both spoken and written), with an additional requirement based on your desired location: English and French for France, English and one of French or German for Luxembourg, and English and German for Germany Availability to start in September 2026 (or potentially earlier on a case-by-case basis) Display a genuine interest in consulting and the asset & wealth management industry Demonstrate strong problem-solving abilities and an analytical mindset Showcase ambition, proactivity, and an entrepreneurial spirit with a 'can-do' attitude Be a team player with a strong sense of teamwork Show interest in participating in various aspects of business management, including practices, recruitment, diversity & inclusion, and social initiatives Your Wellbeing: Ensuring that we prioritise the wellbeing and care of everyone is paramount. To support this, we have an established mentoring and employee oversight framework across all global locations and levels. At the same time, we continue to invest in our comprehensive training and development programme that builds confidence, consulting skills and industry content. Our Commitment to Inclusion: At Alpha, diversity, equity and inclusion are critical to our success. Our priorities show a focus on fostering an inclusive, equitable workplace where individuals are treated fairly regardless of gender or background. We welcome applications from disabled people and are committed to making our recruitment process and workplace accessible and inclusive for everyone. Application Process: The multi-stage recruitment process is as follows: Apply with your CV (please indicate the area code for your phone number e. g. +33 for France) Cognitive Exercise (30 minutes, virtual) – online exercise to be completed in your own time Video Interview (10 minutes, virtual) – virtual interview where you will be asked to record a short video answer to 5 questions on your understanding and motivation for joining Alpha Interview & Case Study (1h, virtual) – made up of a 20-min discussion of your background and interest in Alpha, and a 40-min mini case study which will be a problem solving exercise. Final Round Interview (45 minutes, in person) – with one of our Partners from Alpha Europe Successful candidates will progress through the stages and our team will inform you of our decisions as quickly as possible between rounds. Thank you very much for your interest in Alpha’s Graduate Programme. Please note that applications are screened on a first come, first served basis and we recommend applying as early as possible. The Assessment Centres and Final Round interviews will be held on a rolling basis until all positions have been filled. We look forward to receiving your application! --- Please be aware that we may hold information for up to 3 years from the close of the recruitment process to allow us to review your suitability for current and future job opportunities with Alpha, your data may also be shared with relevant third party providers as and when required as part of the assessment process. Full details around what data we hold, why we hold it and for how long are available in our recruitment privacy statement (https://alphafmc.com/privacy-policy/). 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Work with cross-functional teams; Seamless integration with hardware", "domainKnowledge" : "Autonomy at sea; Autonomous surface vessels; Maritime operations; Navigation algorithms; Sensor integration; Communication protocols; Real-time decision-making; Path planning; Object detection", "domainList" : [ "autonomy-at-sea", "autonomous-surface-vessels", "maritime-operations", "navigation-algorithms", "sensor-integration", "communication-protocols", "real-time-decision-making", "path-planning", "object-detection" ], "domainSpecificKnowledge" : [ "Autonomy at sea", "Autonomous surface vessels", "Maritime operations", "Navigation algorithms", "Sensor integration", "Communication protocols", "Real-time decision-making", "Path planning", "Object detection" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Design specifications; User manuals; Test plans", "continuousLearning" : "Mentored by experienced engineers", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "specialRequirements" : "Full-time in office presence, Physical demands", "qualificationsBasic" : "Currently enrolled in Bachelor's or Master's program, Programming skills in Python, C++, Typescript, Javascript, or Rust, Basic understanding of robotics principles, Basic understanding of autonomous systems, Basic understanding of sensor technologies, Analytical and problem-solving skills, Ability to work independently, Ability to work collaboratively, Full-time in office presence (40 hours/week), U.S. Person status required", "qualificationsPreferred" : "Master's program enrollment preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Saronic Technologies is a leader in revolutionizing autonomy at sea, dedicated to developing state-of-the-art solutions that enhance maritime operations through autonomous and intelligent platforms. Job Overview We are seeking a motivated and talented Software Engineer Intern to work on real-world problems that contribute directly to the development of our autonomous surface vessels. You will gain hands-on experience in software development, testing, and integration, and work alongside experienced engineers to tackle complex challenges in autonomy, sensor fusion, and real-time processing. This internship is ideal for students pursuing Computer Science, Software Engineering, Electrical Engineering, and Computer Engineering, or a related field, and eager to make an impact in the defense tech industry. All interns will be supported and mentored by experienced Software Engineers. Responsibilities - Design, implement, and test software components for autonomous systems, including navigation algorithms, sensor integration, and communication protocols - Collaborate with the team to develop and optimize algorithms for real-time decision-making, path planning, and object detection - Assist in the development of testing frameworks and participate in hardware-in-the-loop (HIL) testing to validate software performance in simulated and real-world environments - Contribute to the creation of technical documentation, including design specifications, user manuals, and test plans - Work closely with cross-functional teams, including mechanical, electrical, and systems engineers, to ensure seamless integration of software with hardware components Qualifications - Currently enrolled in a Bachelor's or Master's program in Computer Science, Software Engineering, Electrical and Computer Engineering, or a related field - Programming skills in Python, C++, Typescript, Javascript, or Rust - Basic understanding of robotics principles, autonomous systems, and sensor technologies - Strong analytical and problem-solving skills - Ability to work independently and collaboratively in a fast-paced environment - This role requires full-time in office presence (40 hours/week) based at our headquarters in Austin, TX, from August through December Physical Demands - Prolonged periods of sitting at a desk and working on a computer - Occasional standing and walking within the office - Manual dexterity to operate a computer keyboard, mouse, and other office equipment - Visual acuity to read screens, documents, and reports - Occasional reaching, bending, or stooping to access file drawers, cabinets, or office supplies - Lifting and carrying items up to 20 pounds occasionally (e.g., office supplies, packages) If this role is based in the United States, it requires access to export-controlled information or items that require “U.S. Person” status. As defined by U.S. law, individuals who are any one of the following are considered to be a “U.S. Person”: (1) U.S. citizens, (2) legal permanent residents (a.k.a. green card holders), and (3) certain protected classes of asylees and refugees, as defined in 8 U.S.C. 1324b(a)(3) https://www.govinfo.gov/link/uscode/8/1324b. Saronic does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We are also committed to providing reasonable accommodations for qualified individuals with disabilities.", "summaryDescription" : "Software Engineer Intern (Fall 2026) at Saronic Technologies. Skills: Software development, Autonomous systems, Real-time processing. Design software components. Implement software components", "createdAt" : "2026-06-14T21:50:10.720", "lastUpdated" : "2026-06-16T06:49:43.856", "ingestTimestamp" : "2026-06-14T21:50:10.720", "mongoId" : "6a2ca05574d8ee00a09a1e77", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Robotics principles", "Autonomous systems", "Sensor technologies", "Software development", "Real-time processing", "Problem-solving", "Analytical skills", "Autonomy at sea", "Autonomous surface vessels", "Maritime operations", "Navigation algorithms", "Sensor integration", "Communication protocols", "Real-time decision-making", "Path planning", "Object detection" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30616ef292fd229cf967d9", "title" : "Graduate Management Programme 2026", "company" : "Radius Limited", "industry" : "Transportation/Trucking/Railroad", "salary" : { "min" : 48000.0, "max" : 72000.0, "currency" : "MYM", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level roles in Kuala Lumpur, Malaysia, adjusted for the technology industry and company size." }, "location" : "Kuala Lumpur, Kuala Lumpur, MY", "locations" : [ "Kuala Lumpur", "Kuala Lumpur", "MY" ], "timestamp" : "2026-06-16T09:11:58.422", "fingerprint" : "349df5bb79f684efc805489dbbb46451415b786dd31b38ed53f32abac0fce2d5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/RadiusLimited/744000132103798-graduate-management-programme-2026-kuala-lumpur", "externalId" : "744000132103798", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kuala Lumpur", "state" : "Kuala Lumpur", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.1395089,101.6937972" } ], "locationText" : "Kuala Lumpur, Kuala Lumpur, Malaysia", "employmentType" : "FULL_TIME", "minimumEducation" : "degree", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "executive", "professionalSkills" : [ "Sales", "Account management", "Team leadership", "Coaching" ], "majorSkills" : "Sales, Account management", "majorSkillsList" : [ "Sales", "Account management" ], "coreResponsibilities" : "Direct sales and account management for Fuel and, Gain direct experience on the phone working with, Take on managerial tasks, Support talent team with brand awareness, Attend local university job fairs and events, Be a buddy to new graduates", "teamCollaboration" : "Collaborate with teams across the business", "domainKnowledge" : "Fuel; Telematics", "domainList" : [ "fuel", "telematics" ], "domainSpecificKnowledge" : [ "Fuel", "Telematics" ], "communicationSkills" : "Present ideas to senior", "continuousLearning" : "Rotational graduate programme; Mentoring by a director", "problemSolvingSkills" : "Problem-solving mindset", "outcomesObjectives" : "Make an impact on our business", "qualificationsBasic" : "Minimum degree in any subject, English knowledge on intermediate level (B2), Evidence of some work experience or extra-curricular activities, Communication skills and confidence to present ideas to senior, Adaptability and comfort working in a fast-paced, ever-evolving", "qualificationsPreferred" : "Passion, ambition, and drive, A creative, problem-solving mindset", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are an ambitious and forward-thinking global company that builds transformative solutions for our customers to deliver best-in-class technology, connectivity and sustainable mobility solutions. We support our customers with a range of products and services that meet their needs. Since 1990, our ambition has never wavered. Our vision and commitment have allowed us to venture into new markets with confidence and always be at the forefront. Our mission is to help companies of all sizes adapt to the future and take advantage of the opportunities that change brings. This is where you come in. We are consolidating our growth path. We are proud to be at the forefront of technological innovation and invite you to join us on this journey. Our Graduate Programme is LIVE for 2026 and we are looking for eager graduates to join our innovative global company for our programme! Location: Midvalley, Kuala Lumpur Start Date: September 2026; Duration: 24 months; Business Units: Sales & Account Management – Fuel & Telematics Our programme offers successful candidates the chance to join a dynamic and highly successful private business, on a rotational graduate programme across a range of products and departments, including: * Inside Sales – Inbound – Fuel; * Inside Sales – Outbound – Fuel; * Inside Sales – Telematics; * Account Management - Telematics You will spend at least 6 months in each area listed below. You will get hands on experience and responsibility from day one to allow you to make an impact on our business. We are committed to developing your potential and you will be encouraged to drive efficiencies, innovate processes, and collaborate with teams across the business. A director will commit to mentoring you to provide you with advice and guidance throughout the programme. You will be a brand ambassador of Radius , supporting our talent team with brand awareness attending local university job fairs and events, and being a buddy to our new graduates each year. At an operational level: * You will be responsible for direct sales and account management for both our Fuel and Telematics BUs; * You will gain direct experience on the phone working with customers and on targets; * You will have the opportunity to take on managerial tasks – team leadership, coaching and responsibility for individual projects; * In your role, you will receive constant support from local senior leaders and a UK buddy. ## Qualifications * A minimum degree in any subject (achieved or expected); * English knowledge on intermediate level (B2) is required; * Passion, ambition, and drive to succeed; * Evidence of some work experience or extra-curricular activities is a plus; * A creative, problem-solving mindset with the ability to innovate; * Strong communication skills and confidence to present ideas to senior leadership; * Adaptability and comfort working in a fast-paced, ever-evolving environment; ## Additional Information Your impact on Radius will be rewarded with a competitive rewards package plus the opportunity to develop and progress your career in many directions. Recruitment Process * Psychometric testing; * Telephone Interview; * Assessment interviews to be held in January, February, March, June and July; * Final Interview will take place with a Director; * Start date September 2026. Still Curious? If you feel we are a good match for each other, you can apply online now! If you’d like to understand more about the role or life at Radius before applying, then please contact our talent team directly. Radius is an equal opportunities employer. We are committed to welcome people regardless of age, disability, gender identity, race, faith or belief, sexual orientation or socioeconomic background. We are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any adjustments or accommodations at any stage of the process, please let us know, and we will do our best to support you. We reserve the right to close a vacancy before the closing date in the event of an overwhelming response or a change in business priorities. Note to recruitment agencies: We do not accept speculative recruitment agency CVs or profiles. Any unsolicited CV received by Radius will be treated as a gift and not eligible for an agency fee. PSL agencies should only send CVs via our Applicant Tracking System, when approved to do so by the Radius Talent Team.", "summaryDescription" : "Graduate Management Programme 2026 at Radius Limited. Skills: Sales, Account management. Direct sales and account management for Fuel and. Gain direct experience on the phone working with", "postedDate" : "2026-06-15T01:42:58.000", "createdAt" : "2026-06-16T00:23:49.695", "lastUpdated" : "2026-06-16T09:11:58.422", "ingestTimestamp" : "2026-06-16T00:23:49.695", "mongoId" : "6a30616ef292fd229cf967d9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Sales", "Account management", "Team leadership", "Coaching", "Fuel", "Telematics" ], "skillCount" : 6, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305bfcf292fd229cf60557", "title" : "Graduate Management Programme 2026", "company" : "Radius Limited", "industry" : "Transportation/Trucking/Railroad", "salary" : { "min" : 48000.0, "max" : 72000.0, "currency" : "MYM", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level roles in Kuala Lumpur, Malaysia, adjusted for the technology industry." }, "location" : "Kuala Lumpur, Kuala Lumpur, MY", "locations" : [ "Kuala Lumpur", "Kuala Lumpur", "MY" ], "timestamp" : "2026-06-16T09:23:20.516", "fingerprint" : "d8d1778a08abba90082e4ce820e53476e8564f708ffc0ada77036340cc50f0bb", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/RadiusLimited/744000132103798-graduate-management-programme-2026-kuala-lumpur", "externalId" : "744000132103798", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kuala Lumpur", "state" : "Kuala Lumpur", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.1395089,101.6937972" } ], "locationText" : "Kuala Lumpur, Kuala Lumpur, Malaysia", "employmentType" : "FULL_TIME", "minimumEducation" : "degree", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "executive", "professionalSkills" : [ "Sales", "Account management", "Team leadership", "Coaching" ], "majorSkills" : "Sales, Account Management", "majorSkillsList" : [ "Sales", "Account Management" ], "coreResponsibilities" : "Direct sales and account management for Fuel and, Gain direct experience on the phone working with, Take on managerial tasks, Support talent team with brand awareness, Attend local university job fairs and events, Be a buddy to new graduates", "teamCollaboration" : "Collaborate with teams across the business", "domainKnowledge" : "Fuel; Telematics", "domainList" : [ "fuel", "telematics" ], "domainSpecificKnowledge" : [ "Fuel", "Telematics" ], "communicationSkills" : "Present ideas to senior", "continuousLearning" : "Rotational graduate programme; Mentoring by a director; Support from senior leaders; UK buddy support", "problemSolvingSkills" : "Problem-solving mindset", "outcomesObjectives" : "Make an impact on our business", "qualificationsBasic" : "Minimum degree in any subject, English knowledge on intermediate level (B2), Evidence of some work experience or extra-curricular activities, Communication skills and confidence to present ideas to senior, Adaptability and comfort working in a fast-paced, ever-evolving", "qualificationsPreferred" : "Passion, ambition, and drive, A creative, problem-solving mindset", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are an ambitious and forward-thinking global company that builds transformative solutions for our customers to deliver best-in-class technology, connectivity and sustainable mobility solutions. We support our customers with a range of products and services that meet their needs. Since 1990, our ambition has never wavered. Our vision and commitment have allowed us to venture into new markets with confidence and always be at the forefront. Our mission is to help companies of all sizes adapt to the future and take advantage of the opportunities that change brings. This is where you come in. We are consolidating our growth path. We are proud to be at the forefront of technological innovation and invite you to join us on this journey. Our Graduate Programme is LIVE for 2026 and we are looking for eager graduates to join our innovative global company for our programme! Location: Midvalley, Kuala Lumpur Start Date: September 2026; Duration: 24 months; Business Units: Sales & Account Management – Fuel & Telematics Our programme offers successful candidates the chance to join a dynamic and highly successful private business, on a rotational graduate programme across a range of products and departments, including: * Inside Sales – Inbound – Fuel; * Inside Sales – Outbound – Fuel; * Inside Sales – Telematics; * Account Management - Telematics You will spend at least 6 months in each area listed below. You will get hands on experience and responsibility from day one to allow you to make an impact on our business. We are committed to developing your potential and you will be encouraged to drive efficiencies, innovate processes, and collaborate with teams across the business. A director will commit to mentoring you to provide you with advice and guidance throughout the programme. You will be a brand ambassador of Radius , supporting our talent team with brand awareness attending local university job fairs and events, and being a buddy to our new graduates each year. At an operational level: * You will be responsible for direct sales and account management for both our Fuel and Telematics BUs; * You will gain direct experience on the phone working with customers and on targets; * You will have the opportunity to take on managerial tasks – team leadership, coaching and responsibility for individual projects; * In your role, you will receive constant support from local senior leaders and a UK buddy. ## Qualifications * A minimum degree in any subject (achieved or expected); * English knowledge on intermediate level (B2) is required; * Passion, ambition, and drive to succeed; * Evidence of some work experience or extra-curricular activities is a plus; * A creative, problem-solving mindset with the ability to innovate; * Strong communication skills and confidence to present ideas to senior leadership; * Adaptability and comfort working in a fast-paced, ever-evolving environment; ## Additional Information Your impact on Radius will be rewarded with a competitive rewards package plus the opportunity to develop and progress your career in many directions. Recruitment Process * Psychometric testing; * Telephone Interview; * Assessment interviews to be held in January, February, March, June and July; * Final Interview will take place with a Director; * Start date September 2026. Still Curious? If you feel we are a good match for each other, you can apply online now! If you’d like to understand more about the role or life at Radius before applying, then please contact our talent team directly. Radius is an equal opportunities employer. We are committed to welcome people regardless of age, disability, gender identity, race, faith or belief, sexual orientation or socioeconomic background. We are committed to ensuring an inclusive and accessible recruitment process for all candidates. If you require any adjustments or accommodations at any stage of the process, please let us know, and we will do our best to support you. We reserve the right to close a vacancy before the closing date in the event of an overwhelming response or a change in business priorities. Note to recruitment agencies: We do not accept speculative recruitment agency CVs or profiles. Any unsolicited CV received by Radius will be treated as a gift and not eligible for an agency fee. PSL agencies should only send CVs via our Applicant Tracking System, when approved to do so by the Radius Talent Team.", "summaryDescription" : "Graduate Management Programme 2026 at Radius Limited. Skills: Sales, Account Management. Direct sales and account management for Fuel and. Gain direct experience on the phone working with", "postedDate" : "2026-06-15T01:42:58.000", "createdAt" : "2026-06-15T23:54:18.041", "lastUpdated" : "2026-06-16T09:23:20.516", "ingestTimestamp" : "2026-06-15T23:54:18.041", "mongoId" : "6a305bfcf292fd229cf60557", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Sales", "Account Management", "Account management", "Team leadership", "Coaching", "Fuel", "Telematics" ], "skillCount" : 7, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5eb74d8ee00a09b8a90", "title" : "Detection Development Intern, Fall 2026", "company" : "Coveo", "industry" : "Cybersecurity", "salary" : { "min" : 41000.0, "max" : 55000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in Montreal, Canada, adjusted for the SaaS industry." }, "location" : "Montréal, Quebec, Canada", "locations" : [ "Montréal", "Quebec", "Canada" ], "timestamp" : "2026-06-15T07:10:50.067", "fingerprint" : "0d619d245342d9b3db43b02e0c6acc0729325d113907c9a321d78d91263ce35d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.coveo.com/en/company/careers/open-positions?gh_jid=8577229002", "externalId" : "8577229002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montréal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montréal, Quebec, Canada", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SaaS, Cloud, XSIAM, AWS, Cortex XDR", "professionalSkills" : [ "Threat detection", "Security monitoring", "Incident response", "Detection engineering" ], "hardSkillsList" : [ "Build detection rules", "Tune detection rules", "Analyze logs", "Analyze telemetry" ], "softSkillsList" : [ "Curious", "Analytical thinking" ], "hardSkills" : [ { "name" : "Build detection rules", "level" : "intermediate" }, { "name" : "Tune detection rules", "level" : "intermediate" }, { "name" : "Analyze logs", "level" : "intermediate" }, { "name" : "Analyze telemetry", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Analytical thinking" } ], "majorSkills" : "Threat detection, Detection engineering, Security monitoring", "majorSkillsList" : [ "Threat detection", "Detection engineering", "Security monitoring" ], "coreResponsibilities" : "Participate in daily stand-ups, Collaborate with team members, Build detection rules, Tune detection rules, Research service abuse, Analyze logs, Analyze security telemetry, Take active role in discussions, Share your thinking, Ask questions, Receive feedback, Develop your skills, Draw on coach's expertise, Watch best practices, Learn best practices, Apply best practices", "teamCollaboration" : "Collaborate with team members; Daily stand-up meetings", "domainKnowledge" : "Enterprise security; SaaS platforms; Infrastructure footprint; Threat actors; User activity; System behavior; Security events", "domainList" : [ "enterprise-security", "saas-platforms", "infrastructure-footprint", "threat-actors", "user-activity", "system-behavior", "security-events" ], "domainSpecificKnowledge" : [ "Enterprise security", "SaaS platforms", "Infrastructure footprint", "Threat actors", "User activity", "System behavior", "Security events" ], "toolProficiency" : [ "XSIAM", "Cortex XDR" ], "communicationSkills" : "Share thinking; Ask questions; Receive feedback", "continuousLearning" : "Hands-on experience; Gain experience; Develop your skills; Draw on expertise; Watch and learn", "problemSolvingSkills" : "Analytical approach; Technical skills", "specialRequirements" : "Present at office 2 days/week", "outcomesObjectives" : "Strengthen detection coverage; Expand detection capabilities", "qualificationsBasic" : "Studying Software Engineering, Studying Computer Science, Available full-time 15 weeks, Legally entitled to work in Canada", "qualificationsPreferred" : "Familiarity with SIEM, Familiarity with security tooling, Participated in CTF competitions, Personal projects", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "What does it take to detect real threats across a large SaaS environment? Are you curious about how enterprise security teams identify suspicious activity, build detections, and improve visibility across modern cloud and Software as a Service (SaaS) platforms? Coveo is looking for a Detection Engineering Intern to join our Security Operations Center (SOC) team. Your mission? Help us strengthen our detection coverage by building and tuning threat detection rules for the technologies that support Coveo’s production environment. The SOC team plays a key role in protecting Coveo by monitoring security activity, investigating alerts, and continuously improving our ability to detect threats across our SaaS and infrastructure footprint. As an intern, you’ll contribute to initiatives that expand our detection capabilities while gaining hands-on experience with real enterprise threat detection tools in a production environment. Your impact, day to day: Participate in daily stand-up meetings to discuss progress, roadblocks, and priorities. Collaborate with team members to ensure alignment and effective communication. Build and tune detection rules in XSIAM for different technologies, SaaS platforms, and log sources. Research how services and tools could be abused by threat actors in order to identify realistic detection opportunities. Contribute to detection coverage for platforms such as 1Password, AWS, Cortex XDR logs, and other more. Analyze logs and security telemetry to better understand user activity, system behavior, and potential indicators of suspicious activity. Take an active role in discussions around detection quality. Share your thinking, ask questions, and receive feedback to strengthen your analytical approach and technical skills. Develop your skills by drawing on your coach’s expertise. Watch, learn, and apply best practices used in security monitoring, threat detection, and detection engineering. The Essentials: You are currently studying Software Engineering or Computer Science in a Bachelors degree or higher in the province of Québec. You can be present at the office at least two days a week. Our hybrid work model offers flexibility, you can benefit from face-to-face learning from your team on office days while home days allow you to focus and complete complex work. You are available to work full-time for 15 weeks and are legally entitled to do so in Canada. Think you've got what it takes? Let's see! You are curious, eager to learn, and motivated to understand how security tools and systems work. You are able to think analytically and consider the broader context behind security events, instead of focusing only on isolated details. You have an interest in threat detection, security monitoring, incident response, or detection engineering. You have some familiarity with security information and event management (SIEM), core concepts of security tooling. You have participated in some Capture The Flag competitions and/or have a few personal projects. You have a strong sense of ownership and are proud of what you create. Join the Coveolife! Do you think you can bring this role to life? Send us your application, we want to hear from you! We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume. Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.", "summaryDescription" : "Detection Development Intern, Fall 2026 at Coveo. Skills: Threat detection, Detection engineering, Security monitoring. Participate in daily stand-ups. Collaborate with team members", "postedDate" : "2026-06-14T03:53:54.965", "createdAt" : "2026-06-14T03:53:54.965", "lastUpdated" : "2026-06-15T07:10:50.067", "ingestTimestamp" : "2026-06-14T03:53:54.965", "mongoId" : "6a2ca5eb74d8ee00a09b8a90", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Build detection rules", "Tune detection rules", "Analyze logs", "Analyze telemetry", "Curious", "Analytical thinking", "Threat detection", "Detection engineering", "Security monitoring", "Incident response", "Enterprise security", "SaaS platforms", "Infrastructure footprint", "Threat actors", "User activity", "System behavior", "Security events", "XSIAM", "Cortex XDR" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c901e74d8ee00a097f5af", "title" : "Business Development Intern - Fall 2026", "company" : "RF-SMART", "industry" : "SaaS", "salary" : { "min" : 20.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Jacksonville, Florida, United States", "locations" : [ "Jacksonville", "Florida", "United States" ], "timestamp" : "2026-06-15T06:49:34.077", "fingerprint" : "bad1fd18610d3e32ec89c0cbb5f8c029e012fce9310b7172622da6bd17f993e1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/rfsmart/jobs/5230703008", "externalId" : "5230703008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Jacksonville", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.3262247,-81.6579179" } ], "locationText" : "Jacksonville, Florida, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Sales revenue goals", "Prospecting strategies", "Sales strategies", "Sales cycle" ], "hardSkillsList" : [ "Email outreach", "Phone outreach", "LinkedIn outreach" ], "hardSkills" : [ { "name" : "Email outreach", "level" : "intermediate" }, { "name" : "Phone outreach", "level" : "intermediate" }, { "name" : "LinkedIn outreach", "level" : "intermediate" } ], "majorSkills" : "Demand generation, Lead nurturing, CRM management", "majorSkillsList" : [ "Demand generation", "Lead nurturing", "CRM management" ], "coreResponsibilities" : "Support sales revenue goals, Execute demand generation campaigns, Research potential customers, Identify potential customers, Initiate outreach to customers, Craft personalized messaging, Support lead generation efforts, Determine fit against ICP, Assist in developing outreach sequences, Assist in developing cadences, Build relationships with customers, Monitor prospect engagement signals, Tailor follow-up outreach, Support moving MQLs to SQLs, Apply sales strategies, Apply sales techniques, Understand prospect pain points, Position RF-SMART value, Maintain prospect records, Maintain interaction records, Maintain activity records, Maintain pipeline status, Ensure data integrity, Assist in identifying duplicates, Assist in cleaning duplicates, Assist in cleaning outdated records, Assist in cleaning incomplete records, Improve database quality, Work closely with Marketing, Work closely with Sales, Align outreach efforts, Participate in team meetings, Participate in sales calls, Participate in training sessions, Contribute ideas on strategies, Contribute ideas on messaging, Contribute ideas on tools", "teamCollaboration" : "Marketing and Sales teams", "domainKnowledge" : "Sales processes; Client relationships; Revenue generation; Deal closure; Ideal customer profile", "domainList" : [ "sales-processes", "client-relationships", "revenue-generation", "deal-closure", "ideal-customer-profile" ], "domainSpecificKnowledge" : [ "Sales processes", "Client relationships", "Revenue generation", "Deal closure", "Ideal customer profile" ], "toolProficiency" : [ "NetSuite", "Microsoft Office" ], "communicationSkills" : "Written communication; Interpersonal skills; Presentation skills; Phone skills", "continuousLearning" : "Deepen understanding of sales cycle", "qualificationsBasic" : "Currently enrolled in degree program, Junior or Senior classification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Business Development Internship - Fall 2026 US East Office (Jacksonville, FL) We exist to transform our customers and change lives Who We're Looking For The Business Development Intern is responsible for supporting the Marketing team in generating new business opportunities by contacting and developing relationships with potential customers. Your primary function is to nurture marketing leads through email and other channels, as well as to maintain all data accurately in CRM (NetSuite). You will join a team of marketing professionals focused on transforming more Customers and changing more lives. The intern will be reporting to the Jacksonville, FL office. Details of the Internship: Duration: 8/17/2026 - 12/11/2026 Hours: 20-25 hours/week Pay: $20 per hour What You'll Do: Demand Generation & Prospecting Support sales revenue goals by executing demand generation campaigns across multiple outreach channels Research and identify potential customers by analyzing target industries, company profiles, and key decision-makers to build qualified prospect lists Initiate outreach to prospective customers through email, phone, and LinkedIn, crafting personalized messaging that speaks to their specific business challenges Support inbound and outbound lead generation efforts to determine fit against RF-SMART's ideal customer profile (ICP) Assist in developing outreach sequences and cadences that improve response rates and move prospects through the funnel Lead Nurturing & Relationship Building Build trusted relationships with prospective customers through consistent, thoughtful communication across the full nurture cycle Monitor prospect engagement signals — email opens, content downloads, website activity — and use those insights to time and tailor follow-up outreach Support the team in moving marketing-qualified leads (MQLs) toward sales-qualified leads (SQLs) through strategic touchpoints Learn and apply sales strategies and techniques to better understand prospect pain points and position RF-SMART's value effectively CRM & Data Management Maintain accurate, up-to-date records of all prospect interactions, activities, and pipeline status within CRM Ensure data integrity across contact records, account information, and lead statuses to support reliable reporting Assist in identifying and cleaning duplicate, outdated, or incomplete records to improve overall database quality Collaboration & Professional Development Work closely with the Marketing and Sales teams to align outreach efforts with active campaigns and messaging initiatives Participate in team meetings, sales calls, and training sessions to deepen your understanding of the full sales cycle Contribute ideas and feedback on prospecting strategies, messaging, and tools as you develop your skills What You Bring: Strong written communication skills with a keen eye for detail Excellent interpersonal, presentation, and phone skills Proficiency in Microsoft Office applications Ability to work independently, prioritize effectively, and meet deadlines Creative, energetic, and highly organized with strong time management skills Currently enrolled in a degree program and classified as a Junior or Senior by credit hours Employer does not sponsor applicants for employment visa status (e. g. H-1B visa status). General Information: The above noted job description is not intended to be an exhaustive list of all duties and responsibilities that may be assigned, but rather to give a general sense of the responsibilities and expectations of the job. As the nature of business demands change so, too, may the essential functions of this specific position and/or the skills and abilities required. RF-SMART is an Equal Employment Opportunity (EEO) employer. A Word From Our CEO - Watch Now", "summaryDescription" : "Business Development Intern - Fall 2026 at RF-SMART. Skills: Demand generation, Lead nurturing, CRM management. Support sales revenue goals. Execute demand generation campaigns", "postedDate" : "2026-06-14T02:13:02.076", "createdAt" : "2026-06-14T02:13:02.076", "lastUpdated" : "2026-06-15T06:49:34.077", "ingestTimestamp" : "2026-06-14T02:13:02.076", "mongoId" : "6a2c901e74d8ee00a097f5af", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Email outreach", "Phone outreach", "LinkedIn outreach", "Demand generation", "Lead nurturing", "CRM management", "Sales revenue goals", "Prospecting strategies", "Sales strategies", "Sales cycle", "Sales processes", "Client relationships", "Revenue generation", "Deal closure", "Ideal customer profile", "NetSuite", "Microsoft Office" ], "skillCount" : 17, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a849bc74574cbbb4e94", "title" : "Software Development Intern", "company" : "Amazon AWS Services Brazil Ltd", "industry" : "Administrative Support, Support Engineering, Cloud Computing", "salary" : { "min" : 36000.0, "max" : 60000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on 2024-2025 market data for an entry-level Software Development Intern position at a large technology company in Sao Paulo, Brazil, adjusted for the specific industry and seniority level." }, "location" : "Sao Paulo, Sao Paulo, BRA", "locations" : [ "Sao Paulo, Sao Paulo, BRA" ], "timestamp" : "2026-06-15T02:46:22.072", "fingerprint" : "4cfb3b585b9b0568dae6fae81ab1d2ada88727504ff31069e163c3ec6a9ca506", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3192393/apply", "externalId" : "a0b86d77-4dc4-4ec3-9d98-3e5a49f43248", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sao Paulo", "state" : "Sao Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5506507,-46.6333824" } ], "locationText" : "Sao Paulo, Sao Paulo, Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Java, C/C++, Python, Object-oriented design, Algorithm design, Data structures, Problem solving, Complexity analysis, Distributed systems, Data mining, Automation, Optimization, Scalability, Security, Amazon Web Services", "professionalSkills" : [ "System design", "Industry changes" ], "hardSkillsList" : [ "Computer Science fundamentals", "Optimization mathematics" ], "hardSkills" : [ { "name" : "Computer Science fundamentals", "level" : "intermediate" }, { "name" : "Optimization mathematics", "level" : "intermediate" } ], "majorSkills" : "Software Development, Distributed Systems, Cloud Computing", "majorSkillsList" : [ "Software Development", "Distributed Systems", "Cloud Computing" ], "coreResponsibilities" : "Collaborate with Amazonians, Conceive products and services, Design products and services, Bring products to market, Design innovative technologies, Build innovative technologies, Create solutions for predictions, Build distributed storage systems, Build index systems, Build query systems, Design solutions, Code solutions, Work in agile environment, Deliver high-quality software", "teamCollaboration" : "Cross-disciplinary teams; Experienced SDEs", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Distributed systems; Data mining; Automation; Optimization; Scalability; Security; Distributed computing", "domainList" : [ "distributed-systems", "data-mining", "automation", "optimization", "scalability", "security", "distributed-computing" ], "domainSpecificKnowledge" : [ "Distributed systems", "Data mining", "Automation", "Optimization", "Scalability", "Security", "Distributed computing" ], "communicationSkills" : "Articulate technical challenges", "continuousLearning" : "Developing new skills; Personal growth; Professional development; Expand network; Learn in real-world setting", "innovationCreativity" : "Innovate; Build on behalf of customers; Define tomorrow; Innovative products; Innovative services; Innovative technologies", "problemSolvingSkills" : "Problem solving; Complex technical challenges", "specialRequirements" : "30 hours/week", "qualificationsBasic" : "Currently enrolled in Bachelor's or Master's, Available to complete 12-month internship, Knowledge of Java, C/C++ or Python, Knowledge of Computer Science fundamentals, Advanced knowledge of English", "qualificationsPreferred" : "Previous technical internship(s), Experience with distributed systems, Experience with multi-tiered systems, Experience with algorithms, Experience with relational databases, Experience in optimization mathematics, Ability to articulate technical challenges, Ability to handle ambiguous problems, Ability to think abstractly", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The intense focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our interns write real software and collaborate with a select group of experienced software development engineers (SDEs) who guide interns on projects that matter to our customers. As an intern, you will be matched to a manager and a mentor. You will have the opportunity to influence the evolution of Amazon technology and lead mission critical projects early in your career. Your design, code, and raw smarts will contribute to solving some of the most complex technical challenges in the areas of distributed systems, data mining, automation, optimization, scalability, and security – just to name a few. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting. Many of our technologies overlap, and you would be hard pressed to find a team that is not using Amazon Web Services (AWS), touching the catalogue, or iterating services to better personalize for customers. If this opportunity interests you, apply and come chart your own path at Amazon. Key job responsibilities • Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. • Design and build innovative technologies in a large distributed computing environment, and help lead fundamental changes in the industry. • Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. • Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. • Ability to design and code the right solutions starting with broadly defined problems. • Work in an agile environment to deliver high-quality software. Basic Qualifications: • Currently enrolled in a Bachelor’s or Master’s Degree in Computer Science, Computer Engineering, or related field at time of application. • Available to complete a 12-month internship working 30hs/week • Knowledge of the syntax of languages such as Java, C/C++ or Python. • Knowledge of Computer Science fundamentals such as object-oriented design, algorithm design, data structures, problem solving, and complexity analysis. • Advanced knowledge of English Preferred Qualifications: • Previous technical internship(s), if applicable. • Experience with distributed, multi-tiered systems, algorithms, and relational databases. • Experience in optimization mathematics such as linear programming and nonlinear optimization. • Ability to effectively articulate technical challenges and solutions. • Adept at handling ambiguous or undefined problems as well as ability to think abstractly. 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 Intern at Amazon AWS Services Brazil Ltd. Skills: Software Development, Distributed Systems, Cloud Computing. Collaborate with Amazonians. Conceive products and services", "postedDate" : "2026-06-13T07:28:45.184", "createdAt" : "2026-06-13T07:28:45.184", "lastUpdated" : "2026-06-15T02:46:22.072", "ingestTimestamp" : "2026-06-13T07:28:45.184", "mongoId" : "69c94a849bc74574cbbb4e94", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3192393/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Computer Science fundamentals", "Optimization mathematics", "Software Development", "Distributed Systems", "Cloud Computing", "System design", "Industry changes", "Agile", "Distributed systems", "Data mining", "Automation", "Optimization", "Scalability", "Security", "Distributed computing" ], "skillCount" : 15, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305b49f292fd229cf5bf3e", "title" : "Backend Software Engineer", "company" : "Next Insurance", "industry" : "Insurance", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Backend Software Engineer in Waltham, United States, adjusted for industry and company size." }, "location" : "Boston, MA", "locations" : [ "Boston", "MA" ], "timestamp" : "2026-06-16T08:25:13.235", "fingerprint" : "01980cdfdf1677b001126e1914bd816c27d0122704bc59de57aee2e67c3a3722", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nextinsurance66/jobs/7766017003", "externalId" : "7766017003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Location: Waltham, MA (hybrid) ERGO NEXT’s mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience. Simply put, wherever you find small businesses, you’ll find ERGO NEXT. Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in. Our Backend Software Engineer can expect to work with the latest backend technologies and programming languages. We’re big fans of server-side Kotlin, and we produce clean, testable code fast and push it into production several times a day via our CI / CD pipeline. What You’ll Do: You will work closely with other functional areas in the company product, Marketing, and Front-end engineers to rapidly iterate on our product and find the best solutions to our challenges. You will take ownership of features – from inception through design and coding, eventually bringing your feature to production at a high level of quality and test coverage. What We Need: At least 8-10 years of proven experience in Backend development. Java/Kotlin or similar languages (Python, .NET). A B.Sc. in Computer Science or equivalent is a must. Excellent knowledge and understanding of OOP concepts and best practices Hands-on development of highly distributed, cloud-based environments - an advantage. We work with AWS, but any cloud experience is a plus. Experience working with Relational Databases and good SQL skills. Adaptable, with a passion for quickly learning new technologies and working effectively in a dynamic environment Ability to navigate and work effectively across diverse domains and contexts. Excellent interpersonal and communication skills Note on Fraudulent Recruiting We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency. The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more. US annual base salary range for this full-time position: $127,000—$171,000 USD Don’t meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.", "summaryDescription" : "Backend Software Engineer at Next Insurance", "postedDate" : "2026-06-15T23:22:47.091", "createdAt" : "2026-06-15T23:22:47.091", "lastUpdated" : "2026-06-16T08:25:13.235", "ingestTimestamp" : "2026-06-15T23:22:47.091", "mongoId" : "6a305b49f292fd229cf5bf3e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.98 }, { "id" : "69e104402beec4dd3def2596", "title" : "2026 Graduate Software Dev Engineer", "company" : "Amazon Data Services Israel", "industry" : "Software Development, studentprograms", "salary" : { "min" : 180000.0, "max" : 240000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level software engineers in Haifa, Israel, adjusted for the technology industry and a large company size." }, "location" : "Haifa, Haifa, ISR", "locations" : [ "Haifa, Haifa, ISR" ], "timestamp" : "2026-06-15T00:05:35.714", "fingerprint" : "44558b3bb0d622d3e6bc0c2adc684c9a77f00c5d0df2ea069d7644541f563e24", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386987/apply", "externalId" : "1ff6f8fe-41a8-404e-bfe5-d58d7bf78f7e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Haifa", "state" : "Haifa", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.8191218,34.9983856" } ], "locationText" : "Haifa, Haifa, Israel", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Java, Python, C++, C#, Go, Rust, TypeScript, GenAI, AI", "professionalSkills" : [ "Object-oriented design", "System design", "Agile environment", "CI/CD principles", "Operational excellence" ], "hardSkillsList" : [ "Data structures implementation", "Basic algorithm development", "Object-oriented design" ], "hardSkills" : [ { "name" : "Data structures implementation", "level" : "intermediate" }, { "name" : "Basic algorithm development", "level" : "intermediate" }, { "name" : "Object-oriented design", "level" : "intermediate" } ], "majorSkills" : "Software Development, Cloud-native architectures, Microservices", "majorSkillsList" : [ "Software Development", "Cloud-native architectures", "Microservices" ], "coreResponsibilities" : "Collaborate and communicate effectively, Design innovative products and services, Build innovative products and services, Operate innovative products and services, Participate in technical discussions, Drive solutions forward, Design scalable solutions, Develop scalable solutions, Participate in code reviews, Contribute to technical documentation, Build resilient distributed systems, Maintain resilient distributed systems, Leverage GenAI tools, Contribute to development of GenAI tools, Leverage AI-powered tools, Contribute to development of AI-powered tools, Stay current with emerging technologies, Write clean code, Write maintainable code, Follow best practices, Follow design patterns, Work in an agile environment, Practice CI/CD principles, Participate in operational responsibilities, Perform on-call duties, Demonstrate operational excellence, Monitor production issues, Troubleshoot production issues, Resolve production issues", "teamCollaboration" : "Experienced cross-disciplinary Amazonians; Technical discussions", "projectManagementSkills" : [ "Agile environment", "CI/CD principles" ], "domainKnowledge" : "Cloud-native architectures; Microservices; Distributed computing environment; Distributed systems", "domainList" : [ "cloud-native-architectures", "microservices", "distributed-computing-environment", "distributed-systems" ], "domainSpecificKnowledge" : [ "Cloud-native architectures", "Microservices", "Distributed computing environment", "Distributed systems" ], "communicationSkills" : "Technical documentation; Written communication; Verbal communication", "documentationSkills" : "Technical documentation", "continuousLearning" : "Culture of learning; Mentorship", "innovationCreativity" : "Innovative technology; Creating new products; Creating new features; Creating new services", "problemSolvingSkills" : "Solve real customer problems; Solve complex problems; Troubleshooting complex systems; Problem-solving skills; Analytical skills", "specialRequirements" : "On-call duties", "qualificationsBasic" : "Currently enrolled in Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields or completed Bachelor's or Graduate degree in specified fields, Graduated within the last 24 months, Demonstrated experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript, Demonstrated experience one or more of the following: Data structures implementation, Basic algorithm development, Object-oriented design principles", "qualificationsPreferred" : "Previous technical internship(s), Demonstrated project experience, Experience with AI tools for development productivity, Experience with Cloud platforms, Experience with AWS, Experience with Database systems, Experience with SQL, Experience with NoSQL, Contributing to open-source projects, Experience with Version control systems, Experience with Debugging and troubleshooting complex systems, problem-solving and analytical skills, Excellent written and verbal communication skills, Demonstrated ability to learn and adapt to new technologies quickly, Basic understanding of software development lifecycle (SDLC)", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. Our Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDEs solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years. At Amazon, we believe in ownership at every level. As an SDE-I, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth. Key job responsibilities - Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward. - Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment. - Participate in code reviews and contribute to technical documentation. - Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective. - Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies. - Write clean, maintainable code following best practices and design patterns. - Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties. - Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues. Basic Qualifications: - Education Requirements (must meet one): Currently enrolled in Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields or completed Bachelor's or Graduate degree in specified fields - Graduated within the last 24 months - Demonstrated experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript - Demonstrated experience one or more of the following: Data structures implementation, Basic algorithm development, Object-oriented design principles Preferred Qualifications: - Previous technical internship(s) or demonstrated project experience - Experience with one or more of the following: AI tools for development productivity, Cloud platforms (preferably AWS), Database systems (SQL and NoSQL), Contributing to open-source projects, Version control systems, Debugging and troubleshooting complex systems - Strong problem-solving and analytical skills - Excellent written and verbal communication skills - Demonstrated ability to learn and adapt to new technologies quickly - Basic understanding of software development lifecycle (SDLC) 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" : "2026 Graduate Software Dev Engineer at Amazon Data Services Israel. Skills: Software Development, Cloud-native architectures, Microservices. Collaborate and communicate effectively. Design innovative products and services", "postedDate" : "2026-06-13T03:30:43.466", "createdAt" : "2026-06-13T03:30:43.466", "lastUpdated" : "2026-06-15T00:05:35.714", "ingestTimestamp" : "2026-06-13T03:30:43.466", "mongoId" : "69e104402beec4dd3def2596", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386987/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data structures implementation", "Basic algorithm development", "Object-oriented design", "Software Development", "Cloud-native architectures", "Microservices", "System design", "Agile environment", "CI/CD principles", "Operational excellence", "Distributed computing environment", "Distributed systems" ], "skillCount" : 12, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca5eb74d8ee00a09b8a8f", "title" : "Detection Development Intern, Fall 2026", "company" : "Coveo", "industry" : "Cybersecurity", "salary" : { "min" : 41000.0, "max" : 55000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in Montreal, Canada, adjusted for the SaaS industry." }, "location" : "Montréal, Quebec, Canada", "locations" : [ "Montréal", "Quebec", "Canada" ], "timestamp" : "2026-06-15T03:21:15.775", "fingerprint" : "5fa02c8ed99488ce6a27bddcdf90e89dcd0564c25d9c2636bcf6d506b2fd9e97", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.coveo.com/en/company/careers/open-positions?gh_jid=8588549002", "externalId" : "8588549002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Montréal", "state" : "Quebec", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "45.5031824,-73.5698065" } ], "locationText" : "Montréal, Quebec, Canada", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SaaS, Cloud, XSIAM, AWS, Cortex XDR", "professionalSkills" : [ "Threat detection", "Security monitoring", "Incident response", "Detection engineering" ], "hardSkillsList" : [ "Build detection rules", "Tune detection rules", "Analyze logs", "Analyze telemetry" ], "softSkillsList" : [ "Curious", "Analytical thinking" ], "hardSkills" : [ { "name" : "Build detection rules", "level" : "intermediate" }, { "name" : "Tune detection rules", "level" : "intermediate" }, { "name" : "Analyze logs", "level" : "intermediate" }, { "name" : "Analyze telemetry", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Analytical thinking" } ], "majorSkills" : "Threat detection, Detection engineering, Security operations", "majorSkillsList" : [ "Threat detection", "Detection engineering", "Security operations" ], "coreResponsibilities" : "Participate in daily stand-ups, Collaborate with team members, Build detection rules, Tune detection rules, Research service abuse, Identify detection opportunities, Analyze logs, Analyze security telemetry, Take active role in discussions, Share your thinking, Ask questions, Receive feedback, Draw on coach's expertise, Watch best practices, Learn best practices, Apply best practices", "teamCollaboration" : "Collaborate with team members; Face-to-face learning", "domainKnowledge" : "Enterprise security; SaaS platforms; Cloud infrastructure; Threat actors; Security telemetry", "domainList" : [ "enterprise-security", "saas-platforms", "cloud-infrastructure", "threat-actors", "security-telemetry" ], "domainSpecificKnowledge" : [ "Enterprise security", "SaaS platforms", "Cloud infrastructure", "Threat actors", "Security telemetry" ], "toolProficiency" : [ "XSIAM", "Cortex XDR" ], "communicationSkills" : "Share thinking; Ask questions; Receive feedback", "continuousLearning" : "Gain hands-on experience; Develop your skills; Learn best practices", "problemSolvingSkills" : "Analytical approach; Consider broader context", "outcomesObjectives" : "Strengthen detection coverage; Expand detection capabilities", "qualificationsBasic" : "Studying Software Engineering, Studying Computer Science, Available full-time 15 weeks, Legally entitled to work, Present at office 2 days/week", "qualificationsPreferred" : "Familiarity with SIEM, Familiarity with security tooling, Participated in CTF, Personal projects", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "What does it take to detect real threats across a large SaaS environment? Are you curious about how enterprise security teams identify suspicious activity, build detections, and improve visibility across modern cloud and Software as a Service (SaaS) platforms? Coveo is looking for a Detection Engineering Intern to join our Security Operations Center (SOC) team. Your mission? Help us strengthen our detection coverage by building and tuning threat detection rules for the technologies that support Coveo’s production environment. The SOC team plays a key role in protecting Coveo by monitoring security activity, investigating alerts, and continuously improving our ability to detect threats across our SaaS and infrastructure footprint. As an intern, you’ll contribute to initiatives that expand our detection capabilities while gaining hands-on experience with real enterprise threat detection tools in a production environment. Your impact, day to day: Participate in daily stand-up meetings to discuss progress, roadblocks, and priorities. Collaborate with team members to ensure alignment and effective communication. Build and tune detection rules in XSIAM for different technologies, SaaS platforms, and log sources. Research how services and tools could be abused by threat actors in order to identify realistic detection opportunities. Contribute to detection coverage for platforms such as 1Password, AWS, Cortex XDR logs, and other more. Analyze logs and security telemetry to better understand user activity, system behavior, and potential indicators of suspicious activity. Take an active role in discussions around detection quality. Share your thinking, ask questions, and receive feedback to strengthen your analytical approach and technical skills. Develop your skills by drawing on your coach’s expertise. Watch, learn, and apply best practices used in security monitoring, threat detection, and detection engineering. The Essentials: You are currently studying Software Engineering or Computer Science in a Bachelors degree or higher in the province of Québec. You can be present at the office at least two days a week. Our hybrid work model offers flexibility, you can benefit from face-to-face learning from your team on office days while home days allow you to focus and complete complex work. You are available to work full-time for 15 weeks and are legally entitled to do so in Canada. Think you've got what it takes? Let's see! You are curious, eager to learn, and motivated to understand how security tools and systems work. You are able to think analytically and consider the broader context behind security events, instead of focusing only on isolated details. You have an interest in threat detection, security monitoring, incident response, or detection engineering. You have some familiarity with security information and event management (SIEM), core concepts of security tooling. You have participated in some Capture The Flag competitions and/or have a few personal projects. You have a strong sense of ownership and are proud of what you create. Join the Coveolife! Do you think you can bring this role to life? Send us your application, we want to hear from you! We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume. Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.", "summaryDescription" : "Detection Development Intern, Fall 2026 at Coveo. Skills: Threat detection, Detection engineering, Security operations. Participate in daily stand-ups. Collaborate with team members", "postedDate" : "2026-06-13T21:59:38.666", "createdAt" : "2026-06-13T21:59:38.666", "lastUpdated" : "2026-06-15T03:21:15.775", "ingestTimestamp" : "2026-06-13T21:59:38.666", "mongoId" : "6a2ca5eb74d8ee00a09b8a8f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Build detection rules", "Tune detection rules", "Analyze logs", "Analyze telemetry", "Curious", "Analytical thinking", "Threat detection", "Detection engineering", "Security operations", "Security monitoring", "Incident response", "Enterprise security", "SaaS platforms", "Cloud infrastructure", "Threat actors", "Security telemetry", "XSIAM", "Cortex XDR" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca63774d8ee00a09ba22b", "title" : "Director, Backend Engineering", "company" : "Galaxy", "industry" : "FinTech", "salary" : { "min" : 275000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T03:36:47.035", "fingerprint" : "6b94a1eb904ec9b622d359dc01ca1be874a9bcc099e6025ca3b05fba68e5a8a5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/galaxydigitalservices/jobs/6022147004", "externalId" : "6022147004", "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", "experienceLevel" : "Director", "technicalSkills" : "Node, Express, TypeScript, Nest.js, SQL, NoSQL, Microservices, Event based architecture, AWS, Azure, GCP", "professionalSkills" : [ "System design", "API design" ], "hardSkillsList" : [ "Back-end development", "REST API development" ], "hardSkills" : [ { "name" : "Back-end development", "level" : "intermediate" }, { "name" : "REST API development", "level" : "intermediate" } ], "majorSkills" : "Back-end development, API development, System architecture", "majorSkillsList" : [ "Back-end development", "API development", "System architecture" ], "coreResponsibilities" : "Design back-end systems, Develop back-end systems, Maintain back-end systems, Design APIs, Develop APIs, Maintain APIs, Design databases, Develop databases, Maintain databases, Foster technical excellence, Foster collaboration, Foster continuous learning, Collaborate with front-end developers, Collaborate with product managers, Collaborate with DevOps teams, Architect scalable solutions, Architect secure solutions, Architect efficient solutions, Implement code quality best practices, Implement testing best practices, Implement deployment best practices, Conduct code reviews, Use automated testing frameworks, Stay current with technologies, Recommend innovative improvements, Adopt AI, Leverage AI tools", "teamCollaboration" : "Front-end developers; Product managers; DevOps teams", "domainKnowledge" : "Digital assets; Blockchain; Fintech; Crypto economy; Web3; AI; Data center infrastructure; High-performance computing", "domainList" : [ "digital-assets", "blockchain", "fintech", "crypto-economy", "web3", "ai", "data-center-infrastructure", "high-performance-computing" ], "domainSpecificKnowledge" : [ "Digital assets", "Blockchain", "Fintech", "Crypto economy", "Web3", "AI", "Data center infrastructure", "High-performance computing" ], "continuousLearning" : "Continuous learning", "innovationCreativity" : "Innovate in crypto economy", "qualificationsBasic" : "Bachelor's degree in computer science, 10+ years of experience in back-end development, 2 years in a senior role, Experience from a retail brokerage, Hands-on development experience in Node, Hands-on development experience in Express, Hands-on development experience in TypeScript, Experience with Nest.js, Experience with SQL, Experience with Microservices, Experience with Event based architecture, Familiarity with AWS, Familiarity with Azure, Familiarity with GCP", "qualificationsPreferred" : "Some exposure to NoSQL", "remoteFriendly" : true, "rawDescription" : "Who We Are: Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we’re building the products and services to make that future a reality. Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U. S. We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI. Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. To learn more about our businesses and products, visit www.galaxy.com. What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. About GalaxyOne GalaxyOne is designed for individual investors who want the best of both traditional and digital markets. Its core offerings include competitive yield on cash deposits for U.S.-based individual investors and 8.00% yield through Galaxy Premium Yield for U. S. accredited investors, as well as seamless access to crypto and equities trading and the ability to reinvest earned interest into bitcoin or other supported crypto, all in one precision-built platform. GalaxyOne, backed by Galaxy Digital Inc (NASDAQ/TSX: GLXY), benefits from the firm's proven financial expertise, risk management and white-glove client service. Additional information about GalaxyOne is available at galaxy.app and you can learn even more here: \"The Launch of GalaxyOne with Zac Prince\" and \"GalaxyOne on FOX Business.\" Who You Are: This role is a Senior Back End Developer for an exciting new business initiative at Galaxy. In this position, you’ll design, develop, and optimize robust, scalable software back end that powers our web and mobile applications for a new product offering. You will join a team of back-end developers, ensuring the reliability, security, and performance of our platforms while collaborating with front-end, product, and infrastructure teams. Your expertise will help drive the architecture of our product offerings, supporting Galaxy’s mission to innovate in the crypto economy. What You’ll Do: Design, develop, and maintain high-performance back-end systems, APIs, and databases that support the business’s web and mobile applications. Help foster a culture of technical excellence, collaboration, and continuous learning. Collaborate with front-end developers, product managers, and DevOps teams to ensure seamless integration and delivery of features and services. Architect scalable, secure, and efficient server-side solutions that meet fintech industry standards and handle high transaction volumes. Implement best practices for code quality, testing, and deployment, including code reviews and automated testing frameworks. Stay current with emerging technologies and trends in back-end development, blockchain, and fintech to recommend innovative improvements. Embrace and champion the thoughtful adoption of AI to improve team performance and business outcomes. Leverage AI tools (e.g., generative AI, automation platforms, data copilots) to improve productivity, decision-making, and output quality in your day-to-day work. What We’re Looking For: Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience). 10+ years of experience in back-end development, with at least 2 years in a senior role. Must have experience from a retail brokerage. Hands-on development experience in Node, Express, TypeScript and related frameworks like Nest.js to build REST API's and other services. Strong experience with SQL and some exposure to NoSQL is nice to have. Experience with Microservices and Event based architecture. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) Experience in using Caching and Messaging Queues like Kafka. Experience using Postman and Git / Bitbucket. Bonus Points: Prior experience working in a startup, taking a product from zero to one. What We Offer (US): Competitive base salary and discretionary bonus Flexible Time Off (i. e. unlimited paid vacation days) Company paid Holidays (11) Company paid sick leave Company-paid health and protective benefits for employees, partners, and other dependents 3% 401(k) company contribution Generous paid Parental Leave Free virtual coaching and counseling sessions through Headspace Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. The base salary ranges included below will be commensurate with candidate experience, expertise and local market. Final offer amounts are determined by multiple factors, including candidate experience and expertise. At Galaxy, we maintain a total compensation philosophy which consists of a competitive base salary, annual bonus, and equity incentives. Base Salary Range $275,000—$300,000 USD Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.", "summaryDescription" : "Director, Backend Engineering at Galaxy. Skills: Back-end development, API development, System architecture. Design back-end systems. Develop back-end systems", "postedDate" : "2026-06-14T21:39:29.000", "createdAt" : "2026-06-14T21:39:29.000", "lastUpdated" : "2026-06-16T03:36:47.035", "ingestTimestamp" : "2026-06-14T21:39:29.000", "mongoId" : "6a2ca63774d8ee00a09ba22b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 275000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Back-end development", "REST API development", "API development", "System architecture", "System design", "API design", "Digital assets", "Blockchain", "Fintech", "Crypto economy", "Web3", "AI", "Data center infrastructure", "High-performance computing" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305032f292fd229ceed4f5", "title" : "Software Engineer, Backend", "company" : "VITL", "industry" : "Research & Development", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer in Nashville, adjusted for the healthcare industry and company size." }, "location" : "Nashville", "locations" : [ "Nashville" ], "timestamp" : "2026-06-16T08:53:24.093", "fingerprint" : "1bd64383fb3bb33700bbe6f68f79506f4363d5fbf65017fa385ecca9b03b7b16", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/vitl/89aa9bfb-f035-492a-a6e3-428264cf68cd/application", "externalId" : "89aa9bfb-f035-492a-a6e3-428264cf68cd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" } ], "locationText" : "Nashville, Tennessee, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "THE ROLE We are hiring exceptional backend software engineers to architect and build our platform. You'll be among our first engineers, working directly with our Head of Product & Engineering and the CEO to design and implement the core architecture that everything else will be built on. This is a true 0-to-1 opportunity. You'll have enormous influence over our technical decisions, own significant parts of the product, and help define our engineering culture as we grow the team. This role is ideal for someone who loves moving quickly, cares deeply about product quality, and thrives in high-ownership environments. WHAT YOU’LL DO - Greenfield architecture: You'll design and build our core systems – APIs, database architecture, infrastructure, and data pipelines – while optimizing for performance and maintainability. - Real ownership: You'll own entire features end-to-end, from talking to users and stakeholders to writing specs, understanding our strategy, and shipping to production. - Healthcare impact: You’ll work on real-world problems that directly improve patient care. - Fast iteration: We move quickly, ship constantly, and learn from real users. WHAT YOU BRING - 5+ years experience building and shipping production systems with modern backend technologies: cloud platforms (AWS/GCP), databases (Postgres/MySQL, DynamoDB, Spanner, or similar), APIs, data pipelines (Airflow, Dagster, or similar), and modern languages (Python, Golang, Java/Kotlin, or similar) - Track record of taking ownership and startup mentality: You've built something meaningful from scratch – led projects, started a company, built a side project, or worked at an early-stage startup. You thrive in ambiguity, move fast, and care about solving real problems with unfailing attention to detail. - Strong communication skills: You can write clearly and make persuasive technical arguments. PREFERRED - Experience with BaaS platforms (Supabase, Firebase, Railway, Hasura, or similar) - Familiarity with AI-native coding tools (Claude Code, Cursor) - Healthcare domain knowledge (HIPAA, EPCS, PDMP, EHR/EMR systems) - Front-end expertise (React, TypeScript, Next.js, or similar) COMPENSATION The base salary range for this role is competitive and will be determined based on the candidate’s relevant skills, experience, and geographic location. In addition to base pay, total compensation may include performance-based incentives, benefits and company options. SECURITY, PRIVACY & COMPLIANCE This role may handle PHI/PII and must follow HIPAA, company privacy policies, and least-privilege access practices. EEO & INCLUSION VITL is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics. If you meet most—but not all—requirements, we encourage you to apply. ABOUT VITL VITL is a Nashville-based healthtech company providing beautifully simple e-prescribing infrastructure for cash-pay medical practices. Through its open pharmacy marketplace, VITL connects clinics with verified 503A compounding pharmacies nationwide, enabling real-time price comparison, multi-pharmacy ordering, and Amazon-style patient tracking, all through a single, elegant interface. Founded in 2024, VITL serves over 700 clinics representing 175,000 patients across the United States. VITL is backed by Signalfire, a San Francisco based venture capital firm with $3B in AUM, which led its Series A in late 2025.", "summaryDescription" : "Software Engineer, Backend at VITL", "createdAt" : "2026-06-16T00:31:58.592", "lastUpdated" : "2026-06-16T08:53:24.093", "ingestTimestamp" : "2026-06-16T00:31:58.592", "mongoId" : "6a305032f292fd229ceed4f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3065a3f292fd229cfaa136", "title" : "Backend Software Engineer", "company" : "Nightfall", "industry" : "R&D", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Backend Software Engineer in Bengaluru, India, adjusted for the cybersecurity industry and company size." }, "location" : "Bengaluru", "locations" : [ "Bengaluru" ], "timestamp" : "2026-06-16T09:41:40.310", "fingerprint" : "d1fab31ea030ccda21ec161fc6dba9cef85bb0e1d107857bffe3b55ef09672f0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nightfall-ai/084baf9b-70ad-498d-8474-c656efdf4cad/application", "externalId" : "084baf9b-70ad-498d-8474-c656efdf4cad", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "About Nightfall: Nightfall is the AI-native, unified data loss prevention and insider risk management platform that protects sensitive data across SaaS apps, GenAI tools, email, endpoint devices, and more. Hundreds of customers, spanning AI innovators to top 10 banks, trust Nightfall to detect and stop data exfiltration at scale. Nightfall enables organizations to innovate freely without the risks of losing intellectual property or exposing customer data. Our agentic platform helps security teams regain their time by putting data loss prevention on autopilot. With automatic remediation, security violations can be resolved automatically before they become incidents, and end-users can be automatically trained and coached in the moment to self-heal violations that they introduce. Nightfall is backed by leading VC firms including Bain Capital Ventures (Enrique Salem - former CEO of Symantec), Venrock (early investors in Cloudflare), WestBridge Capital, Pear VC (early investors in Dropbox and Doordash), and a cadre of cybersecurity leaders including Frederic Kerrest (founder of Okta), Maynard Webb (former COO of eBay), Ryan Carlson (President of Chainguard), Kevin Mandia (founder of Mandiant), and many others. About the role: As a Backend Engineer at Nightfall, you’ll enable us to deliver our platform reliably, securely, and at a massive scale. You’ll help architect low latency, real-time microservices that process & detect sensitive data at scale. Responsibilities - Building highly available and secure authentication and API services. - Maintaining and evolving mission-critical internal databases and services. - Optimizing and operating high volume auto-scaling streaming data services. - Instrumenting streaming data services for visibility into utilization per customer. - Writing and maintaining documentation about internal and public services. Requirements - Expertise in one or more systems/high-level programming languages (e.g. Python, Go, Java, C++) and the eagerness to learn more. - Experience running scalable (thousands of RPS) and reliable (three 9’s) systems. - Experience with developing complex software systems scaling to substantial data volumes or millions of users with production quality deployment, monitoring, and reliability. - Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. MySQL, Cassandra) - Ability to decompose complex business problems and lead a team in solving them - Data Processing - experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper - 5+ years of experience Environment Nightfall AI takes pride in being an equal-opportunity employer. We value a diverse and global talent pool and the collaboration that results from having a diverse and inclusive team. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Our hiring decisions are based exclusively on merit, qualifications, and business needs. Compensation Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate. During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits & perks, and stock options as they’ll be reflected in the offer letter.", "summaryDescription" : "Backend Software Engineer at Nightfall", "createdAt" : "2026-06-16T00:30:13.230", "lastUpdated" : "2026-06-16T09:41:40.310", "ingestTimestamp" : "2026-06-16T00:30:13.230", "mongoId" : "6a3065a3f292fd229cfaa136", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cybersecurity", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb02d74d8ee00a09d9216", "title" : "Software Engineering Internships 2026", "company" : "Halter", "industry" : "Internships and Graduate Opportunities ", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "NZD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level technology internships in Auckland, New Zealand, adjusted for industry and company size." }, "location" : "Auckland", "locations" : [ "Auckland" ], "timestamp" : "2026-06-15T03:46:08.874", "fingerprint" : "f0650abecb3764653ecef0382a5f1b19773caf3e181e657399d7a98df61d6249", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/halter/4fb04f2a-4146-43c3-80ab-d4b8a8d62fd3/application", "externalId" : "4fb04f2a-4146-43c3-80ab-d4b8a8d62fd3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Auckland", "country" : "New Zealand", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-36.8520950,174.7631803" } ], "locationText" : "Auckland, New Zealand", "employmentType" : "INTERNSHIP", "technicalSkills" : "Node.js, Kotlin, Go, React, React Native, AWS, Terraform, CI/CD, AI", "professionalSkills" : [ "System design", "Data ingestion", "Observability" ], "hardSkillsList" : [ "Event-driven systems", "Predictive modeling" ], "hardSkills" : [ { "name" : "Event-driven systems", "level" : "intermediate" }, { "name" : "Predictive modeling", "level" : "intermediate" } ], "majorSkills" : "Software Engineering, Platform Engineering, Machine Learning, Communications Engineering, Fleet Engineering", "majorSkillsList" : [ "Software Engineering", "Platform Engineering", "Machine Learning", "Communications Engineering", "Fleet Engineering" ], "coreResponsibilities" : "Build and ship features, Solve real world problems, Write clean code, Work on distributed systems, Contribute to code reviews, Contribute to design conversations, Share context with team, Build internal tooling, Build infrastructure, Work with AWS, Work with Terraform, Work with CI/CD, Work with observability tooling, Support reliability, Support performance, Explore AI tooling, Implement AI tooling, Develop predictive models, Develop AI tools, Develop AI agents", "teamCollaboration" : "Cross-functional teams; Engineering teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Cloud-native architecture; Distributed systems; Farm operations; Animal health; Pasture growth", "domainList" : [ "cloud-native-architecture", "distributed-systems", "farm-operations", "animal-health", "pasture-growth" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed systems", "Farm operations", "Animal health", "Pasture growth" ], "toolProficiency" : [ "Terraform", "AWS" ], "continuousLearning" : "Learning from each other", "innovationCreativity" : "Innovating", "problemSolvingSkills" : "Solving challenging problems; Solving problems", "qualificationsBasic" : "Mid-to-late November 2026 start, February 2027 end, Full-time 40 hours/week", "qualificationsPreferred" : "Meet every requirement", "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT HALTER At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard. We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB. To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/. We're looking for interns across our Software, Platform, Machine Learning and Comms/Fleet Engineering teams at Halter! These aren't typical internships - you'll be a fully-fledged member of the team, given real ownership and responsibility from day one. Halter is one system: hardware, software, and AI, running live on real farms. Our engineering teams own different slices of that system, but the problems all rhyme: turning thousands of collars and billions of sensor events into a single, calm decision in a farmer's hand. You could be building the mobile and web experiences farmers rely on at 5am in a paddock, designing platforms and pipelines that scale at pace, or developing cutting-edge ML models that predict pasture growth and animal health. Every team here ships software that has to work in a paddock, not just a browser tab. This internship will run from mid-to-late November 2026 and end in February 2027. It will be onsite & full-time 40 hours a week over this period. Applications will close Friday 10th of July 2026. We have 4 key teams we're hiring for: 1. Software Engineering - building the farmer-facing apps (mobile/web) and the backend services processing billions of real-time collar events 2. Platform Engineering - internal infrastructure, data ingestion, AWS/Terraform, CI/CD, observability, and AI tooling that helps all engineers move faster 3. Machine Learning (Predictive Systems) - pasture growth models, animal health & behaviour, heat event detection, grazing recommendations, and the rich farm datasets that power it all 4. Communications & Fleet Engineering - the connectivity + internal tooling that keep the product reliable in the real world: how collars communicate with the backend, on-farm comms health, and the internal tools used to live‑view and manage the fleet WHAT YOUR DAY COULD LOOK LIKE Software Engineering (Frontend, Backend, or Full Stack): - Building and shipping features that solve real world problems end-to-end - from the farmer-facing mobile and web surfaces through to the services and infrastructure behind them. - Writing clean, performant code across modern frontend frameworks (React, React Native) and backend services (Node.js, Kotlin, Go). - Working on distributed, event-driven systems that process data from our fleet of collars across NZ, Australia, and the US; where latency, reliability, and offline behaviour are important considerations. - Contributing to code reviews, design conversations, and context-sharing with your team. Platform Engineering: - Building internal tooling and infrastructure that gives every other engineer at Halter leverage. - Working with AWS, Terraform, CI/CD pipelines, and observability tooling at scale. - Supporting the reliability and performance of our systems end-to-end as we scale. - Exploring and implementing AI tooling that reshapes how engineers and others work. Machine Learning: - Developing predictive models of pasture growth, animal health, behaviour, and farm operations. - Development of end-to-end ML pipelines: from dataset construction and model training through to deployment and monitoring. - Conducting literature reviews to stay at the cutting edge of both machine learning and agricultural science. - Working with rich, novel datasets to build systems that directly improve farming outcomes. Communications & Fleet Engineering: - Comms: building the connectivity and communications systems that enable the product to work reliably in the real world - including towers/on‑farm equipment setup, comms health on farm, the backend messaging layer, and the pathways different product functions use to talk to the collar. - Fleet Engineering: building internal tooling to live‑view and manage the fleet - with different views for finance and monitoring - plus tooling that supports tracking firmware, Guidance, and Behaviour. WHO ARE WE LOOKING FOR? - Someone with the right attitude - deeply curious, driven to learn, and energised by what we're building at Halter. - A student passionate about their field and actively engaged in relevant extracurricular activities (Computer Science, Software Engineering, Data Science, Mathematics, or related degrees). - Someone hungry to be stretched -who wants to start doing the best work of their life, right now. - For Software & Platform: someone who thinks like a product engineer, cares about the customer experience, and is comfortable in fast-moving, ambiguous environments. - For Machine Learning: a strong background in applying ML to real-world problems, fluency in Python, and a passion for predictive systems. - Someone comfortable leveraging AI tools and agents to accelerate their own output. An intern at Halter is a fully-fledged member of the team - you'll be given opportunity, ownership, and responsibility like everyone else. If this sounds a little intense, it is. You'll be working alongside an epic team of the best and brightest, having real impact and learning quickly. That's Halter OUR OFFICE-FIRST APPROACH Our office-first approach Being office-first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. We're office first, not office only. This means working from the office every day is our default setting, but we flex when needed. Your growth, learning, and impact are truly unlimited here, and a big part of that comes from being together — solving problems, innovating, building context, and constantly learning from each other. We have a state-of-the-art, dog-friendly office in the heart of Auckland City. Delicious snacks and drinks are readily available. JOIN OUR TEAM Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit! If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch! Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.", "summaryDescription" : "Software Engineering Internships 2026 at Halter. Skills: Software Engineering, Platform Engineering, Machine Learning, Communications Engineering, Fleet Engineering. Build and ship features. Solve real world problems", "createdAt" : "2026-06-13T22:16:49.771", "lastUpdated" : "2026-06-15T03:46:08.874", "ingestTimestamp" : "2026-06-13T22:16:49.771", "mongoId" : "6a2cb02d74d8ee00a09d9216", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Event-driven systems", "Predictive modeling", "Software Engineering", "Platform Engineering", "Machine Learning", "Communications Engineering", "Fleet Engineering", "System design", "Data ingestion", "Observability", "Agile", "Cloud-native architecture", "Distributed systems", "Farm operations", "Animal health", "Pasture growth", "Terraform", "AWS" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7c1d74d8ee00a094c5b4", "title" : "Supplier Industrialization Engineering Intern (Fall 2026)", "company" : "Zipline", "industry" : "Manufacturing", "salary" : { "min" : 48000.0, "max" : 64000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern in the logistics industry in South San Francisco, adjusted for company size and seniority." }, "location" : "South San Francisco, California, United States", "locations" : [ "South San Francisco", "California", "United States" ], "timestamp" : "2026-06-15T08:44:40.374", "fingerprint" : "7164a03ac0cc494011bbae181b831c357b668a6ff8fbfdda0a99b11a48b53c53", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zipline.com/careers?gh_jid=7766424003#open-roles", "externalId" : "7766424003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "South San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.6535403,-122.4168664" } ], "locationText" : "South San Francisco, California, United States", "employmentType" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "3D CAD, NX, GD&T", "professionalSkills" : [ "Design for Manufacturing", "Assembly process design", "Statistical quality control", "Root cause analysis", "Supplier evaluation", "Process implementation", "Fixture design", "Automation strategy", "Corrective actions", "Preventive actions", "Performance tracking", "Continuous improvement" ], "hardSkillsList" : [ "Manufacturing processes", "Assembly processes", "Quality control", "Root cause analysis", "CAPA techniques" ], "hardSkills" : [ { "name" : "Manufacturing processes", "level" : "intermediate" }, { "name" : "Assembly processes", "level" : "intermediate" }, { "name" : "Quality control", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "CAPA techniques", "level" : "intermediate" } ], "majorSkills" : "Supplier industrialization, Manufacturing operations, Quality assurance", "majorSkillsList" : [ "Supplier industrialization", "Manufacturing operations", "Quality assurance" ], "coreResponsibilities" : "Participate in DfX discussions, Assist with assembly line planning, Develop process documentation, Maintain process documentation, Provide training to operators, Support supplier evaluation, Support supplier qualification, Assist in implementing manufacturing processes, Design fixtures for assembly, Design fixtures for inspection, Propose automation strategies, Assist in root cause analysis, Implement corrective actions, Implement preventive actions, Monitor supplier performance, Track process performance, Generate performance reports, Assist in CI projects", "teamCollaboration" : "Internal and external stakeholders; Cross-functional stakeholders", "projectManagementSkills" : [ "APQP", "PPAP" ], "domainKnowledge" : "Design for Manufacturability; Assembly; Statistical Quality Control; Root Cause Analysis; Advanced Product Quality Planning; Production Part Approval Process; Problem Solving Frameworks; CAPA Techniques; Machining; Injection Molding; Sheet Metal Stamping; 3D Printing; PCBA Manufacturing; Mechanical Assembly; Electromechanical Assembly", "domainList" : [ "design-for-manufacturability", "assembly", "statistical-quality-control", "root-cause-analysis", "advanced-product-quality-planning", "production-part-approval-process", "problem-solving-frameworks", "capa-techniques", "machining", "injection-molding", "sheet-metal-stamping", "3d-printing", "pcba-manufacturing", "mechanical-assembly", "electromechanical-assembly" ], "domainSpecificKnowledge" : [ "Design for Manufacturability", "Assembly", "Statistical Quality Control", "Root Cause Analysis", "Advanced Product Quality Planning", "Production Part Approval Process", "Problem Solving Frameworks", "CAPA Techniques", "Machining", "Injection Molding", "Sheet Metal Stamping", "3D Printing", "PCBA Manufacturing", "Mechanical Assembly", "Electromechanical Assembly" ], "toolProficiency" : [ "NX" ], "documentationSkills" : "Process documentation; Manufacturing Process Flows; FMEAs; Control Plans; Work Instructions", "problemSolvingSkills" : "Root cause analysis; Problem solving", "outcomesObjectives" : "Meet quality targets; Meet cost targets; Meet delivery targets; Ensure consistent standards; Meet ZAP requirements; Improve efficiency; Improve reliability; Resolve quality issues; Prevent future occurrences; Drive continuous improvements; Enhance manufacturing processes; Reduce costs; Improve product quality", "qualificationsBasic" : "Completed second year undergraduate studies, Proficiency in 3D CAD Software, Ability to read Engineering Drawings, Understanding of manufacturing processes, Understanding of APQP, Understanding of PPAP, Understanding of Problem Solving Frameworks, Understanding of RCA/CAPA Techniques", "qualificationsPreferred" : "NX preferred, GD&T knowledge preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Zipline Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products. Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations. Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe. We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds. About The Supplier Industrialization Engineering Team Zipline is scaling drone production and flight operations by more than 20× over the next three years while maintaining best-in-class safety and reliability. You will own the entire supplier industrialization and supplier development engineering functions — building the team, processes, tools, and culture that make Zipline’s massive scale-up possible without compromising quality, delivery, or cost. The Role As an SIE Intern, the projects you undertake will be focused on the improvement of manufacturing operations & quality at critical Zipline suppliers. This involves working with internal & external cross-functional stakeholders on design for manufacturing & assembly, manufacturing process design & implementation, statistical quality control, and root cause analysis to ensure that Zipline suppliers can meet quality, cost & delivery targets set for them. What You'll Do Design for X (DfX) Discussions: Participate in DfX discussions with internal and external stakeholders to ensure designs are optimized for manufacturability, assembly, and efficiency across Zipline’s Top Level Assemblies (TLAs) and sub-assemblies. Assembly Line Management: Assist with the planning, budgeting, design, procurement, commissioning, and validation of assembly lines and associated equipment at Zipline for Product Validation Builds and mass production at contract manufacturers (CMs). Process Documentation & Training: Develop and maintain key process documentation such as Manufacturing Process Flows, FMEAs, Control Plans, and Work Instructions. Provide training to operators and quality teams to ensure consistent standards in manufacturing and assembly processes. Supplier Management & Qualification: Support in evaluating and qualifying new suppliers, ensuring they meet Zipline’s quality and production standards. Assist in implementing manufacturing processes at supplier facilities to meet the Zipline Approval Process (ZAP) requirements. Fixture Design & Automation: Design fixtures for assembly and inspection, and propose automation strategies to improve efficiency and reliability, both at Zipline and supplier facilities. Root Cause Analysis (RCA) & Corrective Actions: Assist in performing root cause analysis and implementing corrective and preventive actions (CAPA) to resolve quality issues, ensuring these actions are effectively implemented to prevent future occurrences. Supplier and Process Performance Tracking: Monitor and track Key Performance Indicators (KPIs) such as first-pass yield, on-time delivery, and cost of poor quality, generating regular reports for internal and external stakeholders to drive continuous improvements. Continuous Improvement Projects: Assist in Continuous Improvement (CI) projects to enhance manufacturing processes, reduce costs, and improve product quality at both Zipline and its supplier locations What You'll Bring Must have at least completed the second year of your Undergraduate studies. Masters and PhD students are also eligible. Proficiency in 3D CAD Software (NX preferred) & ability to read Engineering Drawings (with GD&T) Understanding of traditional & non-traditional manufacturing processes (Machining, Injection Molding, Sheet Metal Stamping, 3D Printing, PCBA Manufacturing, Mechanical or Electromechanical Assembly, etc.) Understanding of Advanced Product Quality Planning (APQP) & Production Part Approval Process (PPAP) Understanding of Problem Solving Frameworks (8D, FTA, Pareto Analysis, etc.) & RCA/ CAPA Techniques used within these frameworks Willingness to work in a super fast-paced environment that is in a constant state of evolution Be a student pursuing a(n) graduate/ undergraduate degree in one of the following concentrations: Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Industrial Engineering, Manufacturing Engineering, Physics, Chemistry, Statistics, Mathematics. What Else You Should Know Our internships are full-time positions, in-person at our South San Francisco office. We will host our Fall 2026 interns from September to December. Candidates are limited to three (3) applications within a 30-day period. Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities. Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.", "summaryDescription" : "Supplier Industrialization Engineering Intern (Fall 2026) at Zipline. Skills: Supplier industrialization, Manufacturing operations, Quality assurance. Participate in DfX discussions. 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What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! Sr. Associate Engineer Software Development (Backend Engineer) At Anaplan, we optimise business decision-making through our leading scenario planning and analysis platform so our customers can outpace their competition and the market. We reward the innovators who power it. At Anaplan, you will be a part of a team of innovators focused on optimising business decision-making through our leading scenario planning and analysis platform. You’ll be inspired that the work you do every day helps us become a category-defining company. You’ll be connected to a talented and diverse team, with whom you’ll collaborate to execute our strategy. You’ll be developed to accomplish ambitious goals and then rewarded when those goals are achieved. The Role The Core Performance engineering team is looking for a junior software engineer to build and maintain performance tests and performance test frameworks that underpin our performance work at Anaplan, as well as advocate for strong software engineering principles for performant software. Performance is at the heart of everything we do at Anaplan, so we need someone who loves performance as well as advocating for the performance of the platform. Who are you? A Strong Engineer: You love engineering, and learning about engineering You care about quality: You care about the quality of your code, and you have a passion for performance of your code as well as the platform as a whole Thirst for knowledge: You have a hunger for knowledge Quick learner: You pick up concepts quickly, and enjoy reading up on those concepts and pairing with others to learn more Ownership mindset: You see problems through to resolution and treat platform performance as your responsibility. Your Qualifications Experience: 2-4 years of professional software engineering or equivalent. Delivery: A track record of contributing to complex projects. DevOps: Experience creating and maintaining automated testing, preferably performance testing and the CICD tooling to support it Tech we use Java: We write many of our performance tests in Java, that compiles into jMeter jMeter: We performance test in jMeter Jenkins: We write our pipelines for performance testing in Jenkins, with deep integration into our \"Core Server\" delivery Grafana: Observability both of our pipelines and internal performance tests, as well as in production for performance of our customers Culture As well as joining a passionate team, you’ll be part of the wider Anaplan engineering community in our Gurugram office. You’ll find yourself among peers who support one another’s careers and work together to build a winning culture. Many of our leading engineers started at the same level you’re applying for — and grew into leadership roles with the backing of this community. We’ll give you the same support to take your career wherever you want it to go. Our Diversity and Inclusion Commitment Build your job in a place that thrives on diversity, inclusion and belonging. We believe in maintaining a hiring and working experience in which all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your true self to work every day! Fraud Recruitment Disclaimer: It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondence and announcements is to obtain privileged information from individuals. Anaplan does not: Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible, and then followed up via written communication. All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence. Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!  We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.  Fraud Recruitment Disclaimer  It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals.   Anaplan does not:  Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.   Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication.  All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence.  ", "summaryDescription" : "Sr. Associate Engineer Software Development (Backend Engineer) at Anaplan", "postedDate" : "2026-06-15T23:26:21.635", "createdAt" : "2026-06-15T23:26:21.635", "lastUpdated" : "2026-06-16T08:59:38.168", "ingestTimestamp" : "2026-06-15T23:26:21.635", "mongoId" : "6a3067b4f292fd229cfc0dc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305c8bf292fd229cf6263c", "title" : "Graduate Sales Development Representative", "company" : "BlueOptima", "industry" : "Computer Software", "salary" : { "min" : 30000.0, "max" : 34000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "London, United Kingdom", "locations" : [ "London", "United Kingdom" ], "timestamp" : "2026-06-16T10:13:37.567", "fingerprint" : "55bd6d06b28ac5cc0c1eebf3c51a2cebf8405ef018b0fa0a1a1e367ee66f86e3", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/BlueOptima/744000132225429-graduate-sales-development-representative", "externalId" : "744000132225429", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "coreResponsibilities" : "Conduct initial contact with Senior Stakeholders, Understand stakeholder pain points, Understand stakeholder needs, Deliver real value to stakeholders, Create opportunities for sales pipeline, Develop end-to-end enterprise sales skills, Progress deals, Manage stakeholders", "teamCollaboration" : "Wider Sales Team; Evolving team; Global team", "domainKnowledge" : "Software development metrics", "domainList" : [ "software-development-metrics" ], "domainSpecificKnowledge" : [ "Software development metrics" ], "communicationSkills" : "Concise communication; Clear communication", "continuousLearning" : "Training programs; Personal Development Plans; Sponsored Learning Opportunities", "problemSolvingSkills" : "Creative problem solver", "qualificationsBasic" : "Tenacious hunter, Keen interest in software, Keen interest in tech space, Creative problem solver, Concise communicator, Clear communicator, Excited to join evolving team, Striving to optimise, Striving to innovate, Team player, Achieve outstanding individual results, Help take SDR team to next level, Recent graduates", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "BlueOptima is a company built on transparency, collaboration, and accountability. We provide organisations with an objective, data-driven insight into developer efficiency, and how we operate internally is a direct reflection of this. We are a team made up of tenacious, ambitious, and hungry individuals, who strive to constantly improve and pull together to achieve our ambitious goals. Our company values, and genuine family-feel working relationships, lead to a working culture of collaboration, learning, autonomy and high performance. Our Product BlueOptima provides industry-leading objective metrics in software development using our proprietary Coding Effort Analytics; enabling Fortune 500 organizations to deliver better software, faster and more efficiently. We currently are located in 5 countries: London (our HQ), Mexico, India, US and Japan. A total number of 110+ employees (and increasing every day) from different nationalities and with over 25 languages spoken. Salary : Base: £30K - £34K + uncapped commission Location: London Department: Sales Graduate SDR's are a fundamental part of our wider Sales Team. These individuals drive success by conducting the initial contact with Senior Stakeholders in Fortune 500 companies, understanding their pain points and needs, delivering real value, and creating opportunities to feed our sales pipeline. At BlueOptima we believe in growth and development, therefore we provide clear Sales Career pathways to all new joiners. Once SDRs are fully ramped they can immediately begin developing end-to-end enterprise sales skills (deal progression, stakeholder management, etc…) ## Qualifications To succeed in the role, you will: * Be a tenacious hunter * Have a keen interest in software and the tech space * Be a creative problem solver * Be a concise and clear communicator * Be excited to join an evolving team in a start-up/scale-up environment where we are constantly striving to optimise and innovate * Be a team player, motivated not only to achieve outstanding individual results but to help take the whole SDR team to the next level Who Can Apply: Recent graduates looking to kick start your career in SaaS sales can apply. ## Additional Information Why join our team? Culture and Growth: * Global team with a creative, innovative and welcoming mindset. * Rapid career growth and opportunity to be an outstanding and visible contributor to the company's success. * Freedom to create your own success story in a high performance environment. * Training programs and Personal Development Plans for each employee Benefits: * 32 days of holidays (including bank holidays) * Annual Leave purchase (up to 5 extra days) * Work from Home Equipment allowance * Flexible Work from Home - 2 days remote a week, 3 days in office * Flexible Work from Long Distance - 4 weeks a year * 12 Weeks Paid Maternity and Paternity Leave * Pet friendly office * Sponsored Learning Opportunities * Cycle2work scheme * Team Socials Visa Sponsorship : Not available Stay connected with us on [LinkedIn](https://www.linkedin.com/company/blueoptima) or keep an eye on our [career page](https://www.blueoptima.com/careers) for future opportunities!", "summaryDescription" : "Graduate Sales Development Representative at BlueOptima. 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Salary : Base: £30K - £34K + uncapped commission Location: London Department: Sales Graduate SDR's are a fundamental part of our wider Sales Team. These individuals drive success by conducting the initial contact with Senior Stakeholders in Fortune 500 companies, understanding their pain points and needs, delivering real value, and creating opportunities to feed our sales pipeline. At BlueOptima we believe in growth and development, therefore we provide clear Sales Career pathways to all new joiners. Once SDRs are fully ramped they can immediately begin developing end-to-end enterprise sales skills (deal progression, stakeholder management, etc…) ## Qualifications To succeed in the role, you will: * Be a tenacious hunter * Have a keen interest in software and the tech space * Be a creative problem solver * Be a concise and clear communicator * Be excited to join an evolving team in a start-up/scale-up environment where we are constantly striving to optimise and innovate * Be a team player, motivated not only to achieve outstanding individual results but to help take the whole SDR team to the next level Who Can Apply: Recent graduates looking to kick start your career in SaaS sales can apply. ## Additional Information Why join our team? Culture and Growth: * Global team with a creative, innovative and welcoming mindset. * Rapid career growth and opportunity to be an outstanding and visible contributor to the company's success. * Freedom to create your own success story in a high performance environment. * Training programs and Personal Development Plans for each employee Benefits: * 32 days of holidays (including bank holidays) * Annual Leave purchase (up to 5 extra days) * Work from Home Equipment allowance * Flexible Work from Home - 2 days remote a week, 3 days in office * Flexible Work from Long Distance - 4 weeks a year * 12 Weeks Paid Maternity and Paternity Leave * Pet friendly office * Sponsored Learning Opportunities * Cycle2work scheme * Team Socials Visa Sponsorship : Not available Stay connected with us on [LinkedIn](https://www.linkedin.com/company/blueoptima) or keep an eye on our [career page](https://www.blueoptima.com/careers) for future opportunities!", "summaryDescription" : "Graduate Sales Development Representative at BlueOptima. Conduct initial contact with Senior Stakeholders. 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Stassney Hq - Main (SHQMAIN)
6230 East Stassney Lane
Austin, 78744

, Stassney Hq - Main" ], "timestamp" : "2026-06-16T05:10:04.279", "fingerprint" : "3bb39f6f327927949a86e5291ac0b2bbe41d14bd29823eb35349aa5045238401", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43464", "externalId" : "43464", "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" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Design bicycle and pedestrian infrastructure, Research transit design, Assist with transit initiatives, Assist with bicycle initiatives, Assist with pedestrian initiatives", "teamCollaboration" : "Work with dynamic team", "domainKnowledge" : "Transit planning; Active transportation planning; Transportation funding; Project development processes", "domainList" : [ "transit-planning", "active-transportation-planning", "transportation-funding", "project-development-processes" ], "domainSpecificKnowledge" : [ "Transit planning", "Active transportation planning", "Transportation funding", "Project development processes" ], "qualificationsBasic" : "Graduate-level intern", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT Public Transportation Division is looking for a graduate-level intern to support statewide - transit, bicycle, and pedestrian initiatives. The intern would assist TxDOT in two primary areas: 1) design of bicycle and pedestrian infrastructure and 2) research on transit design. In this role, the intern would be exposed to current transit and active transportation planning and design efforts, transportation funding, and project development processes, working closely with a small, dynamic team. The position can be full or part-time during the summer at the Department’s Division Headquarters in South Austin. 15.54 22.76", "summaryDescription" : "Intern Graduate Support Technician at TxDOT Public Transportation Division. Design bicycle and pedestrian infrastructure. Research transit design", "createdAt" : "2026-06-14T20:42:37.419", "lastUpdated" : "2026-06-16T05:10:04.279", "ingestTimestamp" : "2026-06-14T20:42:37.419", "mongoId" : "69dde4492beec4dd3d9a32d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Transit planning", "Active transportation planning", "Transportation funding", "Project development processes" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.92 }, { "id" : "69164db570f0b99d586f37e7", "title" : "Software Development Intern", "company" : "Amazon Servicos de Varejo do Brasil Ltda.", "industry" : "Administrative Support, Support Engineering, studentprograms", "salary" : { "min" : 24000.0, "max" : 48000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an entry-level Software Development Intern in E-Commerce in Brazil, adjusted for full-time onsite work." }, "location" : "BRA", "locations" : [ "BRA" ], "timestamp" : "2026-06-15T02:35:06.826", "fingerprint" : "d86a189a42d665645d58eb0c7bcf3a0162d48e2e69d06c937fd5ede72ff44374", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3120598/apply", "externalId" : "2aedba37-2504-44ac-b991-4a5281bbbe1f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Brazil", "continent" : "sa", "workMode" : "onsite" } ], "locationText" : "Brazil", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "GenAI, AI", "professionalSkills" : [ "Cloud-native architectures", "Microservices", "Distributed computing", "CI/CD principles", "Operational excellence" ], "hardSkillsList" : [ "Object-oriented design", "Operating systems", "Algorithms", "Data structures", "Complexity analysis", "Distributed systems", "Relational databases", "Linear programming", "Nonlinear optimization" ], "softSkillsList" : [ "Curious minds", "Think big" ], "hardSkills" : [ { "name" : "Object-oriented design", "level" : "intermediate" }, { "name" : "Operating systems", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Complexity analysis", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Relational databases", "level" : "intermediate" }, { "name" : "Linear programming", "level" : "intermediate" }, { "name" : "Nonlinear optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious minds" }, { "name" : "Think big" } ], "majorSkills" : "Software Development, Scalable services, Cloud-native architectures, Distributed systems", "majorSkillsList" : [ "Software Development", "Scalable services", "Cloud-native architectures", "Distributed systems" ], "coreResponsibilities" : "Collaborate and communicate effectively, Design innovative products, Build innovative products, Operate innovative products, Participate in technical discussions, Design scalable solutions, Develop scalable solutions, Participate in code reviews, Contribute to technical documentation, Build resilient distributed systems, Maintain resilient distributed systems, Leverage GenAI tools, Contribute to GenAI tools, Enhance development productivity, Stay current with emerging technologies, Write clean code, Write maintainable code, Work in an agile environment, Participate in operational responsibilities, Perform on-call duties, Demonstrate operational excellence, Resolve production issues", "teamCollaboration" : "Experienced cross-disciplinary Amazonians; Cross-functional teams", "projectManagementSkills" : [ "Agile environment", "CI/CD principles" ], "domainKnowledge" : "Cloud-native architectures; Microservices; Distributed computing; GenAI; AI", "domainList" : [ "cloud-native-architectures", "microservices", "distributed-computing", "genai", "ai" ], "domainSpecificKnowledge" : [ "Cloud-native architectures", "Microservices", "Distributed computing", "GenAI", "AI" ], "communicationSkills" : "Technical discussions", "documentationSkills" : "Technical documentation", "continuousLearning" : "Mentorship; Learning culture", "innovationCreativity" : "Innovative technology; Creating new products; Creating new features; Creating new services", "problemSolvingSkills" : "Solve complex problems; Troubleshooting", "specialRequirements" : "On-call duties", "outcomesObjectives" : "Solve real customer problems; Impact millions of customers; Influence millions of customers", "qualificationsBasic" : "Bachelor's degree, Speak, write, and read fluently in English, 18 years of age or older, Minimum of one quarter/semester/trimester remaining in studies after internship", "qualificationsPreferred" : "Master's degree, Knowledge of C/C++, Python, Java or Perl, Knowledge of computer science fundamentals, Experience with distributed, multi-tiered systems, Experience in optimization mathematics, Provide graduation date", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. Our Software Development Engineer (SDE) interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years. At Amazon, we believe in ownership at every level. As an SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth. Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. Key job responsibilities • Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward. • Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment. • Participate in code reviews and contribute to technical documentation. • Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective. • Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies. • Write clean, maintainable code following best practices and design patterns. • Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties. • Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues. A day in the life As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting. Basic Qualifications: - Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field - Bachelor's degree - Speak, write, and read fluently in English - Are 18 years of age or older Preferred Qualifications: - Are enrolled in or have completed a Master's degree in computer science, computer engineering, or related field - Knowledge of programming languages such as C/C++, Python, Java or Perl - Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis - Experience with distributed, multi-tiered systems, algorithms, and relational databases - Experience in optimization mathematics such as linear programming and nonlinear optimization - Provide your graduation date 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 Intern at Amazon Servicos de Varejo do Brasil Ltda.. Skills: Software Development, Scalable services, Cloud-native architectures, Distributed systems. Collaborate and communicate effectively. Design innovative products", "postedDate" : "2026-06-12T23:46:58.961", "createdAt" : "2026-06-12T23:46:58.961", "lastUpdated" : "2026-06-15T02:35:06.826", "ingestTimestamp" : "2026-06-12T23:46:58.961", "mongoId" : "69164db570f0b99d586f37e7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3120598/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Object-oriented design", "Operating systems", "Algorithms", "Data structures", "Complexity analysis", "Distributed systems", "Relational databases", "Linear programming", "Nonlinear optimization", "Curious minds", "Think big", "Software Development", "Scalable services", "Cloud-native architectures", "Microservices", "Distributed computing", "CI/CD principles", "Operational excellence", "Agile environment", "GenAI", "AI" ], "skillCount" : 21, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "id" : "6a2cb31474d8ee00a09e3ac3", "title" : "Graduate Software Engineer", "company" : "Cobblestone Energy", "industry" : "Climate Tech", "salary" : { "min" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : " Dubai, UAE ", "locations" : [ "Dubai", "UAE" ], "timestamp" : "2026-06-16T03:09:52.774", "fingerprint" : "21361a07cccb43a4bbd6242ae2afb099bbb1474f1fad81927ac81b1fd7d9a7f8", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cobblestoneenergy1/jobs/7772337003", "externalId" : "7772337003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dubai", "country" : "United Arab Emirates", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0742823,55.1885387" } ], "locationText" : "Dubai, United Arab Emirates", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 1, "experienceLevel" : "Entry", "technicalSkills" : "AI, LLM, APIs, Vector databases, OpenAI, Anthropic", "professionalSkills" : [ "Problem-solving", "Analytical skills" ], "hardSkillsList" : [ "Software development", "Data processing", "Debugging", "Testing" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Software development, Data processing, AI integration", "majorSkillsList" : [ "Software development", "Data processing", "AI integration" ], "coreResponsibilities" : "Contribute to software projects, Collaborate with engineers, Collaborate with commercial team members, Improve internal tools, Write clean code, Write maintainable code, Assist with debugging, Assist with testing, Participate in design discussions, Participate in code reviews, Build technical knowledge, Build domain knowledge, Leverage AI coding assistants, Leverage LLM tools, Accelerate development cycles, Refactor legacy code, Write comprehensive tests, Experiment with AI capabilities, Integrate AI capabilities, Enhance internal tools, Enhance platform scalability", "teamCollaboration" : "Agile environment; Highly collaborative environment", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "European Energy Markets; European Gas markets; Power markets; Emissions markets", "domainList" : [ "european-energy-markets", "european-gas-markets", "power-markets", "emissions-markets" ], "domainSpecificKnowledge" : [ "European Energy Markets", "European Gas markets", "Power markets", "Emissions markets" ], "toolProficiency" : [ "GitHub Copilot", "Cursor" ], "communicationSkills" : "Clear communication", "continuousLearning" : "Lifelong learning", "problemSolvingSkills" : "Problem-solving; Analytical skills", "specialRequirements" : "Visa sponsorship, Relocation assistance", "qualificationsBasic" : "Bachelor's degree in Computer Science, 0 to 1 year of professional experience, Understanding of core programming concepts, Understanding of data structures, Understanding of algorithms, Demonstrated ability to use AI tools", "qualificationsPreferred" : "Familiarity with integrating Third-Party APIs, Familiarity with deploying open-source models", "workSiteFlexibility" : "Onsite", "rawDescription" : "Employment Type: Full-time & Permanent Job Location: Dubai, UAE (We provide visa sponsorship & relocation assistance) Salary: 65,000 USD per annum + performance-based bonus - 0% tax environment. About Cobblestone Energy Cobblestone Energy is an energy trading company specialising in the European Gas, Power and Emissions markets. Established in 2017, we combine deep analytics, advanced data science and agile technology to drive profitable trading decisions. Our flat organisational structure empowers every team member with autonomy and ownership. Our diverse global team of extraordinary talent is united by a relentless pursuit of excellence. Cobblestone Values Lifelong learning with continuous reflection Independent thinking through a meritocracy of ideas The team is more important than the individual. Relentless pursuit of excellence Hiring and keeping only the most effective people Others must benefit from our existence. Job Description At Cobblestone Energy we are on a mission to build the most advanced European electricity trading and analytics platform, with our technology being used by our teams of commercial traders to create significant value. Being a member of our team, you will work on exciting challenges that come with large-scale data processing, automation, and analytics. We work in an agile and highly collaborative environment and challenge the norms of traditional business leadership. We are looking for enthusiastic and resourceful engineers who are passionate about building highly reliable and performance data processing solutions. Developing a strong domain knowledge of our industry over time is key to long term success in this role. This is a rare opportunity to take a leading role in the growth of a major player in the European Energy Markets. We are looking for someone who would be committed to the long-term success of the business. We operate in the European markets, but our commercial trading operations are in Dubai, UAE. If you have excellent programming skills, strong problem-solving skills and a passion for developing/improving applications utilizing cutting edge technologies, then we would like to meet you. What we offer in this role A full-time position on our Tech team Committed and remarkably talented colleagues Highly competitive compensation dependent on performance An exciting, challenging and fulfilling career An opportunity to work on new things from scratch and make independent decisions. Investment in your development to ensure that you always remain the best in business Equity participation for strong contributors, ensuring our interests are all aligned long term Responsibilities Contribute to software projects that support critical business operations Collaborate with engineers and commercial team members to improve internal tools Write clean, maintainable code and assist with debugging and testing Participate in design discussions and code reviews Continuously build your technical and domain knowledge Leverage modern AI coding assistants and LLM tools to accelerate development cycles, refactor legacy code, and write comprehensive tests. Experiment with and integrate AI capabilities (e.g., APIs, vector databases) to enhance internal tools and platform scalability. Requirements Bachelor’s degree in Computer Science, Software Engineering, or a related field 0 to 1 year of professional experience in software development (internships and academic projects included) Strong understanding of core programming concepts, data structures, and algorithms Exposure to web technologies, APIs, or databases through coursework, internships, or personal projects Demonstrated ability to use AI tools (e.g., GitHub Copilot, Cursor, LLMs) to accelerate problem-solving and automate repetitive coding tasks. Familiarity with integrating Third-Party APIs (including OpenAI/Anthropic) or deploying open-source models is a strong plus. Curiosity, adaptability, and a strong desire to learn and grow Excellent problem-solving and analytical skills Clear communication and a collaborative mindset Personal values aligned with Cobblestone’s culture and long-term vision", "summaryDescription" : "Graduate Software Engineer at Cobblestone Energy. Skills: Software development, Data processing, AI integration. Contribute to software projects. Collaborate with engineers", "postedDate" : "2026-06-14T19:19:29.023", "createdAt" : "2026-06-14T19:19:29.023", "lastUpdated" : "2026-06-16T03:09:52.774", "ingestTimestamp" : "2026-06-14T19:19:29.023", "mongoId" : "6a2cb31474d8ee00a09e3ac3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Software development", "Data processing", "Debugging", "Testing", "Adaptability", "AI integration", "Problem-solving", "Analytical skills", "Agile", "European Energy Markets", "European Gas markets", "Power markets", "Emissions markets", "GitHub Copilot", "Cursor" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d81bb74d8ee00a0c1175d", "title" : "2026 Fall Intern - Research & Development", "company" : "GM", "industry" : "Manufacturing", "salary" : { "min" : 48000.0, "max" : 62000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level R&D internships in the automotive industry in Warren, MI, adjusted for company size and seniority." }, "location" : "Warren, Michigan, United States of America", "locations" : [ "Warren, Michigan, United States of America" ], "timestamp" : "2026-06-16T06:07:41.180", "fingerprint" : "0ed96a38de01da6ab1e863c9bcf52c5d4e66b371b41078d54be05baf96cab387", "source" : "workday", "language" : "en", "applyUrl" : "https://generalmotors.wd5.myworkdayjobs.com/Careers_GM/job/Warren-Michigan-United-States-of-America/XMLNAME-2026-Fall-Intern---Research---Development_JR-202613027", "externalId" : "JR-202613027", "industryFunction" : { }, "locationPoint" : "50.13171,-97.54738", "structuredLocations" : [ { "city" : "Warren", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.4932575,-83.0062746" } ], "locationText" : "Warren, Michigan, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "innovationCreativity" : "R&D projects", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "**Job Description** **GM does not provide immigration-related sponsorship for this role.** **Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.).** **To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.** **Hybrid:** This role is categorized as hybrid. This means the successful candidate is expected to report in office three times per week, at minimum [or other frequency dictated by the business]. The start date for this internship is September 7, 2026. **The Team** At GM, we craft products people crave and experiences they never forget. It all starts with research and development. We are looking for R&D Interns to craft, design, and develop groundbreaking concepts and technologies that will help shape the future of mobility. In this internship, you will plan and execute collaborative research across advanced engineering, systems optimization, autonomy, safety, manufacturing, and power electronics. Projects may include component analysis and application of AI tools, systems optimization and use of agentic systems, evaluation of multi-modal command recognition approaches for off-road autonomy, comparison of human body models for injury severity prediction, and development of next-generation electrical power devices and switching technologies. You will work with technical leaders across GM Research and Development to explore innovative approaches that combine engineering fundamentals with AI, modeling, simulation, controls, robotics, and advanced electronics. Our culture of innovation gives you the opportunity to contribute to impactful research, support development of advanced technical solutions, and help shape future vehicle, mobility, and engineering capabilities. **What You Will Do** * Conduct research and/or experiments to collect required data and validate research ideas * Apply engineering, computational, and AI-based methods to challenging research problems across multiple technical domains * Develop AI/ML models and algorithms for simulation tools and workflows supporting component analysis, structural optimization, systems optimization, autonomous vehicles, injury prediction, or power electronics research. * Analyze and compare technical approaches, methods, or system architectures and provide data-driven recommendations * Develop reproducible test protocols, validation plans, or benchmarking approaches for research activities as needed * Document and present results; depending on the assignment, work may lead to external publications and/or intellectual property * Develop and execute specific research plans, including concept generation, development, implementation, and validation * Collaborate effectively with peers, management, operations groups, and outside organizations **Required Qualifications** * U.S. citizenship required to comply with federal government contract provision expressly restricting role to U.S. citizens * Must be currently enrolled in a PhD program * Pursuing a degree in Mechanical Engineering, Electrical Engineering, Computer Science, Robotics, Industrial Engineering, Systems Engineering, Biomedical Engineering, Applied Mathematics, or a closely related science/engineering field * Strong foundation in at least one of the following areas: engineering analysis, AI/ML, optimization, robotics, simulation, controls, injury biomechanics, electric machines and drives, or power electronics * Programming, modeling, or simulation experience using relevant engineering or data analysis tools * Ability to work both independently and in teams * Consistently demonstrate critical thinking and strong teamwork * Effective verbal and written communication skills * Excellent persuasion, active listening, delegation, and leadership skills to work effectively with GM internal and external customers **What Will Give You a Competitive Advantage (Preferred Qualifications)** * Prior research, internship, or project experience in CAE, structural optimization, engineering mechanics, systems engineering, autonomy, robotics, safety modeling, injury biomechanics, semiconductor devices, controls, electric machines and drives, or power electronics * Experience applying AI/ML, optimization, or agentic systems to engineering or operational problems * Familiarity with testing, validation, benchmarking, or evaluation of multi-modal perception or command recognition systems * Experience with simulation, modeling, or comparison of human body models or injury prediction methods * Background and experience in AI assisted topological optimization of electric machines * Exposure to wide bandgap semiconductors, GaN devices, switching technologies, or advanced electrical power systems * Demonstrated ability to translate technical findings into clear recommendations for technical and non-technical audiences * Outstanding interpersonal and relationship management skills to effectively collaborate with varying levels of the organization as needed * Demonstrates leadership in field of study, extra-curricular activities, or service organizations * Strong critical thinking and analytical skills, especially the ability to synthesize large amounts of data involving multiple variables into comprehensive, impactful insights * Willingness to ask questions, take initiative, and be inventive * Emerging partnership and teamwork skills and ability to learn from and share knowledge with co-workers in a rapidly moving environment * High level of integrity, ability to deal with ambiguity, and takes initiative/self-directed * Evidence of strong character with integrity, honesty, accountability, and trust **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting [**Total Rewards resources**](https://search-careers.gm.com/en/working-at-gm/total-rewards). **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit [**How we Hire**](https://search-careers.gm.com/en/how-we-hire). **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, [**email**](mailto:Careers.Accommodations@GM.com)**** us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.", "summaryDescription" : "2026 Fall Intern - Research & Development at GM", "postedDate" : "2026-06-13T19:44:08.507", "createdAt" : "2026-06-14T19:44:08.441", "lastUpdated" : "2026-06-16T06:07:41.180", "ingestTimestamp" : "2026-06-14T19:44:08.441", "mongoId" : "6a2d81bb74d8ee00a0c1175d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://generalmotors.wd5.myworkdayjobs.com/Careers_GM/job/Warren-Michigan-United-States-of-America/XMLNAME-2026-Fall-Intern---Research---Development_JR-202613027", "salaryAnnualMin" : 48000, "salaryAnnualMax" : 62000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "junior", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.98 }, { "id" : "69dde4492beec4dd3d9a32cc", "title" : "Intern Graduate Support Technician", "company" : "TxDOT Public Transportation Division", "industry" : "Government", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level intern graduate support technician in Austin, TX, adjusted for government industry and internship employment type." }, "location" : "UST-Texas-Austin-Stassney Hq - Main", "locations" : [ "UST-Texas-Austin-Stassney Hq - Main", "Hourly", "Nonexempt,
Stassney Hq - Main (SHQMAIN)
6230 East Stassney Lane
Austin, 78744

, Stassney Hq - Main" ], "timestamp" : "2026-06-16T05:54:19.584", "fingerprint" : "d1ae77c9bd46b8a1ba31907b75ec19aa352b9bf9f638b75c33aa9de7597e4d9f", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=43820", "externalId" : "43820", "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" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Active transportation planning", "Project development" ], "hardSkillsList" : [ "GIS analysis", "Data compilation", "Data analysis" ], "hardSkills" : [ { "name" : "GIS analysis", "level" : "intermediate" }, { "name" : "Data compilation", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Active transportation, GIS analysis", "majorSkillsList" : [ "Active transportation", "GIS analysis" ], "coreResponsibilities" : "Support active transportation plan implementation, Compile bicycle and pedestrian data, Analyze bicycle and pedestrian data, Develop GIS maps", "teamCollaboration" : "Work with small team", "domainKnowledge" : "Active transportation; Transportation funding", "domainList" : [ "active-transportation", "transportation-funding" ], "domainSpecificKnowledge" : [ "Active transportation", "Transportation funding" ], "toolProficiency" : [ "GIS" ], "qualificationsBasic" : "Graduate-level intern", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "TxDOT Public Transportation Division is looking for a graduate-level intern to support statewide - bicycle and pedestrian initiatives. The intern would assist TxDOT in two primary areas: 1) activities to support implementation of statewide active transportation plan and 2) GIS analysis, including compiling and analyzing bicycle and pedestrian data, and developing GIS maps. In this role, the intern would be exposed to current active transportation planning efforts, transportation funding, and project development processes, working closely with a small, dynamic team. The position would be part-time year-round beginning in summer or fall at the Department’s Division Headquarters in South Austin. 15.54 22.76", "summaryDescription" : "Intern Graduate Support Technician at TxDOT Public Transportation Division. Skills: Active transportation, GIS analysis. Support active transportation plan implementation. Compile bicycle and pedestrian data", "createdAt" : "2026-06-14T19:54:52.787", "lastUpdated" : "2026-06-16T05:54:19.584", "ingestTimestamp" : "2026-06-14T19:54:52.787", "mongoId" : "69dde4492beec4dd3d9a32cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 35000, "salaryAnnualMax" : 45000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "GIS analysis", "Data compilation", "Data analysis", "Active transportation", "Active transportation planning", "Project development", "Transportation funding", "GIS" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.9 }, { "id" : "68dd1eedce260f92cbea10e2", "title" : "2026 Software Dev Engineer Intern", "company" : "Amazon UK Services Ltd.", "industry" : "Software Development, studentprograms", "salary" : { "min" : 35000.0, "max" : 45000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level software development internships in London, adjusted for the technology industry and large company size." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T07:54:06.138", "fingerprint" : "f172ca6552c48d1228f0b1e2e833dd08258439d956b74d259c86493d8c152044", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3072061/apply", "externalId" : "8b1bdcc5-c485-419d-baa1-3eb461ff37b4", "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", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "C++, Python, Java, Perl, Object-oriented design, Operating systems, Algorithms, Data structures, Complexity analysis, Distributed systems, Multi-tiered systems, Relational databases, Linear programming, Nonlinear optimization, Amazon Web Services", "professionalSkills" : [ "Technical challenges", "Abstract thinking" ], "hardSkillsList" : [ "Optimization mathematics" ], "hardSkills" : [ { "name" : "Optimization mathematics", "level" : "intermediate" } ], "majorSkills" : "Software Development, Distributed Systems, Scalability, Security", "majorSkillsList" : [ "Software Development", "Distributed Systems", "Scalability", "Security" ], "coreResponsibilities" : "Collaborate with experienced cross-disciplinary Amazonians, Conceive, design, and bring to market innovative products, Design and build innovative technologies, Help lead fundamental changes in the industry, Create solutions to run predictions on distributed systems, Build distributed storage, index, and query systems, Work in an agile environment, Deliver high quality software", "teamCollaboration" : "Cross-disciplinary teams; Agile environment", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Distributed computing; Distributed systems; Data mining; Automation; Optimization; Scalability; Security", "domainList" : [ "distributed-computing", "distributed-systems", "data-mining", "automation", "optimization", "scalability", "security" ], "domainSpecificKnowledge" : [ "Distributed computing", "Distributed systems", "Data mining", "Automation", "Optimization", "Scalability", "Security" ], "communicationSkills" : "Articulate technical challenges", "continuousLearning" : "Learning sessions; Exclusive learning sessions", "innovationCreativity" : "Innovative technology; Innovative products; Innovative services", "problemSolvingSkills" : "Solve business challenges; Solve complex technical challenges", "qualificationsBasic" : "Bachelor's degree or above in Computer Science, Computer Engineering, or related fields, Knowledge of programming languages such as C/C++, Python, Java or Perl, Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis", "qualificationsPreferred" : "Experience from a technical internship, Experience with distributed, multi-tiered systems, algorithms, and relational databases, Experience in optimization mathematics such as linear programming and nonlinear optimization, Ability to effectively articulate technical challenges and solutions, Adept at handling ambiguous or undefined problems, Ability to think abstractly", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The intense focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our interns write real software and collaborate with a selected group of experienced software development engineers who help interns on projects that matter to our customers. We want to you to feel welcomed, included and valued right from the start. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. We have two different internship durations available: - 3 months internship - 6 months internship Please ensure to indicate your availability during the application process. Key job responsibilities - Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring to market innovative products and services. - Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. - Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. - Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use. - Work in an agile environment to deliver high quality software. A day in the life As an intern, you will be matched to a manager and a mentor. You will have the opportunity to influence the evolution of Amazon technology and lead mission critical projects early in your career. Your design, code, and raw smarts will contribute to solving some of the most complex technical challenges in the areas of distributed systems, data mining, automation, optimisation, scalability, and security – just to name a few. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting. Many of our technologies overlap, and you would be hard pressed to find a team that is not using Amazon Web Services (AWS), touching the catalogue, or iterating services to better personalise for customers. We make the impossible, possible. About the team Intern Community: As an Amazon Intern, you'll be part of a vibrant, supportive community that empowers your growth and development. You'll collaborate with interns from around the world, networking and participating in social events to broaden your perspectives. You can also join specialized groups focused on areas like sustainability to explore your diverse interests. Support: The internship program provides a robust support system, including weekly intern office hours, dedicated IT and HR support, and a program team committed to your success. This ensures you have the guidance and assistance needed to thrive. Learning Sessions: Exclusive learning sessions will further enhance your skills, granting you access to Amazon's cutting-edge learning platforms and the expertise of industry leaders. These structured development opportunities will prepare you for the next step in your career. Opportunities: Upon successful completion of the internship, you may be considered for a graduate role or a second internship, allowing you to continue your journey with Amazon. Additionally, you'll enjoy a competitive monthly salary, relocation support, and access to a range of employee benefits. Basic Qualifications: - Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields at time of application - Knowledge of programming languages such as C/C++, Python, Java or Perl - Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis Preferred Qualifications: - Experience from a technical internship - Experience with distributed, multi-tiered systems, algorithms, and relational databases - Experience in optimization mathematics such as linear programming and nonlinear optimization - Ability to effectively articulate technical challenges and solutions - Adept at handling ambiguous or undefined problems as well as ability to think abstractly Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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" : "2026 Software Dev Engineer Intern at Amazon UK Services Ltd.. Skills: Software Development, Distributed Systems, Scalability, Security. Collaborate with experienced cross-disciplinary Amazonians. Conceive, design, and bring to market innovative products", "postedDate" : "2026-06-13T20:32:55.608", "createdAt" : "2026-06-13T20:32:55.608", "lastUpdated" : "2026-06-15T07:54:06.138", "ingestTimestamp" : "2026-06-13T20:32:55.608", "mongoId" : "68dd1eedce260f92cbea10e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3072061/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Optimization mathematics", "Software Development", "Distributed Systems", "Scalability", "Security", "Technical challenges", "Abstract thinking", "Agile", "Distributed computing", "Distributed systems", "Data mining", "Automation", "Optimization" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5fbb74d8ee00a08ee312", "title" : "Software Engineering Manager - Backend", "company" : "iFood", "industry" : "Technology", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Software Engineering Manager - Backend in Osasco, Brazil, adjusted for manager seniority and the technology industry." }, "location" : "Av. dos Autonomistas - Vila Yara, Osasco - SP", "locations" : [ "Av. dos Autonomistas - Vila Yara", "Osasco - SP" ], "timestamp" : "2026-06-15T00:40:24.592", "fingerprint" : "a2ba49d16df5b8df856b3b9edc8330ee44616fe91c6964317ed351a555c023d3", "source" : "greenhouse", "language" : "pt", "applyUrl" : "https://job-boards.greenhouse.io/ifoodcarreiras/jobs/8505787002", "externalId" : "8505787002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Osasco", "state" : "São Paulo", "country" : "Brazil", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-23.5324859,-46.7916801" } ], "locationText" : "Osasco, São Paulo, Brazil", "experienceLevel" : "Manager", "domainKnowledge" : "Backend engineering; Distributed systems; Event-driven architecture; Microservices; APIs; E-commerce platform", "domainList" : [ "backend-engineering", "distributed-systems", "event-driven-architecture", "microservices", "apis", "e-commerce-platform" ], "domainSpecificKnowledge" : [ "Backend engineering", "Distributed systems", "Event-driven architecture", "Microservices", "APIs", "E-commerce platform" ], "workSiteFlexibility" : "Onsite", "rawDescription" : "Nosso Modo de Fazer no Time: Transforme sua carreira com o iFood! Somos uma empresa brasileira de tecnologia referência na América Latina. Por meio de soluções inovadoras, conectamos milhares de restaurantes a milhões de consumidores diariamente com uma média de 100 milhões de pedidos mensais. Além do delivery de comida, também somos Mercado, Farmácia e Pet. Temos também o iFood Pago, nossa Fintech, que engloba o iFood Benefícios, o vale alimentação e refeição do iFood e o próprio iFood Pago, o banco do restaurante. Junte-se a nós e faça parte de uma equipe que está sempre à frente com tecnologia de ponta e inovação constante. Seu Cardápio Diário: Liderar e gerenciar equipes de tecnologia, promovendo um ambiente de trabalho colaborativo e inovador e de alta perfomance. Desenvolver e implementar estratégias tecnológicas alinhadas com os objetivos de negócio da empresa. Facilitar a comunicação entre equipes técnicas e não técnicas, garantindo que os projetos estejam alinhados com as expectativas dos stakeholders. Promover a adoção de melhores práticas de desenvolvimento de software, incluindo metodologias ágeis e DevOps. Garantir a qualidade e a segurança das soluções desenvolvidas pela equipe. Possuir um perfil técnico, com a capacidade de desenhar soluções tecnológicas inovadoras que atendam às necessidades do negócio. Ingredientes Que Buscamos: Experiência comprovada em liderança de equipes de tecnologia, com um histórico de sucesso na entrega de projetos complexos e de alta escalabilidade. Sólida compreensão técnica em engenharia backend, com proficiência em Kotlin (linguagem principal do time) e/ou Golang. Forte visão arquitetural, com experiência em sistemas distribuídos, arquitetura orientada a eventos, microsserviços e APIs. Conhecimento em AWS, incluindo serviços como SNS, SQS e EKS. Experiência com metodologias ágeis e práticas de DevOps. Familiaridade com ferramentas de monitoramento e observabilidade como DataDog e Grafana. Forte capacidade analítica, resiliência e organização para gerenciar temas complexos em uma plataforma core de e-commerce. Para Realçar o Sabor: Experiência prévia em marketplaces. Buscamos uma pessoa apaixonada por inovação e tecnologia, que esteja sempre em busca de novos aprendizados e que goste de desafios. Se você se identifica com este perfil, adoraríamos conhecer você!", "summaryDescription" : "Software Engineering Manager - Backend at iFood", "postedDate" : "2026-06-12T22:11:20.493", "createdAt" : "2026-06-12T22:11:20.493", "lastUpdated" : "2026-06-15T00:40:24.592", "ingestTimestamp" : "2026-06-12T22:11:20.493", "mongoId" : "6a2c5fbb74d8ee00a08ee312", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Backend engineering", "Distributed systems", "Event-driven architecture", "Microservices", "APIs", "E-commerce platform" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "local-commerce-|-tech", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a308009f292fd229c060e35", "title" : "Lead Backend Development Engineer", "company" : "Bybit", "industry" : "FinTech", "salary" : { "min" : 180000.0, "max" : 300000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Backend Development Engineer in Kuala Lumpur, Malaysia, adjusted for FinTech industry and company size." }, "location" : "Kuala Lumpur Tech Office", "locations" : [ "Kuala Lumpur Tech Office" ], "timestamp" : "2026-06-16T10:53:42.154", "fingerprint" : "64de1cb7f831946ce0b08451f358167babd123460fffd797866faeb490f5c74a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/bybit/jobs/4855359101", "externalId" : "4855359101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kuala Lumpur", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.1516964,101.6942371" } ], "locationText" : "Kuala Lumpur, Malaysia", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "LLM API, SSE", "professionalSkills" : [ "System design", "Integration solutions" ], "hardSkillsList" : [ "Data structures", "Scalable code" ], "softSkillsList" : [ "Self-driven", "Logical thinking", "Problem-solving" ], "hardSkills" : [ { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Scalable code", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-driven" }, { "name" : "Logical thinking" }, { "name" : "Problem-solving" } ], "coreResponsibilities" : "Develop AI Gateway Platform, Develop AI Infrastructure, Integrate multi-model access, Handle AI technical challenges, Manage long-lived connections, Own module design, Implement technical modules", "teamCollaboration" : "Collaborative team mindset", "domainKnowledge" : "Digital finance; Web3", "domainList" : [ "digital-finance", "web3" ], "domainSpecificKnowledge" : [ "Digital finance", "Web3" ], "continuousLearning" : "Study Growth Fund", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "High-quality code, Scalable system code", "qualificationsPreferred" : "Familiarity with LLM API, Experience handling SSE, Experience managing long-lived connections", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Job Responsibilities AI Gateway Platform Development solid understanding of data structures and algorithms; ability to write high-quality, scalable system-level code. AI Infrastructure Development: Familiarity with mainstream LLM API specifications; ability to design efficient integration solutions for multi-model access. Hands-on experience handling AI-specific technical challenges such as streaming (SSE) and long-lived connection management. Networking ability to independently own the design and implementation of individual technical modules. Core Soft Skills (Potential & Growth) Highly self-driven, capable of executing tasks independently with a high standard of quality. Rigorous logical thinking, strong problem-solving ability in complex scenarios, and a collaborative team mindset. Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.", "summaryDescription" : "Lead Backend Development Engineer at Bybit. Develop AI Gateway Platform. Develop AI Infrastructure", "postedDate" : "2026-06-16T01:20:25.650", "createdAt" : "2026-06-16T01:20:25.650", "lastUpdated" : "2026-06-16T10:53:42.154", "ingestTimestamp" : "2026-06-16T01:20:25.650", "mongoId" : "6a308009f292fd229c060e35", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Data structures", "Scalable code", "Self-driven", "Logical thinking", "Problem-solving", "System design", "Integration solutions", "Digital finance", "Web3" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde4492beec4dd3d9a3374", "title" : "2026 Engineering Intern: Austin District - Various Locations", "company" : "TxDOT", "industry" : "Government", "salary" : { "min" : 18.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations", "Hourly", "Nonexempt,
Austin District Headquarters (14DISTHQ)
7901 NORTH IH 35
Austin, 78753

Bastrop Area Engr/Maint Sect (14BASTRPCO)
174 SH 21 EAST
Bastrop, 78602

North Austin Area Engr Office (14NAUSTNAE)
1001 EAST PARMER LANE, STE B
Austin, 78753

Georgetown-Willmsn Co Ae/Maint (14WLLMSNCO)
2727 SOUTH AUSTIN AVE
Georgetown, 78627

Burnet Co Area Engr/Maint Sect (14BURNETCO)
3029 SH 29 EAST
Burnet, 78611

South Travis Area Engr Office (14STRVISAE)
9725 SOUTH IH 35
Austin, 78744

, Austin District Headquarters" ], "timestamp" : "2026-06-16T06:15:12.024", "fingerprint" : "3bfc9a685725ee2d0ad072f11e2402af9d0c541305d3f70d55bd3762eec5cb5c", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=42713", "externalId" : "42713", "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" : "INTERNSHIP", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "professionalSkills" : [ "Engineering support", "Data collection" ], "majorSkills" : "Engineering support, Data collection", "majorSkillsList" : [ "Engineering support", "Data collection" ], "coreResponsibilities" : "Assist in transportation engineering support, Perform construction inspection, Perform maintenance inspection, Perform structural construction, Perform structural maintenance, Perform laboratory work, Perform landscaping, Perform surveying, Collect engineering data, Operate data collection equipment", "domainKnowledge" : "Transportation engineering", "domainList" : [ "transportation-engineering" ], "domainSpecificKnowledge" : [ "Transportation engineering" ], "toolProficiency" : [ "Data collection equipment" ], "specialRequirements" : "Valid driver’s license (if 18+), May use power tools (if 18+)", "qualificationsBasic" : "16 years old, U. S. Citizen or eligible to work, Currently enrolled as a student", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "This position is for internships during the months of May-August TxDOT's Austin District has job openings for Intern Engineering Support Techs at various offices across the Austin Metro Area. Annually, over 500 College and High School students from across Texas and beyond select the Texas Department of Transportation as their employer of choice. A paid internship is a great opportunity to explore what TxDOT has to offer, expand your knowledge and skills, and possibly serve as a gateway to future job opportunities with the agency. Many students choose to join our team while they complete their college education. At TxDOT, you will gain valuable experience working with skilled and licensed professionals to develop and enhance job skills through practical application. Engineering Support Techs assists in transportation engineering support work such as construction or maintenance inspection, structural construction or maintenance, laboratory work, landscaping, surveying, or engineering data collection, operating data collection equipment, and other entry-level engineering support work. Employees at this level perform assignments following specific instructions and are subject to frequent review by the immediate supervisor. To qualify, students must: Must be 16 years old Be a U.S. Citizen or be eligible to work in the U.S. Be currently enrolled as a student at a high school, technical school, college or university. Note: Employees at least 18 years of age with a valid driver’s license may be assigned driving duties and may use power tools. Possible Work Location(s): Austin District Headquarters: 7901 North IH 35, Austin TX 78753 North Travis Area Office: 1001 E. Parmer Lane, Austin TX 78753 South Travis Area Office: 1925 S. IH 35, Austin TX 78744 Bastrop Area Office: 174 SH 21 East, Bastrop TX 78602 Burnet Area Office: 3029 SH 29 East, Burnet TX 78611 Georgetown Area Office: 2727 S Austin Ave, Georgetown TX 78626 Salary Plan/Grade: Intern Engineering Support: A11 ($18-$22/Hourly) 18.00 23.00", "summaryDescription" : "2026 Engineering Intern: Austin District - Various Locations at TxDOT. Skills: Engineering support, Data collection. Assist in transportation engineering support. Perform construction inspection", "createdAt" : "2026-06-14T20:49:37.809", "lastUpdated" : "2026-06-16T06:15:12.024", "ingestTimestamp" : "2026-06-14T20:49:37.809", "mongoId" : "69dde4492beec4dd3d9a3374", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 45760, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Engineering support", "Data collection", "Transportation engineering", "Data collection equipment" ], "skillCount" : 4, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "693072a370f0b99d58ffb611", "title" : "Robotics - Software Development Engineer Intern/Co-op - 2026", "company" : "Amazon.com Services LLC", "industry" : "Software Development, subsidiaries", "salary" : { "min" : 4784.0, "max" : 9615.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Westboro, Wisconsin, USA", "locations" : [ "Westboro, Wisconsin, USA" ], "timestamp" : "2026-06-15T03:54:46.059", "fingerprint" : "98976521282f3e1dac20d3f9a767346a2e3fcfcc1944a458465a8341cda8d77d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136266/apply", "externalId" : "d079f216-d50f-4658-abb5-45d6e0e3efbc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Westboro", "state" : "Wisconsin", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "45.3535698,-90.2967575" } ], "locationText" : "Westboro, Wisconsin, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Java, Python, C++, C#, Go, Rust, TypeScript, AWS, SQL, NoSQL, GenAI, AI", "professionalSkills" : [ "Problem-solving", "Analytical skills" ], "hardSkillsList" : [ "Data structure implementation", "Algorithm development", "Object-oriented design" ], "hardSkills" : [ { "name" : "Data structure implementation", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" }, { "name" : "Object-oriented design", "level" : "intermediate" } ], "majorSkills" : "Software Development, Robotics, Cloud-native architectures, Microservices", "majorSkillsList" : [ "Software Development", "Robotics", "Cloud-native architectures", "Microservices" ], "coreResponsibilities" : "Collaborate with Amazonians to design products, Build innovative products, Operate innovative services, Participate in technical discussions, Design scalable solutions, Develop scalable solutions, Use cloud-native architectures, Use microservices, Participate in code reviews, Contribute to technical documentation, Build resilient distributed systems, Maintain resilient distributed systems, Leverage GenAI tools, Contribute to GenAI tools, Use AI-powered tools, Write clean code, Write maintainable code, Follow best practices, Follow design patterns, Work in agile environment, Practice CI/CD principles, Participate in operational responsibilities, Perform on-call duties, Demonstrate operational excellence, Monitor production issues, Troubleshoot production issues, Resolve production issues, Design software components, Develop software components, Test software components, Interact with fulfillment center technologies", "teamCollaboration" : "Cross-disciplinary teams; Collaborative team environment", "projectManagementSkills" : [ "Agile environment", "CI/CD principles" ], "domainKnowledge" : "Robotics; Computer vision; Machine learning; Optimization; Manipulation; Perception; Motion planning; Controls; Movement; Autonomous navigation; Path planning; Fulfillment center technologies; Cloud services; Distributed computing environment; Cloud-native architectures; Microservices", "domainList" : [ "robotics", "computer-vision", "machine-learning", "optimization", "manipulation", "perception", "motion-planning", "controls", "movement", "autonomous-navigation", "path-planning", "fulfillment-center-technologies", "cloud-services", "distributed-computing-environment", "cloud-native-architectures", "microservices" ], "domainSpecificKnowledge" : [ "Robotics", "Computer vision", "Machine learning", "Optimization", "Manipulation", "Perception", "Motion planning", "Controls", "Movement", "Autonomous navigation", "Path planning", "Fulfillment center technologies", "Cloud services", "Distributed computing environment", "Cloud-native architectures", "Microservices" ], "toolProficiency" : [ "Version control systems" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Technical documentation", "continuousLearning" : "Mentorship", "innovationCreativity" : "Innovative technology; Creating new products; Creating new features; Creating new services", "problemSolvingSkills" : "Problem-solving; Analytical skills; Troubleshooting", "specialRequirements" : "On-call duties", "qualificationsBasic" : "18 years of age or older, Enrolled in Bachelor's degree or above, Experience with at least one general-purpose programming language, Experience with data structure implementation, Experience with basic algorithm development, Experience with object-oriented design principles, Minimum of one quarter/semester/trimester remaining in studies after internship", "qualificationsPreferred" : "Experience from previous technical internship(s), Demonstrated project experience, Experience with Cloud platforms (AWS), Experience with database systems (SQL and NoSQL), Experience with AI tools for development productivity, Contributing to open-source projects, Experience with version control systems, Basic understanding of software development lifecycle (SDLC), Experience within Robotics, Experience within Computer Vision, Experience within Machine Learning, Experience within Optimization, Experience within Manipulation, Experience within Perception, Experience within Motion Planning and Controls, Experience within Movement, Experience within Autonomous Navigation, Experience within Path Planning", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. Our Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDEs solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years. At Amazon, we believe in ownership at every level. As an SDE-I, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth. Amazon internships across all seasons are full-time positions, and intern/co-ops should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. Please note that by applying to this role you would be considered for Software Development Engineer summer intern and spring/fall co-op roles on various Robotics teams. You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer. Key job responsibilities • Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward. • Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment. • Participate in code reviews and contribute to technical documentation. • Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective. • Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies. • Write clean, maintainable code following best practices and design patterns. • Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties. • Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues. • Design, develop and test software components that interact with fulfillment center technologies, such as robotics, material handling equipment, computer vision, and cloud services. A day in the life As an SDE intern/co-op, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns/co-ops throughout your internship. No matter the location of your internship/co-op, we give you the tools to own your project and learn in a real-world setting. About the team Learn more about Robotics at Amazon: https://amazon.jobs/en/teams/amazon-robotics https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model Basic Qualifications: - Are 18 years of age or older - Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields - Experience with at least one general-purpose programming language such as Java, Python, C++, C#, Go, Rust, or TypeScript - Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles Preferred Qualifications: - Experience from previous technical internship(s) or demonstrated project experience - Experience with Cloud platforms (preferably AWS), database systems (SQL and NoSQL), AI tools for development productivity, contributing to open-source projects, and/or version control systems - Strong problem-solving and analytical skills; Excellent written and verbal communication skills - Demonstrated ability to learn and adapt to new technologies quickly - Basic understanding of software development lifecycle (SDLC) - Experience within Robotics, Computer Vision, Machine Learning, Optimization, Manipulation, Perception, Motion Planning and Controls, Movement, Autonomous Navigation, Path Planning, or related 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 $47.84/hr in our lowest geographic market up to $96.15/hr 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" : "Robotics - Software Development Engineer Intern/Co-op - 2026 at Amazon.com Services LLC. Skills: Software Development, Robotics, Cloud-native architectures, Microservices. Collaborate with Amazonians to design products. Build innovative products", "postedDate" : "2026-06-13T08:55:11.484", "createdAt" : "2026-06-13T08:55:11.484", "lastUpdated" : "2026-06-15T03:54:46.059", "ingestTimestamp" : "2026-06-13T08:55:11.484", "mongoId" : "693072a370f0b99d58ffb611", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136266/apply", "salaryAnnualMin" : 9950720, "salaryAnnualMax" : 19999200, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data structure implementation", "Algorithm development", "Object-oriented design", "Software Development", "Robotics", "Cloud-native architectures", "Microservices", "Problem-solving", "Analytical skills", "Agile environment", "CI/CD principles", "Computer vision", "Machine learning", "Optimization", "Manipulation", "Perception", "Motion planning", "Controls", "Movement", "Autonomous navigation", "Path planning", "Fulfillment center technologies", "Cloud services", "Distributed computing environment", "Version control systems" ], "skillCount" : 25, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "69e104402beec4dd3def252d", "title" : "2026 Software Dev Engineer Intern", "company" : "Al Bawabah Al Aminah Lesenaet", "industry" : "Software Development, studentprograms", "salary" : { "min" : 7200.0, "max" : 10800.0, "currency" : "JOD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in Amman, Jordan, adjusted for the technology industry." }, "location" : "Amman, JOR", "locations" : [ "Amman, JOR" ], "timestamp" : "2026-06-15T05:35:58.694", "fingerprint" : "3496f6f255af20743fbad8f69c39719ecb1f629e53f16ea96c6f31e22b63c2e5", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387086/apply", "externalId" : "e3afc290-54ce-463f-a093-986e3405278d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amman", "state" : "Amman", "country" : "Jordan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "31.9515694,35.9239625" } ], "locationText" : "Amman, Amman, Jordan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "C/C++, Python, Java, Perl, GenAI, AI, AWS", "professionalSkills" : [ "System design", "Operational excellence" ], "hardSkillsList" : [ "Object-oriented design", "Operating systems", "Algorithms", "Data structures", "Complexity analysis", "Optimization mathematics", "Linear programming", "Nonlinear optimization", "Machine learning", "Deep learning", "NLP", "Computer vision", "Data science" ], "hardSkills" : [ { "name" : "Object-oriented design", "level" : "intermediate" }, { "name" : "Operating systems", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Complexity analysis", "level" : "intermediate" }, { "name" : "Optimization mathematics", "level" : "intermediate" }, { "name" : "Linear programming", "level" : "intermediate" }, { "name" : "Nonlinear optimization", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "NLP", "level" : "intermediate" }, { "name" : "Computer vision", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" } ], "majorSkills" : "Software development, Cloud-native architectures, Distributed systems", "majorSkillsList" : [ "Software development", "Cloud-native architectures", "Distributed systems" ], "coreResponsibilities" : "Collaborate and communicate effectively, Design innovative products, Build innovative products, Operate innovative products, Participate in technical discussions, Design scalable solutions, Develop scalable solutions, Participate in code reviews, Contribute to technical documentation, Build resilient distributed systems, Maintain resilient distributed systems, Leverage GenAI tools, Contribute to GenAI tools, Write clean code, Write maintainable code, Demonstrate operational excellence, Troubleshoot production issues, Resolve production issues", "teamCollaboration" : "Cross-disciplinary teams; Intern community", "domainKnowledge" : "Cloud-native architecture; Microservices; Distributed computing; Distributed systems; Data mining; Automation; Optimization; Scalability; Security", "domainList" : [ "cloud-native-architecture", "microservices", "distributed-computing", "distributed-systems", "data-mining", "automation", "optimization", "scalability", "security" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Microservices", "Distributed computing", "Distributed systems", "Data mining", "Automation", "Optimization", "Scalability", "Security" ], "communicationSkills" : "Technical discussions", "documentationSkills" : "Technical documentation", "continuousLearning" : "Mentorship; Learning sessions; Learning platforms", "innovationCreativity" : "Creating new products; Creating new features; Creating new services", "problemSolvingSkills" : "Solve complex problems; Managing ambiguity", "qualificationsBasic" : "Enrolled in Bachelor's degree or above, Knowledge of C/C++, Python, Java or Perl, Knowledge of computer science fundamentals", "qualificationsPreferred" : "Experience from technical internship, Experience with distributed, multi-tiered systems, Experience with algorithms, Experience with relational databases, Experience in optimization mathematics, Experience with machine learning models, Experience researching machine learning, Experience researching deep learning, Experience researching NLP, Experience researching computer vision, Experience researching data science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. Our Software Development Engineer (SDE) interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years. At Amazon, we believe in ownership at every level. As an SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth. Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon workday. Key job responsibilities • Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward. • Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment. • Participate in code reviews and contribute to technical documentation. • Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective. • Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies. • Write clean, maintainable code following best practices and design patterns. • Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues. A day in the life As an intern, you will be matched to a manager and a mentor. You will have the opportunity to influence the evolution of Amazon technology and lead mission critical projects early in your career. Your design, code, and raw smarts will contribute to solving some of the most complex technical challenges in the areas of distributed systems, data mining, automation, optimisation, scalability, and security – just to name a few. In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting. Many of our technologies overlap, and you would be hard pressed to find a team that is not using Amazon Web Services (AWS), touching the catalogue, or iterating services to better personalise for customers. We make the impossible, possible. About the team Intern Community: As an Amazon Intern, you'll be part of a vibrant, supportive community that empowers your growth and development. You'll collaborate with interns from around the world, networking and participating in social events to broaden your perspectives. You can also join specialized groups focused on areas like sustainability to explore your diverse interests. Support: The internship program provides a robust support system, including weekly intern office hours, dedicated IT and HR support, and a program team committed to your success. This ensures you have the guidance and assistance needed to thrive. Learning Sessions: Exclusive learning sessions will further enhance your skills, granting you access to Amazon's cutting-edge learning platforms and the expertise of industry leaders. These structured development opportunities will prepare you for the next step in your career. Opportunities: Upon successful completion of the internship, you may be considered for a graduate role or a second internship, allowing you to continue your journey with Amazon. Additionally, you'll enjoy a competitive monthly salary, relocation support, and access to a range of employee benefits. Basic Qualifications: - Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, or related fields at time of application - Knowledge of programming languages such as C/C++, Python, Java or Perl - Knowledge of computer science fundamentals such as object-oriented design, operating systems, algorithms, data structures, and complexity analysis Preferred Qualifications: - Experience from a technical internship - Experience with distributed, multi-tiered systems, algorithms, and relational databases - Experience in optimization mathematics such as linear programming and nonlinear optimization - Experience with machine learning models - Experience researching about machine learning, deep learning, NLP, computer vision, data science 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" : "2026 Software Dev Engineer Intern at Al Bawabah Al Aminah Lesenaet. Skills: Software development, Cloud-native architectures, Distributed systems. Collaborate and communicate effectively. Design innovative products", "postedDate" : "2026-06-13T15:24:38.309", "createdAt" : "2026-06-13T15:24:38.309", "lastUpdated" : "2026-06-15T05:35:58.694", "ingestTimestamp" : "2026-06-13T15:24:38.309", "mongoId" : "69e104402beec4dd3def252d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10387086/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Object-oriented design", "Operating systems", "Algorithms", "Data structures", "Complexity analysis", "Optimization mathematics", "Linear programming", "Nonlinear optimization", "Machine learning", "Deep learning", "NLP", "Computer vision", "Data science", "Software development", "Cloud-native architectures", "Distributed systems", "System design", "Operational excellence", "Cloud-native architecture", "Microservices", "Distributed computing", "Data mining", "Automation", "Optimization", "Scalability", "Security" ], "skillCount" : 26, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305815f292fd229cf40284", "title" : "Design Intern (Fall 2026)", "company" : "HDR", "industry" : "Consulting", "salary" : { "min" : 18.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States-Colorado-Denver", "locations" : [ "United States-Colorado-Denver" ], "timestamp" : "2026-06-16T07:16:22.314", "fingerprint" : "9da6f0e12fb5c220210881542c57c3f9a3493d8abe7106b52e49422506271630", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=784854", "externalId" : "784854", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "coreResponsibilities" : "Offer real-world experience on exciting projects, Perform assignments under direct supervision, Participate in architectural design process, Develop alternative solutions, Develop presentation graphics, Follow through on design development drawings, Follow through on design development models, Collaborate with production staff for technical details, Collaborate with production staff for completion of construction, Perform other duties as needed", "domainKnowledge" : "Architectural design", "domainList" : [ "architectural-design" ], "domainSpecificKnowledge" : [ "Architectural design" ], "continuousLearning" : "Mentoring programs", "qualificationsBasic" : "2 years completed toward degree, 3.0+ GPA", "qualificationsPreferred" : "Demonstrated knowledge of software packages related to field of study/industry", "remoteFriendly" : false, "rawDescription" : "At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story: ' https://www.hdrinc.com/our-story' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. We believe architecture is more than designing buildings, it’s about providing solutions to societal challenges and creating stronger, more vibrant communities. As part of our Architecture practice at HDR, you’ll contribute to the design and delivery of spaces and experiences that advance community well-being around the world. From healing environments and learning spaces to research labs and civic landmarks and infrastructure, your work will directly influence how individuals experience the world around them. We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design excellence with an emphasis on resilience and sustainability to pioneering innovative building technologies, your contributions will leave a lasting impact on the built environment. This isn’t just a job, it’s a chance to drive meaningful change and help define the future of our communities. In the role of Design Intern (Fall 2026) Offer real-world experience on exciting projects Connect with recent college graduates and our company leaders through mentoring and young professionals programs Perform assignments under the direct supervision of an Architect, Project Manager, or other professionals Participate in the architectural design process, and develop alternative solutions and presentation graphics used to communicate concepts to client or for agency approval Follow through on design development drawings and models, and collaborate with production staff for technical details and completion of construction drawings Perform other duties as needed Preferred Qualifications 2 years completed toward degree with 3.0+ GPA Demonstrated knowledge of software packages related to field of study/industry We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. The expected compensation range for this position depends upon skills, experience, education and geographical location. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.) Colorado: %2418 - %2430", "summaryDescription" : "Design Intern (Fall 2026) at HDR. Offer real-world experience on exciting projects. Perform assignments under direct supervision", "createdAt" : "2026-06-15T23:09:19.623", "lastUpdated" : "2026-06-16T07:16:22.314", "ingestTimestamp" : "2026-06-15T23:09:19.623", "mongoId" : "6a305815f292fd229cf40284", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 37440, "salaryAnnualMax" : 62400, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Architectural design" ], "skillCount" : 1, "jobCategory" : "product", "jobSubcategory" : "design", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Architecture & Planning", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb05374d8ee00a09d9a2e", "title" : "Software Engineering Intern (Data Platform)", "company" : "Terminal", "industry" : "Engineering", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Software Engineering Intern in Toronto, Canada, adjusted for the technology industry." }, "location" : "\uD83D\uDCCD Toronto, ON", "locations" : [ "\uD83D\uDCCD Toronto, ON" ], "timestamp" : "2026-06-15T05:24:08.966", "fingerprint" : "bdef6c7d2d9c1ba13a0c6a4c43d6ef5d07962df05ce08590546b7a0d3c620142", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/terminal/d7e128ed-617c-4b9b-9e42-0e909fb25729/application", "externalId" : "d7e128ed-617c-4b9b-9e42-0e909fb25729", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "INTERNSHIP", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Java, Python, Spring Boot, Apache Iceberg, Apache Doris, AWS S3, AWS Kinesis, Apache Kafka, Apache Flink, Apache Spark, Pulumi, AWS CDK", "professionalSkills" : [ "System design" ], "hardSkillsList" : [ "Data structures", "Algorithms", "System design", "Data pipelines", "Stream processing" ], "hardSkills" : [ { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Stream processing", "level" : "intermediate" } ], "majorSkills" : "Data platforms, Data streaming, Data storage, Data analytics", "majorSkillsList" : [ "Data platforms", "Data streaming", "Data storage", "Data analytics" ], "coreResponsibilities" : "Build streaming data pipelines, Optimize streaming data pipelines, Build batch data pipelines, Optimize batch data pipelines, Work on scalable storage solutions, Handle petabytes of data, Support data quality implementation, Support data processing implementation, Participate in code reviews, Learn best practices, Support customers, Engage with customers, Support partners, Engage with partners, Collaborate with teams, Understand requirements, Deliver solutions", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Large-scale data systems; Real-time processing; IoT data; Time-series data", "domainList" : [ "large-scale-data-systems", "real-time-processing", "iot-data", "time-series-data" ], "domainSpecificKnowledge" : [ "Large-scale data systems", "Real-time processing", "IoT data", "Time-series data" ], "toolProficiency" : [ "GitHub Actions" ], "continuousLearning" : "Learn best practices", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "4-12 month internship, On-site in Toronto", "qualificationsBasic" : "Understanding of software patterns, Understanding of data structures, Understanding of algorithms, Understanding of basic system design, Experience with Java, Curious about large-scale data systems, Curious about real-time processing, Problem-solving skills, Eagerness to learn, Able to work collaboratively", "qualificationsPreferred" : "Coursework involving databases, Coursework involving distributed systems, Coursework involving data processing, Projects involving data pipelines, Projects involving stream processing, Exposure to AWS, Exposure to GCP, Exposure to Azure, Experience working with Java, Exposure to Kafka, Exposure to Flink, Exposure to Spark", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT TERMINAL Terminal is Plaid for Telematics in commercial trucking. Companies building the next generation of insurance products, financial services and fleet software for trucking use our Universal API to access GPS data, speeding data and vehicle stats. We are a fast-growing, venture-backed startup supported by top investors including Y Combinator, Golden Ventures and Wayfinder Ventures. Our exceptionally talented team is based in Toronto, Canada. For more info, check out our website: https://withterminal.com Note: This role is only available to Toronto/GTA-based candidates ABOUT THE ROLE We're looking for a software engineering intern who's excited about building scalable data platforms. This is an opportunity to work on real production systems, contributing to the data platform that powers Terminal's API and handles everything from data streaming and storage to analytics at petabyte scale. You'll work closely with our senior software engineers, contributing to projects that directly impact how we process and deliver high-volume telematics data to our customers. WHAT YOU WILL DO - Help build and optimize streaming and batch data pipelines that support our core product - Work on scalable storage solutions for handling petabytes of IoT and time-series data - Support implementation of data quality and data processing capabilities - Participate in code reviews and learn best practices for writing clean, maintainable code - Directly support and engage with our customers and partners - Collaborate with cross-functional teams to understand requirements and deliver solutions - Gain hands-on experience with modern data infrastructure technologies and AI tools ABOUT YOU - Available for a 4-12 month internship on-site at our office in downtown Toronto, starting this upcoming fall or winter term - Currently pursuing an undergraduate degree in Computer Science or a related field - Completed at least 2 full years of undergrad (3rd+ year) - Completed at least 1 prior professional software internship REQUIRED QUALIFICATIONS - Understanding of software patterns, data structures, algorithms, and basic system design - Experience with a compiled programming language like Java - Curious about large-scale data systems and real-time processing - Strong problem-solving skills and eagerness to learn - Able to work collaboratively in a team environment BONUS POINTS - Coursework or projects involving databases, distributed systems, or data processing - Personal or academic projects involving data pipelines or stream processing - Exposure to cloud platforms (AWS, GCP, or Azure) - Experience working with Java - Exposure to technologies similar to Kafka, Flink, or Spark TECHNOLOGIES YOU’LL LEARN - Languages: Java, Python - Framework: Spring Boot - Storage: Apache Iceberg, Apache Doris, AWS S3 - Streaming + ETL: AWS Kinesis, Apache Kafka, Apache Flink, Apache Spark - Infrastructure as Code: Pulumi, AWS CDK - CI/CD: GitHub Actions THE INTERVIEW PROCESS 1. Coding Challenge (30 min) + Project Showcase (30 min) 2. Cultural Loop (60 min)", "summaryDescription" : "Software Engineering Intern (Data Platform) at Terminal. Skills: Data platforms, Data streaming, Data storage, Data analytics. Build streaming data pipelines. Optimize streaming data pipelines", "createdAt" : "2026-06-14T04:11:43.992", "lastUpdated" : "2026-06-15T05:24:08.966", "ingestTimestamp" : "2026-06-14T04:11:43.992", "mongoId" : "6a2cb05374d8ee00a09d9a2e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data structures", "Algorithms", "System design", "Data pipelines", "Stream processing", "Data platforms", "Data streaming", "Data storage", "Data analytics", "Large-scale data systems", "Real-time processing", "IoT data", "Time-series data", "GitHub Actions" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30670ef292fd229cfb89f0", "title" : "Senior Software Engineer - Backend", "company" : "Ocrolus Inc.", "industry" : "FinTech", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Software Engineer in India, adjusted for FinTech industry and remote work." }, "location" : "Remote - IND", "locations" : [ "Remote - IND" ], "timestamp" : "2026-06-16T09:22:12.759", "fingerprint" : "a201641cc8fed67c44c42613721be2d2b8291d5a0eeef3a03b3979bdef0a90cd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ocrolusinc/jobs/6016016004", "externalId" : "6016016004", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Go, Java, Postgres, MySQL, Spring, Flask", "professionalSkills" : [ "System design", "Architectural leadership" ], "hardSkillsList" : [ "Data analysis", "Build scalable systems", "Build data pipelines" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Build scalable systems", "level" : "intermediate" }, { "name" : "Build data pipelines", "level" : "intermediate" } ], "majorSkills" : "Distributed systems, AI/ML, Data pipelines", "majorSkillsList" : [ "Distributed systems", "AI/ML", "Data pipelines" ], "coreResponsibilities" : "Design Microservices, Implement Microservices, Maintain Microservices, Develop cloud based software products, Build systems for new products, Build services for new products, Build tools for new products, Handle business requirements, Securely scale services, Build online services, Scale online services, Build data pipelines, Scale data pipelines, Collaborate with teams, Support testing process, Troubleshoot issues, Resolve issues", "teamCollaboration" : "Collaborate with other teams; Cross-functional teams", "projectManagementSkills" : [ "Agile methodologies" ], "domainKnowledge" : "AI; Fintech; Lending workflows; Document automation; Fraud detection; Cash flow analytics; Income analytics; Credit applications; Loan underwriting", "domainList" : [ "ai", "fintech", "lending-workflows", "document-automation", "fraud-detection", "cash-flow-analytics", "income-analytics", "credit-applications", "loan-underwriting" ], "domainSpecificKnowledge" : [ "AI", "Fintech", "Lending workflows", "Document automation", "Fraud detection", "Cash flow analytics", "Income analytics", "Credit applications", "Loan underwriting" ], "toolProficiency" : [ "Spring", "Flask" ], "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Bachelor's degree in Computer Science, 3 to 5 years of engineering experience, Expert in Java and/or Python, Solid database skills, Data modeling experience, Experience with Web Frameworks, Experience leading and owning projects, Experience with agile methodologies, Experience with automated testing, Familiarity with containerisation, Familiarity with microservices architecture, Familiarity with continuous integration, Familiarity with Amazon Web Services, Familiarity with deployment", "qualificationsPreferred" : "Spring framework experience, Flask framework experience, Related ecosystems experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Come build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions. Our AI workflow and analytics platform for lenders is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy. Thanks to our advanced fraud detection and comprehensive cash flow and income analytics, our customers achieve greater efficiency in risk management, and provide expanded access to credit—ultimately creating a more inclusive financial system. Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business. Job Summary: We are looking for a Senior Software Engineer with a solid technical background and highly skilled in building scalable distributed systems, also good in data analysis and build feature/system based on data pattern. The candidate is capable of working in a fast-paced environment, and willing to take ownership to demonstrate engineering excellence. We have tons of complex technical problems specific to Detect platform for example: Build self learning system to achieve high accuracy of Extraction system Build time constraint fraud pattern identification using AI/ML technologies Machine first approach to perform document automation with self correction approach Identify Loan underwriting automation opportunity and create huge dent If you are excited about such problem statements and have skills to build such a system, you are the ideal candidate, please apply now, we have limited positions. What you'll do: Designing, implementing, and maintaining Microservices using Python, Go and Java. Designing and developing cloud based software products conforming to industry best practices. Build systems, services, and tools to handle new Ocrolus products and business requirements that securely scale over millions of transactions. Build and scale our fast-growing online services and data pipelines. Collaborate with other teams on security, reliability, and automation. Supporting the testing process, troubleshooting issues and resolving them. Who we're looking for: (Skill Sets and Qualifications) Bachelor's degree in Computer Science or related field. 3 to 5 years of engineering experience. Expert in Java and/or Python and experience in building complex systems and applications. Solid database skills (Postgres, MySQL etc) and data modeling experience. Experience with Web Frameworks like Spring, Flask, and related ecosystems Strong problem-solving and communication skills. Can contribute best-practices and architectural leadership to our backend applications and help pick the architecture, frameworks and tooling for our next generation platform. Experience leading and owning projects from beginning to end. Experience with agile methodologies and automated testing. Familiarity with containerisation, microservices architecture, continuous integration, Amazon Web Services, and deployment. Life at Ocrolus We’re a team of builders, thinkers, and problem solvers who care deeply about our mission — and each other. As a fast-growing, remote-first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact. Our culture is grounded in four core values: Empathy – Understand and serve with compassion Curiosity – Explore new ideas and question the status quo Humility – Listen, be grounded, and remain open-minded Ownership – Love what you do, work hard, and deliver excellence We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic. We look forward to building the future of lending together.", "summaryDescription" : "Senior Software Engineer - Backend at Ocrolus Inc.. Skills: Distributed systems, AI/ML, Data pipelines. Design Microservices. Implement Microservices", "postedDate" : "2026-06-15T23:28:41.452", "createdAt" : "2026-06-15T23:28:41.452", "lastUpdated" : "2026-06-16T09:22:12.759", "ingestTimestamp" : "2026-06-15T23:28:41.452", "mongoId" : "6a30670ef292fd229cfb89f0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Build scalable systems", "Build data pipelines", "Distributed systems", "AI/ML", "Data pipelines", "System design", "Architectural leadership", "Agile methodologies", "AI", "Fintech", "Lending workflows", "Document automation", "Fraud detection", "Cash flow analytics", "Income analytics", "Credit applications", "Loan underwriting", "Spring", "Flask" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a309bccf292fd229c0f44ae", "title" : "Senior Software Engineer, Backend", "company" : "Tubi", "industry" : "Media", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer, Backend in San Francisco, adjusted for Tubi's industry and company size." }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-16T12:40:31.839", "fingerprint" : "86f35de6df7d6dba349fdd295c73867b3e0f567b8a10c0d5a001af19ab428a97", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tubitv/jobs/8007794", "externalId" : "8007794", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About the Role: Tubi's Core Experience Backend team is responsible for building the high-performance, secure, and scalable systems that power our business. We have built disaster-resilient systems to ensure Tubi APIs continue to perform even under extreme traffic conditions. Our team and services have delivered seamless operations for massive events such as the Super Bowl and World Cup while consistently delivering a great experience to our viewers. On this team, you will participate in major campaigns, contribute to our critical backend services, support multiple platforms, and play a key role in shaping and refining the overall backend architecture. This is a hybrid role based out of our SF office. You must be willing to travel to our SF office two days/week. What You'll Do: We are looking for a software engineer who is proactive, collaborative, and pragmatic with a passion for solving real-world problems. In this role, you will: Design and implement high-performance backend services in Elixir Architect and evolve microservices and distributed systems in Kubernetes. Optimize systems for scale, resilience, observability, and security Collaborate with cross-functional teams to deliver pragmatic solutions to complex problems Explore and integrate AI-based development tools into daily workflows Work across service boundaries, own critical architecture/service design, and help evolve Tubi's backend system. Your Background: Experience in Elixir or strong background in other backend or functional programming languages Familiarity with gRPC/Protocol Buffers, RESTful API design, Kubernetes, and observability solutions Experience designing distributed systems with clean APIs and modular components System design and architecture skills with emphasis on reliability and performance Experience with continuous delivery of software systems Bonus / Preferred Rust programming experience Extensive experience with Elixir in production environments Familiarity with Pingora or Nginx Hands-on experience with Kubernetes The AI Mandate: AI-Driven Development Practice This role goes beyond traditional engineering: you will extensively use AI to build the backend stack. The goal is to unlock smarter execution, faster delivery, and automation at scale, while ensuring responsible use of these technologies. This includes but not limited to: AI-Augmented Backend Development: Using AI-assisted coding tools (Claude Code, Cursor, etc.) to accelerate development while maintaining rigorous standards for correctness, security, and performance. You will set the bar for how backend engineers harness AI to iterate faster, write safer code, and document systems more effectively. AI-Enhanced Architecture & Optimization: Exploring how AI can assist in system design, performance tuning, and anomaly detection across Tubi’s distributed backend. You will prototype and integrate AI-powered optimizations that improve throughput, reduce latency, and detect inefficiencies in large-scale microservice architectures. AI-Driven Developer Experience: Contributing to internal tools and platforms that use AI to improve the daily developer workflow, ranging from automated code reviews and test generation to smarter observability dashboards. You will help evolve Tubi’s backend development culture into an AI-native practice. #LI-CL1 #LI-Hybrid Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents. High cost labor markets such as but not limited to Los Angeles, New York City, and San Francisco $186,400—$266,300 USD Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits. The following distinctions below outline the differences between the Tubi and FOX benefits: For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time. For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters. For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi. For all full-time, regular employees, Tubi offers a monthly wellness reimbursement. About Tubi: Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.", "summaryDescription" : "Senior Software Engineer, Backend at Tubi", "postedDate" : "2026-06-16T03:17:09.118", "createdAt" : "2026-06-16T03:17:09.118", "lastUpdated" : "2026-06-16T12:40:31.839", "ingestTimestamp" : "2026-06-16T03:17:09.118", "mongoId" : "6a309bccf292fd229c0f44ae", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c909074d8ee00a0980abb", "title" : "Backend Software Engineer", "company" : "Netcraft", "industry" : "Cybersecurity", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Backend Software Engineer in the Cybersecurity industry in the United States, adjusted for remote work." }, "location" : "US", "locations" : [ "US" ], "certifications" : [ "US Government security clearance" ], "timestamp" : "2026-06-16T07:04:57.624", "fingerprint" : "123a23f7e0a3d0426f5c5304790b1cb4892b9ea4f4b697cf00d1bafcd3cc8bf3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/netcraft/jobs/4873069101", "externalId" : "4873069101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Go, TypeScript, Kubernetes, Terraform, AWS, EC2, S3, EKS, Route53, RDS, MySQL, MariaDB, Git, CI/CD, TCP, IPv4, IPv6, DNS, HTTP, TLS", "professionalSkills" : [ "System design", "Infrastructure support", "Feature development", "Service integration", "Incident prevention", "Root cause analysis", "Scaling bottlenecks", "Cost optimization", "Workflow management" ], "hardSkillsList" : [ "Backend development", "Container orchestration", "Infrastructure as code", "Database schema design", "Query optimization", "Computer networking" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "Container orchestration", "level" : "intermediate" }, { "name" : "Infrastructure as code", "level" : "intermediate" }, { "name" : "Database schema design", "level" : "intermediate" }, { "name" : "Query optimization", "level" : "intermediate" }, { "name" : "Computer networking", "level" : "intermediate" } ], "majorSkills" : "Backend Engineering, Cybercrime Detection, Kubernetes, Go, TypeScript", "majorSkillsList" : [ "Backend Engineering", "Cybercrime Detection", "Kubernetes", "Go", "TypeScript" ], "coreResponsibilities" : "Design features and improvements, Consider non-functional requirements, Maintain existing systems, Ensure system stability, Ensure system maintainability, Ensure operational reliability, Test work to high standard, Document work to high standard, Take responsibility for maintenance, Take responsibility for stability, Prevent incidents, Respond to issues with urgency, Identify root causes, Implement long-term fixes, Identify scaling bottlenecks, Resolve scaling bottlenecks, Be conscious of running costs, Collaborate with engineering teams, Ensure service integration, Work with cross-functional stakeholders, Propose solutions, Design solutions, Implement solutions, Work independently, Work proactively, Identify system improvements, Identify process improvements, Work effectively across time zones, Manage own workflow, Unblock self, Communicate decisions clearly, Provide infrastructure review, Provide infrastructure approval, Provide incident response, Participate in US on-call roster", "teamCollaboration" : "Globally distributed colleagues; Other engineering teams; Cross-functional stakeholders; UK team; US on-call roster", "domainKnowledge" : "Cybercrime detection; Deep & Dark Web; FedRAMP environment; Production systems; Internet exploration", "domainList" : [ "cybercrime-detection", "deep-dark-web", "fedramp-environment", "production-systems", "internet-exploration" ], "domainSpecificKnowledge" : [ "Cybercrime detection", "Deep & Dark Web", "FedRAMP environment", "Production systems", "Internet exploration" ], "toolProficiency" : [ "Kubernetes", "Terraform", "Git", "CI/CD" ], "communicationSkills" : "Written communication; Async communication", "documentationSkills" : "Design notes; MR comments", "continuousLearning" : "Learning resources; Udemy; Coursera", "innovationCreativity" : "AI development tools", "problemSolvingSkills" : "Root cause analysis; Incident response; Troubleshooting", "specialRequirements" : "US citizen, Ability to obtain security clearance, Overlap with UK hours, US on-call roster", "qualificationsBasic" : "Experience developing backend systems, Experience with Golang or Typescript, Experience with Kubernetes, Experience with Terraform, Experience using AWS services, Experience with SQL databases, Experience with Git, Experience with CI/CD pipelines, Based in the United States, United States citizen, Overlap 2 hours with UK hours", "qualificationsPreferred" : "East Coast-based candidate", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Netcraft Netcraft is the global leader in cybercrime detection and disruption. We’re a trusted partner for three of the four largest companies in the world and many large governments. We've blocked almost 200 million cyber-attacks to date, and we take down around 33% of the world's phishing attacks. Our purpose and passion are focused on just one thing: protecting the world from cybercrime. That passion shapes how we work, too. We’re proud of our talented team and the value each person brings, and we’ve built a workplace where people feel supported and inspired. From strong benefits and wellness programs to meaningful collaboration and team connection. The Role We’re searching for a Backend Software Engineer to join our growing engineering team as our first US based backend engineer. Based in the US, you’ll report to one of our Engineering Team Leads and work on the backend of a range of Internet exploration and cybercrime detection and disruption services, as well as provide infrastructure support when needed. A key part of this role is maintaining and improving existing applications in a FedRAMP environment, as well as new applications that support our core services. These systems are critical to the operation of our products, and the role requires engineers who take ownership of production systems and care deeply about their reliability, performance, and stability. Most of your time will be spent on core feature development for the Deep & Dark Web product, working in Go and TypeScript on a Kubernetes-based platform. You'll own the deployment configuration for services you maintain, using Terraform and Kubernetes manifests. You'll have access to cutting-edge AI development tools as part of a company-wide initiative to integrate AI into our engineering workflows. This role would suit an engineer who enjoys working on real-world production systems, taking ownership of services, and improving platforms over time. You communicate clearly in writing, as your globally distributed colleagues will often read your MR comments, design notes, and Slack messages hours after you write them. Day to day, you’ll be Designing and developing features and improvements to our products, while taking non-functional requirements like performance, reliability, and security into account. Maintaining and improving existing systems (based on Go/Typescript), ensuring stability, maintainability, and operational reliability. Testing and documenting your work to a high standard with strong attention to detail. Taking responsibility for system maintenance, operational stability, and incident prevention. Responding to issues with a sense of urgency and ownership, identifying root causes and implementing long-term fixes. Identifying scaling bottlenecks and resolving them, while being conscious of running costs. Collaborating with other engineering teams to ensure services you own are well-integrated with their services. Working with cross-functional stakeholders to help propose, design and implement solutions to meet business needs. Working independently and proactively, identifying opportunities to improve systems and processes over time. Working effectively across time zones — managing your own workflow, unblocking yourself when the UK team is offline, and communicating decisions clearly in async channels. Providing review and approval cover for infrastructure changes when the infrastructure engineer is unavailable. Providing incident response for the production environment, on a rotation-based, shared US on-call roster. What you’ll need to be successful Experience developing and maintaining production backend systems, ideally including Golang and Typescript or similar languages. Experience with container orchestration using Kubernetes or similar platforms. Experience with infrastructure-as-code tools such as Terraform. Experience using AWS services such as EC2, S3, EKS, Route53 and RDS, or equivalent services at other cloud providers. Experience working with SQL databases (such as MySQL or MariaDB), including schema design and query optimisation. The ability to work effectively as part of a distributed team across time zones, making good decisions and unblocking yourself when colleagues are offline. Strong attention to detail, particularly when reviewing and approving changes for compliance-controlled environments. A proactive mindset with a sense of urgency when addressing operational issues or incidents. Experience with version control systems, such as Git, and CI/CD pipelines. A good understanding of computer networking technologies, including TCP, IPv4, IPv6, DNS, HTTP, and TLS. You must be based in the United States and be a United States citizen. This role offers the flexibility to work in our offices in Lehi, Utah, or remotely within the United States. You must be able to overlap at least 2 hours per day with UK working hours, for real-time communication with Netcraft’s UK engineers. Whilst we prefer East Coast-based candidates, we are open to applicants from anywhere in the United States, so long as you can meet this requirement. Ability to obtain and maintain a US Government security and/or vendor clearance. Candidates do not need to be current clearance holders, but must be able to meet eligibility requirements for access to classified information if sponsored for clearance. The Rewards Package: 33 days vacation - includes national holidays which can be worked if you prefer Generous enhanced family leave and pay Enhanced sick pay, increasing with length of service Equity Tracking Units allowing you to share in Netcraft's long term success (eligibility criteria apply) Hybrid and flexible working options 401(k) Safe Harbor Plan with employer match Comprehensive private health cover, including medical, dental, vision and life insurance Meals, snacks, and drinks provided in the office Two paid Learning & Development days per year plus access to learning resources such as Udemy and Coursera to support your career Two Volunteering Days per year, to allow you to contribute to your wider community or charity Spot reward bonus scheme to reward truly outstanding contributions Employee Referral Bonus scheme Diversity, Equity & Inclusion This is deeply important to us. Through our ally network, we support under-represented groups and maintain a working environment free from bias, harassment, or discrimination. We encourage candidates from all backgrounds to apply. We’re also happy to make adjustments to the hiring process to ensure every candidate can participate fully. Please note: Netcraft does not accept unsolicited approaches from external recruiters.", "summaryDescription" : "Backend Software Engineer at Netcraft. Skills: Backend Engineering, Cybercrime Detection, Kubernetes, Go, TypeScript. Design features and improvements. Consider non-functional requirements", "postedDate" : "2026-06-14T20:07:33.144", "createdAt" : "2026-06-14T20:07:33.144", "lastUpdated" : "2026-06-16T07:04:57.624", "ingestTimestamp" : "2026-06-14T20:07:33.144", "mongoId" : "6a2c909074d8ee00a0980abb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Backend development", "Container orchestration", "Infrastructure as code", "Database schema design", "Query optimization", "Computer networking", "Backend Engineering", "Cybercrime Detection", "Kubernetes", "Go", "TypeScript", "System design", "Infrastructure support", "Feature development", "Service integration", "Incident prevention", "Root cause analysis", "Scaling bottlenecks", "Cost optimization", "Workflow management", "Cybercrime detection", "Deep & Dark Web", "FedRAMP environment", "Production systems", "Internet exploration", "US Government security clearance", "Terraform", "Git", "CI/CD" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Cybersecurity", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306e66f292fd229cfded52", "title" : "Senior Software Engineer, Backend", "company" : "Dave", "industry" : "Engineering", "salary" : { "min" : 150000.0, "max" : 187000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T08:41:46.517", "fingerprint" : "0ce4866c56bb7d2dadc87fd7ea6fe587a37421a5071e3c0207e63e03da762d77", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/dave/75e61fb3-3883-4d8f-8c2d-44f75ef9fc1a/application", "externalId" : "75e61fb3-3883-4d8f-8c2d-44f75ef9fc1a", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, NoSQL", "professionalSkills" : [ "System design", "Technical leadership" ], "hardSkillsList" : [ "Payment processing" ], "hardSkills" : [ { "name" : "Payment processing", "level" : "intermediate" } ], "majorSkills" : "Backend development, Distributed systems", "majorSkillsList" : [ "Backend development", "Distributed systems" ], "coreResponsibilities" : "Architect software solutions, Implement software solutions, Design large-scale backend distributed platforms, Write clean code, Write efficient code, Write maintainable code, Follow best practices, Follow coding standards, Coach during code reviews, Ensure best practices, Ensure standards, Provide technical leadership, Guide team's technical direction, Work closely with product managers, Work closely with designers, Work closely with other engineers, Understand business requirements, Translate requirements into technical specifications, Debug production issues, Troubleshoot production issues, Provide timely solutions, Eliminate potential for outages, Build robust distributed systems, Build efficient distributed systems, Build resilient distributed systems, Design data storage, Implement data storage, Enhance codebase, Refactor codebase, Improve maintainability, Improve scalability, Improve extensibility, Monitor system performance, Analyze system performance, Diagnose issues, Identify opportunities for optimization, Implement logging mechanisms, Implement application performance monitoring, Gather relevant metrics, Ensure comprehensive observability, Stay abreast of industry trends, Stay abreast of new technologies, Stay abreast of best practices, Share knowledge with team, Contribute to development process improvement, Contribute to methodology improvement", "teamCollaboration" : "Cross-functional teams; Collaborate with product managers; Collaborate with designers; Collaborate with engineers; Collaborate with data teams", "domainKnowledge" : "Payment processing regulations; PCI compliance; 3DS; Financial services; Credit products", "domainList" : [ "payment-processing-regulations", "pci-compliance", "3ds", "financial-services", "credit-products" ], "domainSpecificKnowledge" : [ "Payment processing regulations", "PCI compliance", "3DS", "Financial services", "Credit products" ], "continuousLearning" : "Learn from fellow top talent", "innovationCreativity" : "Finding innovative solutions", "problemSolvingSkills" : "Solving hard problems; Analyze complex problems", "outcomesObjectives" : "Help millions of people improve relationship with money; Power critical financial flows; Help millions of members manage and repay advances; Influence member trust; Influence product performance; Scale responsibly", "qualificationsBasic" : "4+ Years of Software Engineering Experience, Bachelor’s degree in Computer Science or related discipline, Solid understanding of software engineering principles, Solid understanding of design patterns, Solid understanding of algorithms, Experience with RESTful API design, Experience with RESTful API development, Demonstrated ability to analyze complex problems, Demonstrated ability to propose solutions, Demonstrated ability to implement solutions effectively, Proven track record of collaborating effectively with cross-functional teams", "qualificationsPreferred" : "Other majors considered with experience/training", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "DAVE VS. GOLIATH. WE’RE DAVE. Dave is a financial app on a mission to build products that level the financial playing field. It is redefining the financial landscape by leveraging technology to create an affordable, transparent, and user-centric access to liquidity for millions of Americans. As a leading innovator in the U.S. financial services sector, Dave’s digital financial platform offers products designed to meet the credit needs of those underserved by traditional financial institutions. Dave’s offerings include its flagship ExtraCash product, providing members up to $500 within minutes. The company is on track to launch several new product offerings in 2026, including a Buy Now Pay Later (BNPL) option. Dave is focused on serving Americans who are financially vulnerable or living paycheck to paycheck. Dave is leading the charge in creating a new era of credit products that prioritizes speed, affordability, and accessibility, making it the go-to financial partner for those who need it most. THE OPPORTUNITY Dave is looking for a talented Senior Backend Engineer to continue building the foundation that empowers the engineers to build products that help millions of people improve their relationship with money. If you're excited to join a tight-knit collaborative team with a mission of helping others, we'd love to hear from you! The squad is a critical part to the servicing of DAVE’s customers by facilitating the Dave Bank account and Dave debit Card management, Bank and Card based transaction processing, reconciliation & ledgering. We manage integrations with multiple processors, banking service providers, sponsor banks and multiple product verticals. In addition, the team owns the backend systems for the on-boarding, validation and managing of Debit Card based payment methods. We’re looking for someone who thrives on solving hard problems, is passionate about finding innovative solutions not just for today but allowing for growth of the future, delights customers, and inspires colleagues. WHAT YOU’LL BUILD AND OWN - Architect and implement software solutions that are scalable, performant and secure. - Design the future state of our large-scale backend distributed platforms with an understanding of our product and engineering goals, a deep understanding of our existing systems, and payment processing regulations like PCI compliance and 3DS to inform the right technical and product tradeoffs. - Write clean, efficient, and maintainable code following best practices and coding standards - Use code reviews as an opportunity to coach and ensure best practices/standards. - Provide technical leadership and assist guiding the team's overall technical direction - Work closely with product managers, designers, and other engineers to understand business requirements and translate them into technical specifications - Debug and troubleshoot production issues and provide timely solutions - Proactively eliminate potential for customer-impacting outages in the systems so users are able to move money in a secure manner seamlessly. - Utilizes the various offerings of Cloud Platforms to build robust, efficient, and resilient distributed systems. - Designs and implements efficient data storage in our SQL and NoSQL databases to power the Dave platform. - Continuously enhance and refactor the codebase to improve maintainability, scalability and extensibility - Monitor and analyze system performance, diagnose issues, and proactively identify opportunities for optimization. Implement logging and application performance monitoring mechanisms to gather relevant metrics and ensure comprehensive observability - Stay abreast of industry trends, new technologies, and best practices - Share knowledge with the team and contribute to the continuous improvement of development processes and methodologies. THE IMPACT Your work will power critical financial flows that help millions of Dave members manage and repay advances. Reliable systems here directly influence member trust, product performance, and Dave’s ability to scale responsibly. WHAT WE’RE LOOKING FOR EXPERIENCE AND TECHNICAL FOUNDATION - Bachelor’s degree (or above) in Computer Science or related discipline. Other majors will be considered in conjunction with appropriate related experience and/or training. - 4+ Years of Software Engineering Experience with a focus on Backend feature development - Solid understanding of software engineering principles, design patterns, and algorithms - Experience with RESTful API design and development - Demonstrated ability to analyze complex problems, propose solutions, and implement them effectively. - Proven track record of collaborating effectively with cross-functional teams, demonstrating excellent communication and interpersonal skills. - Ability to work independently and as part of a team in a fast-paced, agile development environment. - Passionate about learning and staying updated on emerging technologies, industry trends, and best practices - Strong desire for self-improvement and professional growth. BONUS EXPERIENCE - Familiarity with data-driven systems or machine learning integrations - Experience working with high-scale backend platforms WHAT MAKES SOMEONE SUCCESSFUL HERE You take responsibility for outcomes, not just tasks. You care about building systems that hold up over time and look beyond the immediate ticket to understand how your work affects the broader product, member experience, and platform reliability. You make thoughtful trade-offs between speed and durability and ask questions that help clarify the best path forward. You also work well across teams. Many of the systems you’ll touch connect with payments, banking infrastructure, and data platforms. Success in this role comes from collaborating closely with product managers, data scientists, and other engineers, sharing ideas openly, and using feedback to improve both systems and how the team works together. WHAT TO EXPECT At Dave, engineers have real ownership of the systems they build. Priorities evolve as we learn from member behavior and product data, and engineers help shape solutions as much as they implement them. The environment is collaborative, pragmatic, and focused on building systems that scale responsibly. WHY JOIN DAVE - Build financial technology that helps people living paycheck to paycheck - Work on systems that directly impact millions of members - Collaborate with thoughtful engineers, product leaders, and data teams - Contribute to a growing, profitable public fintech company Ready to build for the underdog? Don’t let imposter syndrome get in the way of an incredible opportunity. We’re looking for people who can help us achieve our mission and vision, not just check off the boxes. If you’re excited about this role, we encourage you to apply. You may just be the right candidate for this or other roles. Why you’ll love working here: At Dave, our people are just as important as our product. Our culture reflects the values that guide who we are, how we work, and what we aspire to be. Daves are member-centric, helpful, transparent, persistent, and better together. We strive to create an environment where all Daves feel valued, heard, and empowered to do their best work. As a virtual-first company, team members can live and work anywhere in the United States, except Hawaii. A few of our benefits & perks: \uD83D\uDC9A Opportunity to tackle tough challenges, learn and grow from fellow top talent, and help millions of people reach their personal financial goals \uD83D\uDCBB Flexible hours and virtual-first work culture with a home office stipend \uD83C\uDFE5 Premium Medical, Dental, and Vision Insurance plans \uD83D\uDC76 Generous paid parental and caregiver leave \uD83D\uDCB0 401(k) savings plan with matching contributions \uD83D\uDCC8 Financial advisor and financial wellness support \uD83C\uDFD6️ Flexible PTO and generous company holidays, including Juneteenth and Winter Break \uD83C\uDF89 All-company in-person events once or twice a year and virtual events throughout to connect with your team members and leadership team Dave Operating LLC is proud to be an Equal Employment Opportunity employer and is dedicated to cultivating a diverse and inclusive workplace. We will consider for employment all qualified applicants and do not discriminate on any basis protected by federal, state, or local law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant's criminal history. #LI-REMOTE", "summaryDescription" : "Senior Software Engineer, Backend at Dave. Skills: Backend development, Distributed systems. Architect software solutions. Implement software solutions", "createdAt" : "2026-06-16T00:28:59.865", "lastUpdated" : "2026-06-16T08:41:46.517", "ingestTimestamp" : "2026-06-16T00:28:59.865", "mongoId" : "6a306e66f292fd229cfded52", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 150000, "salaryAnnualMax" : 187000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Payment processing", "Backend development", "Distributed systems", "System design", "Technical leadership", "Payment processing regulations", "PCI compliance", "3DS", "Financial services", "Credit products" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c747874d8ee00a0934d2d", "title" : "Engineering Intern", "industry" : "Overview Taiwan", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Engineering Intern in Taipei, Taiwan, adjusted for the technology industry and internship employment type." }, "location" : "Taipei", "locations" : [ "Taipei" ], "timestamp" : "2026-06-15T05:08:48.661", "fingerprint" : "c0a4ebb7d5ecabfd80907a0e64a314380a59f92a058ff43bf39aca9425106b89", "source" : "ashby", "language" : "zh", "applyUrl" : "https://jobs.ashbyhq.com/overview/d0f32974-e8fd-4c77-bea8-e6c49dc25a9d/application", "externalId" : "d0f32974-e8fd-4c77-bea8-e6c49dc25a9d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Taipei", "country" : "Taiwan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "25.0375198,121.5636796" } ], "locationText" : "Taipei, Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Python, C, C++, JavaScript, Firmware, Embedded OS", "professionalSkills" : [ "Test automation", "Hardware integration", "Software integration" ], "hardSkillsList" : [ "Command-line tools", "Scripting" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Command-line tools", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Hardware testing, Software testing, AI integration", "majorSkillsList" : [ "Hardware testing", "Software testing", "AI integration" ], "coreResponsibilities" : "Prepare new camera hardware, Inspect physical connections, Connect hardware to test bench, Install firmware and embedded OS, Use command-line tools, Use custom scripts, Execute automated QA tests, Verify device stability, Verify image streaming, Verify core peripheral performance, Record test results, Log software bugs, Repackage devices, Maintain regression test racks, Organize network cables, Organize serial signal cables", "teamCollaboration" : "Senior engineers", "domainKnowledge" : "Industrial AI cameras; Edge computing", "domainList" : [ "industrial-ai-cameras", "edge-computing" ], "domainSpecificKnowledge" : [ "Industrial AI cameras", "Edge computing" ], "toolProficiency" : [ "Jira", "Confluence" ], "documentationSkills" : "Technical guides", "continuousLearning" : "Mentorship", "outcomesObjectives" : "Achieve zero downtime", "qualificationsBasic" : "Currently pursuing or hold CS/EE/Robotics degree, Hands-on project experience, Programming skills in Python, C, C++, or JavaScript", "qualificationsPreferred" : "Basic networking protocols and concepts", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "職位描述 (Job Description) 我們打造應用於中國與美國各地工廠的工業級邊緣運算 AI 相機 (industrial AI cameras)。對我們而言，產品的「可靠性」就是一切——當我們的相機停機時，工廠的生產線就會被迫停擺。我們的產品研發中心位於台北，總部設於舊金山，並在中國與美國皆設有大型的應用與客戶工程團隊。職位角色 (The Role) 我們正在招募一名 (工程實習生) 實習生 (Engineering Intern)，以協助我們台北研發中心的團隊。這是一個專注於測試與驗證硬體、軟體以及 AI 整合的實作技術崗位。你將負責搭建測試台、執行自動化測試套件，並追蹤邊緣案例的錯誤 (edge-case bugs)，以確保我們的邊緣相機達到零停機時間。你將直接與資深工程師協作，以精準且高效的速度維持穩定、可靠的硬體管線。工作內容 (What You’ll Do) - 硬體準備 (Hardware Prep)：拆封全新的相機硬體、檢查實體連接線路，並將其連接至測試台以進行自動化建置。 - 軟體安裝 (Software Installation)：將裝置連接至測試用電腦，並依照技術指南使用命令列工具 (command-line tools) 或自訂腳本燒錄最新的韌體 (firmware) 與嵌入式作業系統。 - 最終測試 (Final Testing)：執行自動化 QA 測試套件（使用 Python 或 C 語言），以驗證裝置穩定性、影像串流品質以及核心週邊硬體的效能。 - 資料整理 (Organization)：在 Confluence 或 Jira 等工具中記錄測試通過/失敗的結果、標記軟體錯誤 (bugs)，並在驗證完成後將裝置整潔地重新打包。 - 實驗室維護 (Lab Support)：維護迴歸測試機架 (regression testing racks)、整理網路線與序列訊號線，並確保所有除錯工具皆已貼上標籤且妥善存放。必要條件 (Must-Haves) - 教育背景 (Education)：目前就讀或已取得資訊工程 (CS)、電機/電子工程 (EE)、機器人工程或相關技術領域的學位。 - 專案經驗 (Project Background)：具備實作專案經驗（包含課堂內與課外的個人獨立專案或 side projects）。 - 核心特質 (Core Trait)：展現出聰明、樂於接受指導、具備高度適應力，且能在團隊協作環境中蓬勃發展。 - 程式技能 (Programming Skills)：熟悉至少一種程式語言（Python、C、C++ 或 JavaScript）。加分條件 (Nice-to-Haves) - 網路基礎知識 (Networking Basics)：熟悉基本網路協定與概念（如 IP 設定、路由器或數據傳輸）。為什麼加入我們 (Why Join) - 親手建置直接影響真實世界製造業生產線的核心自動化系統。 - 享有高度的專案所有權與自主權，並獲得資深嵌入式工程師的直接導師制 (mentorship) 指導。 - 與涵蓋硬體、AI 以及客戶工程領域的世界級團隊緊密協作。 - 加入一家快速成長、節奏高效且已實現盈利的初創企業 (startup)。", "summaryDescription" : "Engineering Intern. 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L.", "industry" : "Administrative Support, Tech Ops Engineering, no business category", "salary" : { "min" : 18000.0, "max" : 24000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the technology industry in Zaragoza, Spain, adjusted for company size and seniority." }, "location" : "Zaragoza, Aragon, ESP", "locations" : [ "Zaragoza, Aragon, ESP" ], "timestamp" : "2026-06-15T06:32:29.997", "fingerprint" : "cb0d17a725060e0b1c91b9039943f45ece3e759fff4fe69458036c876463fb22", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3099973/apply", "externalId" : "c0542c47-23cd-4cdf-97f4-2b9c2d44c389", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Zaragoza", "state" : "Aragon", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.6915847,-0.9101268" } ], "locationText" : "Zaragoza, Aragon, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Power Distribution, UPS system, HVAC, PUE, Fire Suppression, Generator, VFDs, Building automation systems", "professionalSkills" : [ "Risk management", "Vendor management", "Metrics reporting" ], "hardSkillsList" : [ "Mechanical maintenance", "Electrical maintenance", "Root cause analysis", "Troubleshooting facility events", "Troubleshooting rack-level events" ], "hardSkills" : [ { "name" : "Mechanical maintenance", "level" : "intermediate" }, { "name" : "Electrical maintenance", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Troubleshooting facility events", "level" : "intermediate" }, { "name" : "Troubleshooting rack-level events", "level" : "intermediate" } ], "majorSkills" : "Data Center Operations, Critical facility infrastructure, Mechanical equipment, Electrical equipment", "majorSkillsList" : [ "Data Center Operations", "Critical facility infrastructure", "Mechanical equipment", "Electrical equipment" ], "coreResponsibilities" : "Maintain mechanical equipment, Maintain electrical equipment, Assist root cause analysis, Assist troubleshooting facility events, Assist troubleshooting rack-level events, Take daily operational readings, Utilize CMMS, Manage building workflows, Interact with third party vendors, Interact with contractors, Power up newly deployed racks, Ensure safety procedures adhered, Plan maintenance works, Write procedures, Review procedures", "teamCollaboration" : "Work in a team environment", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Power redundancy; Cooling; Hot aisle; Cold aisle; Stand-by diesel generators; Switchgear; UPS; PDUs; AHUs; Chillers; Cooling towers; Chemical treatment systems; Pumps; Motors", "domainList" : [ "power-redundancy", "cooling", "hot-aisle", "cold-aisle", "stand-by-diesel-generators", "switchgear", "ups", "pdus", "ahus", "chillers", "cooling-towers", "chemical-treatment-systems", "pumps", "motors" ], "domainSpecificKnowledge" : [ "Power redundancy", "Cooling", "Hot aisle", "Cold aisle", "Stand-by diesel generators", "Switchgear", "UPS", "PDUs", "AHUs", "Chillers", "Cooling towers", "Chemical treatment systems", "Pumps", "Motors" ], "toolProficiency" : [ "CMMS" ], "documentationSkills" : "Write procedures; Review procedures", "continuousLearning" : "Mentorship", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "specialRequirements" : "No public transportation, Internship agreement from university, Day, evening, or weekend shifts, On-call rotations", "outcomesObjectives" : "Maintain critical facility infrastructure; Ensure operational performance standards", "qualificationsBasic" : "Bachelor's Degree in relevant field, Certification from Technical/Trade school program, English language Level B2, Access to own transport", "qualificationsPreferred" : "Experience in program management, Experience in project management, Knowledge of mechanical systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Amazon Web Services (AWS), we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is continually evolving and is a place where motivated employees thrive and also where employee ownership and accountability lead to meaningful results. Are you ready to embrace the challenge? Come build the future with us. Data Center Engineering Operations Intern The Data Center Engineering Operations (DCEO) Team is the backbone of AWS, supporting the rapid growth of AWS business and customers 24x7. We commit to maintain the physical critical facility infrastructure of AWS and ensure the standards for operational performance in the areas of safety, security, availability, productivity, capacity, efficiency and cost. Interns will work in an Amazon Data Center and will provide technical support, including risk management and mitigation, corrective and preventative maintenance of critical facility infrastructure, vendor management and metrics reporting. This role is due to start in May 2026 and you MUST have access to your own transport as there is no public transportation to our Data Centers at Zaragoza. Duties include: · Maintain mechanical and electrical equipment · Assist root cause analysis of equipment failures · Assist in troubleshooting of facility and rack-level events within internal SLA · Take daily operational readings of all mechanical and electrical equipment · Utilize internal CMMS to manage building workflows · Interact with third party vendors & contractors who are working on site Amazon internships are full-time (40 hours/week) for 12 consecutive weeks. Candidates must be able to provide an internship agreement from their university. Intern schedules are typically day schedules, Monday-Friday. A full time position could involve day, evening, or weekend shifts and on-call rotations. Amazon does not sponsor for immigration, including for H-1B, TN, and other non-immigrant visas, for this role. Note: Applications are reviewed on a rolling basis. For an update on your status, or to confirm your application was submitted successfully, please login to your candidate portal. Please note that we are reviewing a high volume of applications and appreciate your patience. Mentorship & Career Growth Our team is dedicated to supporting new team members in an environment that celebrates knowledge sharing and mentorship. Projects and tasks are assigned in a way that leverages your strengths and helps you further develop your skillset. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences. Work/Life Harmony Our team puts a high value on work-life harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility and encourage you to find your own balance between your work and personal lives. EMEA Student Programs Team Key job responsibilities Core technical knowledge that you will need: Power Distribution & Main / backup powerflow • Power redundancy • Basic UPS system knowledge HVAC / Cooling • Cooling • hot / cold aisle • PUE Fire Suppression Generator A few daily tasks; · Maintain mechanical and electrical equipment · Assist root cause analysis of equipment failures · Assist in troubleshooting of facility and rack-level events within internal SLA · Power up newly deployed racks · Ensure all safety procedures are adhered to while performing work · Take daily operational readings of all mechanical and electrical equipment · Take daily operational readings of all mechanical and electrical equipment · Plan maintenance works and Write / review procedures A day in the life https://www.youtube.com/watch?v=LTgCHTdRed0 About the team The Engineering Operations team is Amazon’s front-line responders for hands-on electrical and mechanical equipment troubleshooting and operations. You will work with equipment that supports mission-critical servers and must maintain better than 99.999% uptime. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPS’s, PDU’s, AHU’s, chillers, cooling towers, chemical treatment systems, pumps, motors, VFD’s, and building automation systems. Basic Qualifications: - In pursuit of or obtained Bachelor’s Degree within a relevant field such as mechanical/electrical engineering OR - In pursuit of or obtained certification from a Technical/Trade school program (HVAC, electrician, facilities maintenance, or similar) - English language Level B2 - Ability to work well with others in a team environment, displaying strong time management skills - Must have access to own transport Preferred Qualifications: - Experience in program or project management - Knowledge of mechanical systems (Mechanical, HVAC systems, Controls) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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" : "2026 Engineering Operations Intern, Data Center Engineering Operations at Amazon Data Services Spain, S. L.. Skills: Data Center Operations, Critical facility infrastructure, Mechanical equipment, Electrical equipment. Maintain mechanical equipment. Maintain electrical equipment", "postedDate" : "2026-06-13T16:48:08.223", "createdAt" : "2026-06-13T16:48:08.223", "lastUpdated" : "2026-06-15T06:32:29.997", "ingestTimestamp" : "2026-06-13T16:48:08.223", "mongoId" : "68e0a7e3ce260f92cbf8eb45", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3099973/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Mechanical maintenance", "Electrical maintenance", "Root cause analysis", "Troubleshooting facility events", "Troubleshooting rack-level events", "Data Center Operations", "Critical facility infrastructure", "Mechanical equipment", "Electrical equipment", "Risk management", "Vendor management", "Metrics reporting", "Program management", "Project management", "Power redundancy", "Cooling", "Hot aisle", "Cold aisle", "Stand-by diesel generators", "Switchgear", "UPS", "PDUs", "AHUs", "Chillers", "Cooling towers", "Chemical treatment systems", "Pumps", "Motors", "CMMS" ], "skillCount" : 29, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c8c8174d8ee00a0975acd", "title" : "Software Engineer (Backend)", "company" : "WHOOP", "industry" : "Software", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "timestamp" : "2026-06-15T21:40:21.907", "fingerprint" : "c39fc7064cc7040a86f2da77dd1ab6dc28b11fee671a60fcdb5ab016a31efb7f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/0623a9e9-d7bb-4ee5-8100-51c68df81133/application", "externalId" : "0623a9e9-d7bb-4ee5-8100-51c68df81133", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "rawDescription" : "At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology monitors vital physiological metrics to provide personalized insights that improve fitness, health, and recovery. As a Software Engineer I, you will contribute to the design, development, and maintenance of the services that power WHOOP’s core product experiences. You will work closely with experienced engineers, product managers, designers, and data scientists to build scalable, reliable systems that deliver meaningful insights to our members. This is a growth-oriented role ideal for engineers who are excited to learn, ship high-quality code, and make an impact in a fast-paced, mission-driven environment. This posting is for an immediate new hire to our team. For those graduating in the fall of 2026 seeking entry level roles, we kindly ask that you check out this New Grad Opportunities https://jobs.lever.co/whoop/ae991d44-dc91-4b40-9ef9-28977fbd1f76 job posting instead to be considered for roles opening at that time. Thank you. RESPONSIBILITIES: - - Contribute to the development and maintenance of backend services and APIs that power WHOOP’s member-facing features using technologies such as Java, Kafka, Postgres, and AWS. - Collaborate with cross-functional partners across Product, Design, Data Science, and Engineering to translate requirements into well-scoped technical solutions. - Write clean, maintainable, and well-tested code while participating in code reviews to continuously improve engineering quality and standards. - Support the operation and monitoring of production systems, helping to troubleshoot issues and ensure reliability, scalability, and performance. - Break down feature requirements into actionable tasks, identify risks early, and iterate quickly to deliver value to members. - Contribute to technical documentation and knowledge sharing to support team velocity and long-term maintainability. QUALIFICATIONS: - - Professional experience in backend software development (internship, co-op, or academic project experience acceptable). - Experience building or interacting with RESTful APIs and relational databases (e.g., Postgres or similar SQL-based systems). - Proficiency in an object-oriented programming language such as Java, or demonstrated ability to quickly learn new backend technologies. - Familiarity with version control systems such as Git and standard development workflows. - Understanding of fundamental computer science concepts including data structures, algorithms, and system design basics. - Interest in distributed systems, event-driven architectures (e.g., Kafka or similar technologies), and cloud platforms such as AWS. - Strong problem-solving skills and a growth mindset, with a willingness to seek feedback and continuously improve. - Effective communication skills and the ability to collaborate within a cross-functional team environment. Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $105,000 - 145,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. 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