{ "count" : 140455, "data" : [ { "id" : "6a2c68bb74d8ee00a09047b1", "title" : "Software Engineer, Autonomous Vehicles", "company" : "Helm.ai", "industry" : "AV", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Software Engineers in the US Technology industry, adjusted for company size and remote work." }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "timestamp" : "2026-06-15T04:58:43.475", "fingerprint" : "54fb9d0a4601e46d0489fdc461b520cae4f14386fa27c6e17235daccc0916ce2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/helm-ai/0b3ebe5a-3cbb-419f-b5d3-4c986b344338/application", "externalId" : "0b3ebe5a-3cbb-419f-b5d3-4c986b344338", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, AI, ML, Neural networks, Unsupervised learning, High-performance computing, Real-time systems", "professionalSkills" : [ "Algorithm analysis", "System design", "Software engineering" ], "hardSkillsList" : [ "Real-time software development", "Algorithm optimization", "ML model deployment", "Data pipeline management", "Model versioning" ], "hardSkills" : [ { "name" : "Real-time software development", "level" : "intermediate" }, { "name" : "Algorithm optimization", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Data pipeline management", "level" : "intermediate" }, { "name" : "Model versioning", "level" : "intermediate" } ], "majorSkills" : "Backend systems, Software engineering, AI/ML", "majorSkillsList" : [ "Backend systems", "Software engineering", "AI/ML" ], "coreResponsibilities" : "Design vehicle software systems, Implement vehicle software systems, Test vehicle software systems, Collaborate with vendors, Partner with AI teams, Work with customers, Advance autonomous driving capabilities, Design real-time software, Develop real-time software, Deliver real-time software, Conduct algorithm analysis, Optimize algorithms, Iterate algorithms, Architect continuous learning system, Deploy ML models, Monitor ML model performance, Prioritize ML improvements, Collaborate with platform teams, Collaborate with embedded teams, Collaborate with AI teams, Ensure cohesive development, Ensure validation, Ensure integration, Stay abreast of industry trends, Stay abreast of emerging tools", "teamCollaboration" : "AI teams; Platform teams; Embedded teams", "domainKnowledge" : "Autonomous driving; Robotics; Deep Teaching methodology; Unsupervised learning; L2/L3 autonomy; Mass production; AV stack; High-performance computing; Real-time systems; AI-driven mobility; Software/hardware integration; Robotics middleware; ML model deployment; Safety-critical systems; Real-world testing protocols", "domainList" : [ "autonomous-driving", "robotics", "deep-teaching-methodology", "unsupervised-learning", "l2-l3-autonomy", "mass-production", "av-stack", "high-performance-computing", "real-time-systems", "ai-driven-mobility", "software-hardware-integration", "robotics-middleware", "ml-model-deployment", "safety-critical-systems", "real-world-testing-protocols" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Robotics", "Deep Teaching methodology", "Unsupervised learning", "L2/L3 autonomy", "Mass production", "AV stack", "High-performance computing", "Real-time systems", "AI-driven mobility", "Software/hardware integration", "Robotics middleware", "ML model deployment", "Safety-critical systems", "Real-world testing protocols" ], "toolProficiency" : [ "ROS2", "CARLA" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Stay abreast of industry trends; Stay abreast of emerging tools", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Safer roads; Economically viable AI deployment", "qualificationsBasic" : "Bachelor's or Master's degree, Lead projects, Mentor team members, Work autonomously, Backend programming foundation, C++ programming, Python programming, Design performant software systems, Develop performant software systems, Deploy performant software systems, Design real-time software systems, Develop real-time software systems, Deploy real-time software systems, Data structures command, Algorithms command, Software architecture command, Design patterns command", "qualificationsPreferred" : "Ph. D. preferred, Experience in autonomous vehicle development, Software/hardware integration expertise, ROS2 experience, Robotics middleware experience, ML model deployment experience, ML model monitoring experience, Data pipeline management experience, Model versioning experience, Simulation tools experience, CARLA experience, Real-world testing protocols experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We help make autonomous technologies more efficient, safer, and accessible. Helm.ai http://Helm.ai builds AI software for autonomous driving and robotics. Our \"Deep Teaching\" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks for L2/L3 autonomy, which drastically reduces the need for human annotation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers https://helm.ai/post/helm-ai-and-honda-motor-co-agree-to-multi-year-adas-joint-development-for-mass-production-consumer-vehicles towards mass production and we've raised over $100M from Honda, Mando, and others to help us scale. We are looking for versatile engineers to shape core components of the next generation of the Helm.ai http://Helm.ai autonomous stack. No prior experience in autonomous vehicles is required—we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai http://Helm.ai’s AI teams, and work with customers to advance highway and urban autonomous driving capabilities. You will: - Design, develop, and deliver safe, scalable, and robust real-time software for mass production grade autonomous vehicle systems directly contributing to safer roads and economically viable AI deployment. - Conduct in-depth algorithm analysis, optimization, and iteration to enhance efficiency and accuracy across the AV stack. - Architect scalable continuous learning system for deploying new ML models, monitoring their performance, and prioritizing improvements. - Collaborate with platform, embedded, and AI teams to ensure cohesive development, validation, and integration of ML based perception, prediction, and planning. - Stay abreast of industry trends and emerging tools in high-performance computing, real-time systems, and AI-driven mobility. You have: - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics; Ph.D. preferred. - Demonstrated ability to lead projects, mentor team members, and work autonomously in high-stakes fast-paced environments. - Strong foundation in backend programming (C++, Python) and proven track record in designing, developing, and deploying performant and/or real-time software systems, e.g. aerospace, online ads, robotics, gaming, high-frequency trading. - Strong command of data structures, algorithms, software architecture, and design patterns. - Excellent problem-solving, communication, and collaboration skills, with a passion for innovation. The following are not required but a plus: - Experience in autonomous vehicle development, with expertise in software/hardware integration. Experience with ROS2 or other robotics middleware. - Experience with ML model deployment and monitoring in production environments, including data pipeline management and model versioning for safety-critical systems. - Expertise in simulation tools (e.g., CARLA) and real-world testing protocols for autonomous vehicles. We offer: - Competitive health insurance options - 401K plan management - Remote-friendly and flexible team culture - Free lunch and fully-stocked kitchen in our South Bay office - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale - The opportunity to work on one of the most interesting, impactful problems of the decade Helm.ai http://Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://Helm.ai are considered the property of Helm.ai http://Helm.ai and are not subject to payment of agency fees.", "summaryDescription" : "Software Engineer, Autonomous Vehicles at Helm.ai. Skills: Backend systems, Software engineering, AI/ML. Design vehicle software systems. 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Automation strategic partners; Deployment teams", "projectManagementSkills" : [ "Scoping", "Design", "Implementation", "Testing", "Delivery" ], "domainKnowledge" : "Industrial automation; Edge computing; Robotics; Mechatronics; Supply chain optimization; Real-time data processing; Low-level software", "domainList" : [ "industrial-automation", "edge-computing", "robotics", "mechatronics", "supply-chain-optimization", "real-time-data-processing", "low-level-software" ], "domainSpecificKnowledge" : [ "Industrial automation", "Edge computing", "Robotics", "Mechatronics", "Supply chain optimization", "Real-time data processing", "Low-level software" ], "toolProficiency" : [ "AWS" ], "innovationCreativity" : "Next generation software; Custom robotics; Edge-based solutions", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Up to 25% travel, Eligible for international travel", "qualificationsBasic" : "5+ years non-internship professional software development, 5+ years programming experience, 5+ years leading design or architecture, Experience as mentor, tech lead, or engineering team lead, Bachelor's degree", "qualificationsPreferred" : "5+ years full software development life cycle, Master's degree in computer science, Experience solving problems utilizing Amazon Web Services, Experience building robotic or industrial automation products", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is building the next generation software, hardware, and processes to run our state-of-the-art global fulfillment network that moves many millions of units of inventory, ensuring that customers get what they want when promised. We are constantly innovating in the ways we are automating and accelerating the delivery of packages which includes custom robotics, mechatronics, conveyance, supply chain optimization, machine learning, manipulation, image processing, and real-time data processing using distributed systems. We are looking for a software development engineer with a passion to transform the way we integrate robotics within our global network of advanced warehouses. This position is a unique opportunity to be involved in a wide range of automation projects right from the start. You will collaborate with multiple internal Amazon R&D and design teams as well as automation strategic partners who have the technology and resources to meet Amazon’s growth needs on a global scale. This role is in a newly established team which will create edge compute solutions for industrial automation applications. It is an early-stage initiative with a fast paced, highly collaborative start-up like environment inside Amazon. To be successful you need to be flexible and entrepreneurial. You are a true owner - you are hands on and you set examples to be emulated. You will be responsible for all the aspects of the software development cycle including scoping, design, implementation, testing, and delivery of your product. This is a unique opportunity to define edge-based solutions where the cloud meets the real world in the heart of our fulfillment centers. The ideal candidate will enjoy working at multiple layers of the stack from the low-level machine controls layer up through embedded Linux applications and cloud-based solutions to interface with and manage fleets of real-world devices. Key job responsibilities * Integrate with a diverse array of internally and externally developed hardware and software services * Implement continuous integration and continuous deployment (CI/CD) pipelines * Validate solutions via software-in-the-loop simulation * Work closely with deployment teams to implement end-to-end solutions in the field * Develop infrastructure to support development, operations, and maintenance of low level software for warehouse automation systems * Ability to travel up to 25% and eligible for international travel Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Bachelor's degree Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Experience solving problems utilizing Amazon Web Services. Experience in building robotic or industrial automation related products 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 $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Software Development Engineer, Robotic Integration and Optimization at Amazon.com Services LLC. Skills: Robotic integration, Software development, Automation. Integrate with hardware and software services. Implement CI/CD pipelines", "postedDate" : "2026-06-13T10:37:12.089", "createdAt" : "2026-06-13T10:37:12.089", "lastUpdated" : "2026-06-15T08:34:37.459", "ingestTimestamp" : "2026-06-13T10:37:12.089", "mongoId" : "68b706987fc9a711f0f6fa4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3052119/apply", "salaryAnnualMin" : 151300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Software development", "System design", "Architecture design", "CI/CD implementation", "Simulation validation", "Ownership", "Mentoring", "Robotic integration", "Automation", "Optimization services", "Automation projects", "Edge compute solutions", "Industrial automation", "Software development cycle", "Low-level machine controls", "Scoping", "Design", "Implementation", "Testing", "Delivery", "Edge computing", "Robotics", "Mechatronics", "Supply chain optimization", "Real-time data processing", "Low-level software", "AWS" ], "skillCount" : 27, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a25145a74d8ee00a00bb51f", "title" : "Software Development Engineer, Shipment Optimization", "company" : "Amazon Dev Center India", "industry" : "Software Development, operations", "salary" : { "min" : 1850000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Software Development Engineer, Shipment Optimization in Hyderabad, India, adjusted for mid-seniority, full-time employment at a large tech company in the logistics industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-16T05:26:16.993", "fingerprint" : "658f48fbb297cf3d70f845cf05c21644d8db79f66b7b110ce663ffe82aff7bc0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441133/apply", "externalId" : "e8908997-0101-402c-9685-9512035620aa", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "technicalSkills" : "Java, Kotlin, Object-oriented patterns, NoSQL databases, AWS, Big Data, AI technologies", "professionalSkills" : [ "System design", "Architecture design", "Data storage optimization", "Big Data analytics", "Impact analysis", "Root cause analysis", "Object-oriented design" ], "hardSkillsList" : [ "Distributed systems", "Scalable services", "Millisecond latency", "High availability", "Scalability", "Autonomous operations", "Automated validation", "Quality assurance", "System reliability", "System performance" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Scalable services", "level" : "intermediate" }, { "name" : "Millisecond latency", "level" : "intermediate" }, { "name" : "High availability", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Autonomous operations", "level" : "intermediate" }, { "name" : "Automated validation", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "System reliability", "level" : "intermediate" }, { "name" : "System performance", "level" : "intermediate" } ], "majorSkills" : "Shipment Optimization, Distributed systems, AI-driven automation", "majorSkillsList" : [ "Shipment Optimization", "Distributed systems", "AI-driven automation" ], "coreResponsibilities" : "Design real-time systems, Develop real-time systems, Lead technical design, Lead implementation, Develop autonomous operations, Create impact analysis solutions, Create monitoring solutions, Work with senior leaders, Work with researchers, Work with data engineers, Design supply chain solutions, Implement supply chain solutions, Gather business requirements, Analyze business requirements, Translate requirements to specifications, Maintain technical documentation, Recommend development standards, Recommend system standards, Participate in on-call rotation, Operate in agile environment, Prioritize high-impact work", "teamCollaboration" : "Cross-functional teams; Multiple teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Logistics network; Transportation network; Supply chain optimization; Service Oriented Architecture; Microservices; Relational databases; Non-relational databases; Cloud-based distributed services; High-transaction volume systems", "domainList" : [ "logistics-network", "transportation-network", "supply-chain-optimization", "service-oriented-architecture", "microservices", "relational-databases", "non-relational-databases", "cloud-based-distributed-services", "high-transaction-volume-systems" ], "domainSpecificKnowledge" : [ "Logistics network", "Transportation network", "Supply chain optimization", "Service Oriented Architecture", "Microservices", "Relational databases", "Non-relational databases", "Cloud-based distributed services", "High-transaction volume systems" ], "communicationSkills" : "Communicate technical concepts", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Drive innovation; Pioneer systems", "problemSolvingSkills" : "Break down complex problems; Troubleshooting", "specialRequirements" : "On-call rotation", "outcomesObjectives" : "Optimize package delivery; Set new standards; Drive innovation; Ensure system reliability; Ensure system performance", "qualificationsBasic" : "3+ years software development experience, 2+ years design or architecture experience, Experience programming at least one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Have you ever ordered a product on Amazon and wondered how it got to you so fast? Did you ever think about where this package came from and how much it cost to deliver? Join us in revolutionizing Amazon's transportation network as we build real-time, intelligent, and fully automated systems that optimize package delivery across the world's most complex logistics network. As Amazon expands globally, your work will directly impact millions of customers worldwide, set new standards for online shopping experience, and drive innovation in the transportation industry through intelligent automation and AI-driven solutions. In this role, you'll tackle complex problems involving design and implementation of highly scalable distributed systems, optimization of data storage systems, and Big Data analytics. You'll pioneer next-generation automation systems, developing intelligent solutions for automated code and network configuration generation, hands-free troubleshooting, and sophisticated impact analysis tools. Your work will involve building self-healing infrastructure and automated deep dive capabilities that quickly identify root causes across vast amounts of operational data. We're seeking an experienced software engineer with a proven track record in building highly-scalable, cloud-based distributed services with millisecond latency requirements. You should have deep expertise in Service Oriented Architecture, microservices, and both relational and non-relational databases. [Removed n-tiered architecture reference] Experience with implementing AI-driven automation and maintaining high-transaction volume systems is essential. You'll thrive in this role if you excel at breaking down complex problems into simple, elegant solutions, have strong object-oriented design expertise, and can effectively communicate technical concepts to diverse audiences. We value candidates who bring a proven track record of improving team coding culture and implementing best practices around quality and security. Key job responsibilities Your responsibilities will include: • Design and develop large-scale, highly distributed real-time systems that are core to managing Amazon's supply chain, focusing on high availability and scalability • Lead technical design and implementation using Java, Kotlin, object-oriented patterns, and NoSQL databases, while leveraging AWS solutions for PB-scale big data processing • Develop autonomous operations capabilities using latest AI technologies, including automated validation, quality assurance systems, and hands-free troubleshooting tools • Create sophisticated impact analysis and monitoring solutions that ensure system reliability and performance at scale • Work closely with senior leaders, researchers, and data engineers across multiple teams to design and implement supply chain optimization solutions • Gather and analyze business requirements, translate them into technical specifications, and serve as a key technical resource throughout the development cycle • Maintain comprehensive technical documentation and recommend improvements to development and system standards • Participate in on-call rotation as part of standard engineering responsibilities • Operate in an agile environment, prioritizing high-impact work while maintaining exceptional reliability standards About the team We are the Amazon Shipment Optimization organization. Our vision is to build a real-time, intelligent, and intuitive \"hands off the wheel\" fully automated system to model Amazon's complex transportation network. This network processes millions of requests per second to determine guaranteed delivery dates and optimal transportation paths, managing billions of attributes including warehouses, routes, time windows, and costs. Our Transportation Optimization systems make critical decisions that impact billions of dollars annually, setting new standards for online shopping experience. We're building automated transportation configuration management systems complete with automated diagnostics, made possible by advances in AI. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Software Development Engineer, Shipment Optimization at Amazon Dev Center India. Skills: Shipment Optimization, Distributed systems, AI-driven automation. Design real-time systems. Develop real-time systems", "postedDate" : "2026-06-14T19:51:31.444", "createdAt" : "2026-06-14T19:51:31.444", "lastUpdated" : "2026-06-16T05:26:16.993", "ingestTimestamp" : "2026-06-14T19:51:31.444", "mongoId" : "6a25145a74d8ee00a00bb51f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441133/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Scalable services", "Millisecond latency", "High availability", "Scalability", "Autonomous operations", "Automated validation", "Quality assurance", "System reliability", "System performance", "Shipment Optimization", "AI-driven automation", "System design", "Architecture design", "Data storage optimization", "Big Data analytics", "Impact analysis", "Root cause analysis", "Object-oriented design", "Agile", "Logistics network", "Transportation network", "Supply chain optimization", "Service Oriented Architecture", "Microservices", "Relational databases", "Non-relational databases", "Cloud-based distributed services", "High-transaction volume systems" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c93b174d8ee00a0988c28", "title" : "Member of Technical Staff — Model Optimization and Inference (New Grad)", "company" : "Nuance Labs", "industry" : "Technology", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle", "locations" : [ "Seattle" ], "timestamp" : "2026-06-15T21:28:57.333", "fingerprint" : "b3def937b295487a715d3e375c4737a63235b84620a7657547ffb5ba82322a7f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nuancelabs/jobs/4283935009", "externalId" : "4283935009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "Machine learning, Deep learning, Natural language processing, Computer vision, Large language models, Model optimization, Inference optimization, Python, C++, PyTorch, TensorFlow, ONNX, TensorRT, Model compression, Quantization, Pruning, Knowledge distillation, Distributed training, High-performance computing, GPU programming, CUDA, Cloud platforms, ML frameworks, Model deployment, Production environments", "professionalSkills" : [ "System design", "Algorithm design" ], "hardSkillsList" : [ "Model optimization", "Inference optimization", "Model compression", "Quantization", "Pruning", "Knowledge distillation" ], "hardSkills" : [ { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Inference optimization", "level" : "intermediate" }, { "name" : "Model compression", "level" : "intermediate" }, { "name" : "Quantization", "level" : "intermediate" }, { "name" : "Pruning", "level" : "intermediate" }, { "name" : "Knowledge distillation", "level" : "intermediate" } ], "majorSkills" : "Model Optimization, Inference Optimization, Machine Learning, Deep Learning", "majorSkillsList" : [ "Model Optimization", "Inference Optimization", "Machine Learning", "Deep Learning" ], "coreResponsibilities" : "Optimize machine learning models, Optimize deep learning models, Optimize natural language processing models, Optimize computer vision models, Optimize large language models, Optimize model inference, Develop novel optimization techniques, Implement model compression techniques, Implement quantization techniques, Implement pruning techniques, Implement knowledge distillation techniques, Collaborate with research scientists, Collaborate with engineering teams, Deploy optimized models, Evaluate model performance, Benchmark model performance, Document optimization processes, Stay current with research", "teamCollaboration" : "Research scientists; Engineering teams", "domainKnowledge" : "Machine learning; Deep learning; Natural language processing; Computer vision; Large language models; Model optimization; Inference optimization; Model compression; Quantization; Pruning; Knowledge distillation; High-performance computing; GPU programming", "domainList" : [ "machine-learning", "deep-learning", "natural-language-processing", "computer-vision", "large-language-models", "model-optimization", "inference-optimization", "model-compression", "quantization", "pruning", "knowledge-distillation", "high-performance-computing", "gpu-programming" ], "domainSpecificKnowledge" : [ "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Large language models", "Model optimization", "Inference optimization", "Model compression", "Quantization", "Pruning", "Knowledge distillation", "High-performance computing", "GPU programming" ], "toolProficiency" : [ "PyTorch", "TensorFlow", "ONNX", "TensorRT" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "continuousLearning" : "Stay current with research", "innovationCreativity" : "Develop novel optimization techniques", "problemSolvingSkills" : "Model optimization; Inference optimization; Model debugging", "outcomesObjectives" : "Improve model performance; Reduce inference latency; Reduce model size; Deploy optimized models", "qualificationsBasic" : "Bachelor's degree in Computer Science, Master's degree in Computer Science, PhD in Computer Science, Experience with machine learning, Experience with deep learning, Experience with natural language processing, Experience with computer vision, Experience with large language models, Experience with model optimization, Experience with inference optimization, Experience with Python, Experience with C++, Experience with PyTorch, Experience with TensorFlow, Experience with ONNX, Experience with TensorRT, Experience with model compression, Experience with quantization, Experience with pruning, Experience with knowledge distillation", "qualificationsPreferred" : "Experience with distributed training, Experience with high-performance computing, Experience with GPU programming, Experience with CUDA, Experience with cloud platforms, Experience with ML frameworks, Experience with model deployment, Experience with production environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Nuance Labs Nuance Labs is building photorealistic, real-time AI avatars with emotional intelligence: a full-duplex audiovisual system that can listen, speak, react, interrupt, and respond like a real person. We're a Series A company ($60M raised) backed by Lightspeed, Accel, South Park Commons, NVentures, and Define Ventures, with PhDs from MIT, UW, Oxford, CMU, and Johns Hopkins, and industry experience from Apple, Meta, Amazon AGI, and Discord. The team is small, the work is real, and the problems are unsolved. How Nuance Differentiates Most conversational AI avatars today are hacks — a face slapped on a speech-to-speech pipeline, stuck in the uncanny valley: emotionless, mechanical, one-turn-at-a-time. Current systems take 2–5 seconds to respond; natural conversation requires sub-500ms. That's a 10x improvement, and it demands rethinking the entire stack. That rethinking starts with full-duplex: an AI that listens and speaks simultaneously, perceives emotion in real time, and responds with a face that actually reflects it. It's an extremely hard problem, and we're developing foundation models designed for it from the ground up. About the Role We can train a great model. The next problem is making it fast enough to actually use in a real-time conversation — and that gap is enormous. A model that responds in 3 seconds is a demo. A model that responds in under 500ms is a product. We’re looking for someone who’s excited about taking trained models and squeezing every last millisecond out of them. You understand — or want to deeply understand — the full stack from model weights to serving infrastructure: quantization, KV cache optimization, kernel-level acceleration, batching strategies. You’ve worked with vLLM, SGLang, or similar frameworks (through coursework, research, internships, or open-source) and have opinions about where they fall short. This posting is aimed at early-career engineers finishing or recently finished with a BS, MS, or PhD. We don’t require a PhD — we care about systems intuition, engineering chops, and the appetite to go deep. Our stack is more complex than a standard LLM deployment: we’re serving a full-duplex multimodal system that must satisfy strict real-time latency constraints. There’s a lot of unsolved optimization work here, and we want someone who finds that genuinely exciting and is ready to grow fast alongside people who’ve built these systems before. What You’ll Do Contribute to end-to-end inference optimization across our model stack — LLMs, audio models, and diffusion-based components Implement and tune KV cache strategies for long-context conversations, including eviction policies, compression, and memory-efficient attention Work with inference serving frameworks (vLLM, SGLang, TensorRT-LLM, etc.) and extend them for our specific workloads Profile and benchmark end-to-end latency and throughput; identify and systematically eliminate bottlenecks Build internal tooling that makes optimization work faster and more rigorous — profiling viewers, end-to-end inference test harnesses, and other infrastructure that helps the team move quickly Accelerate diffusion model inference — consistency models, step distillation, caching strategies, and custom kernel optimizations Apply quantization techniques (INT8, INT4, GPTQ, AWQ, and beyond) to reduce memory footprint and increase throughput without meaningfully degrading quality Work closely with research and infrastructure to ensure new models ship with optimized serving from day one What We’re Looking For BS, MS, or PhD in CS, ML, or a related field — completed or in the final stretch Strong fundamentals in LLM inference or ML systems — KV caching, memory layout, attention kernels, batching, or serving — picked up through coursework, research, internships, or open-source. You don’t need to have shipped at production scale yet; you do need to learn fast and go deep. Exposure to inference serving frameworks (vLLM, SGLang, TensorRT-LLM, or similar) — even at a research or hobby level Strong Python and PyTorch skills; familiarity with CUDA or Triton is a significant plus A systematic approach to profiling and optimization — you measure first, then optimize Curiosity about diffusion inference, speculative decoding, quantization, or other inference-time acceleration techniques Bonus Points Internship or research experience with LLM inference, ML systems, or model serving Contributions to open-source inference frameworks (vLLM, SGLang, TensorRT-LLM, etc.) CUDA / Triton kernel work, even at a research or hobby scale Publications or research projects in MLSys, model compression, or inference optimization Familiarity with multimodal or streaming inference architectures Experience with hard latency SLAs in any real-time system Compensation $200,000 – $300,000 base salary, plus meaningful equity. We think long-term ownership matters and structure equity accordingly. Logistics Location: In-person in Seattle, five days a week — we believe in the compounding value of working shoulder-to-shoulder. Visa sponsorship: We sponsor visas (O-1, H-1B, green card) from day one. AI-native tooling: Do your best work with the best tools, including unlimited tokens. Benefits Health: HSA plan with ~$2,000 in annual company contributions — roughly 2x what most big tech companies put in. Time off: 15 days of PTO plus public holidays, and we close the office for a full week at year-end. Food: Lunch, drinks, and snacks on us every workday — the small thing that quietly makes the day better. Commuter benefits: We help cover the cost of getting to the office. 401(k): In the works. Nuance Labs is an equal opportunity employer. We believe diverse teams build better AI.", "summaryDescription" : "Member of Technical Staff — Model Optimization and Inference (New Grad) at Nuance Labs. Skills: Model Optimization, Inference Optimization, Machine Learning, Deep Learning. Optimize machine learning models. Optimize deep learning models", "postedDate" : "2026-06-14T19:04:54.447", "createdAt" : "2026-06-14T19:04:54.447", "lastUpdated" : "2026-06-15T21:28:57.333", "ingestTimestamp" : "2026-06-14T19:04:54.447", "mongoId" : "6a2c93b174d8ee00a0988c28", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Model optimization", "Inference optimization", "Model compression", "Quantization", "Pruning", "Knowledge distillation", "Model Optimization", "Inference Optimization", "Machine Learning", "Deep Learning", "System design", "Algorithm design", "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Large language models", "High-performance computing", "GPU programming", "PyTorch", "TensorFlow", "ONNX", "TensorRT" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176bb74d8ee00a0c1abde", "title" : "Senior Software Development Engineer, Internet Edge Services", "company" : "Amazon Support Services Pty Ltd", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Development Engineer in Sydney, Australia, adjusted for industry and company size." }, "location" : "Sydney, New South Wales, AUS", "locations" : [ "Sydney, New South Wales, AUS" ], "timestamp" : "2026-06-15T04:41:37.787", "fingerprint" : "b2e6263e7df24e724289f0d8fe13128a1d81fdf0849cb88a2a03cb8e83797ea8", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10439312/apply", "externalId" : "69a2ab48-136f-4e6d-80af-943f12b4f947", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS", "professionalSkills" : [ "System design", "Technical leadership", "Architecture decisions" ], "hardSkillsList" : [ "Software development", "Programming", "System design", "Architecture" ], "softSkillsList" : [ "Mentoring", "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Leadership" } ], "majorSkills" : "Software development, System design, Technical leadership", "majorSkillsList" : [ "Software development", "System design", "Technical leadership" ], "coreResponsibilities" : "Design and implement scalable software systems, Lead technical direction, Make architecture decisions, Provide system-wide view, Provide design guidance, Drive cross-functional collaboration, Align on goals, Deliver results, Mentor engineers, Coach engineers, Solve complex problems, Understand problems, Make technical trade-offs, Design systems, Review architectures, Unblock engineers, Write narratives, Align stakeholders, Own problems end-to-end, Drive consensus, Make trade-off calls", "teamCollaboration" : "Cross-functional collaboration; Across teams and organizations", "domainKnowledge" : "Internet edge; Global network; Traffic optimization; Distributed software; Massive scale systems; Global infrastructure; Internet connectivity; Planetary scale", "domainList" : [ "internet-edge", "global-network", "traffic-optimization", "distributed-software", "massive-scale-systems", "global-infrastructure", "internet-connectivity", "planetary-scale" ], "domainSpecificKnowledge" : [ "Internet edge", "Global network", "Traffic optimization", "Distributed software", "Massive scale systems", "Global infrastructure", "Internet connectivity", "Planetary scale" ], "documentationSkills" : "Write narratives", "continuousLearning" : "Continuous learning; Knowledge sharing", "innovationCreativity" : "Innovative software solutions", "problemSolvingSkills" : "Solve complex problems; Root cause analysis", "outcomesObjectives" : "Deliver network experiences; Deliver results", "qualificationsBasic" : "5+ years software development experience, 5+ years programming experience, 5+ years system design experience, Experience as a mentor, Experience as a tech lead, Experience leading an engineering team", "qualificationsPreferred" : "5+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about building globally distibuted software to that operates at AWS's internet edge and beyond? Amazon Web Services Internet Edge Services organization is reimagining how the internet's edge operates through innovative software solutions. As a Software Development Engineer III, you'll work on AWS's global network to build and operate global decision-making traffic optimization solutions, unlock new use cases and deliver network experiences that delight our customers. You'll tackle ambiguous, cross org problems where the business direction is understood but the technology strategy needs to be defined. This role combines hands-on development with technical leadership, where you'll design systems, mentor engineers, and drive consensus across teams while balancing constraints and focusing on future extension. Your work will shape long-term solutions that operate at massive scale across AWS's global infrastructure. Key job responsibilities - Design and implement scalable software systems demonstrating best practices that others emulate while balancing speed of delivery and foundation for the future - Lead technical direction and architecture decisions for complex, multi-engineer projects, providing system-wide view and design guidance while ensuring solutions fit into the bigger picture - Drive cross-functional collaboration across teams and organizations to align on goals and deliver results - Mentor and coach engineers through technical guidance, code reviews, and career development, actively driving adoption of engineering best practices on your team - Solve complex problems with multiple risks and roadblocks using solutions that are as simple as possible, working to clearly understand problems before moving to solutions and making technical trade-offs between short and long-term needs A day in the life As a Software Development Engineer III, you'll split your time between hands-on coding and leading technical direction for your team. Day-to-day, you're designing systems, reviewing architectures, unblocking engineers, and writing narratives to align stakeholders including senior leadership. You own ambiguous, cross-cutting problems end-to-end: figuring out what to build, driving consensus when people disagree, making trade-off calls, and mentoring junior developers along the way. About the team The Internet Edge Services organization at Amazon Web Services is at the forefront of optimizing global internet connectivity for our customers through innovative software solutions. We are on a bold mission to reimagine how the internet's edge operates at planetary scale — building the Border Network of the future. This kind of platform unlocks capabilities that simply weren't possible before. Our team values continuous learning, knowledge sharing, and mentorship, creating an environment where engineers can grow and take on increasingly complex challenges while delivering reliable, secure, and scalable systems that our customers depend on. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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" : "Senior Software Development Engineer, Internet Edge Services at Amazon Support Services Pty Ltd. Skills: Software development, System design, Technical leadership. Design and implement scalable software systems. Lead technical direction", "postedDate" : "2026-06-13T10:35:38.470", "createdAt" : "2026-06-13T10:35:38.470", "lastUpdated" : "2026-06-15T04:41:37.787", "ingestTimestamp" : "2026-06-13T10:35:38.470", "mongoId" : "6a2176bb74d8ee00a0c1abde", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10439312/apply", "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Software development", "Programming", "System design", "Architecture", "Mentoring", "Leadership", "Technical leadership", "Architecture decisions", "Internet edge", "Global network", "Traffic optimization", "Distributed software", "Massive scale systems", "Global infrastructure", "Internet connectivity", "Planetary scale" ], "skillCount" : 16, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68e0a7e3ce260f92cbf8eabf", "title" : "Senior Software Engineer - Query Optimization, Aurora DSQL", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 151300.0, "max" : 261500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "East Palo Alto, California, USA", "locations" : [ "East Palo Alto, California, USA" ], "timestamp" : "2026-06-15T05:59:01.649", "fingerprint" : "c3f7c87e9c6f1a3971ed5969964463a1b5e3269263cfb9f640eb4ccd10226cdb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3100177/apply", "externalId" : "6152493e-f82f-4051-8abe-2c759d49b4ee", "industryFunction" : { }, "structuredLocations" : [ { "city" : "East Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4688273,-122.1410750" } ], "locationText" : "East Palo Alto, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Distributed systems, Serverless, Cloud computing, AWS", "professionalSkills" : [ "System design", "Software architecture" ], "hardSkillsList" : [ "Query optimization", "Cost-based optimization", "Execution engine improvements", "Database internals", "Optimizer architectures" ], "hardSkills" : [ { "name" : "Query optimization", "level" : "intermediate" }, { "name" : "Cost-based optimization", "level" : "intermediate" }, { "name" : "Execution engine improvements", "level" : "intermediate" }, { "name" : "Database internals", "level" : "intermediate" }, { "name" : "Optimizer architectures", "level" : "intermediate" } ], "majorSkills" : "Query optimization, Database internals, Optimizer architectures", "majorSkillsList" : [ "Query optimization", "Database internals", "Optimizer architectures" ], "coreResponsibilities" : "Enhance query optimization layer, Enhance execution layer, Design query optimization algorithms, Implement query optimization algorithms, Design cost-based optimization strategies, Implement cost-based optimization strategies, Design core execution engine improvements, Implement core execution engine improvements, Solve challenging technical problems, Design innovative software solutions, Implement innovative software solutions, Test innovative software solutions, Deploy innovative software solutions, Maintain innovative software solutions, Build high-quality products, Build highly available products, Build always-on products, Research implementations, Create metrics, Implement automation, Resolve root cause software defects, Build high-impact solutions, Participate in design discussions, Participate in code review, Communicate with stakeholders, Work cross-functionally, Drive business decisions", "teamCollaboration" : "Collaborate across diverse teams; Participate in design discussions; Participate in code review; Communicate with internal stakeholders; Communicate with external stakeholders; Work cross-functionally", "domainKnowledge" : "Distributed SQL database; Database system internals; Query optimizer architectures; Serverless architecture; High availability systems; Data consistency; Cloud services; Compute services; Database services; Storage services; Internet of Things; Platform services; Productivity Apps services; Specialized security solutions", "domainList" : [ "distributed-sql-database", "database-system-internals", "query-optimizer-architectures", "serverless-architecture", "high-availability-systems", "data-consistency", "cloud-services", "compute-services", "database-services", "storage-services", "internet-of-things", "platform-services", "productivity-apps-services", "specialized-security-solutions" ], "domainSpecificKnowledge" : [ "Distributed SQL database", "Database system internals", "Query optimizer architectures", "Serverless architecture", "High availability systems", "Data consistency", "Cloud services", "Compute services", "Database services", "Storage services", "Internet of Things", "Platform services", "Productivity Apps services", "Specialized security solutions" ], "communicationSkills" : "Communicate with stakeholders", "continuousLearning" : "Mentorship programme", "innovationCreativity" : "Passion for innovation; Innovative software solutions", "problemSolvingSkills" : "Solve challenging technical problems; Resolve root cause software defects", "outcomesObjectives" : "Transform service performance; Transform service durability; Transform service cost; Transform service security", "qualificationsBasic" : "Deep experience database system internals, Query optimizer architectures experience, 5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree or PhD", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, highest availability, and zero infrastructure management. Aurora DSQL provides active-active high availability, providing strong data consistency designed for 99.99% single-Region and 99.999% multi-Region availability. Aurora DSQL automatically manages and scales system resources, so you don't have to worry about maintenance downtime and provisioning, patching, or upgrading infrastructure. We are seeking an engineer to enhance the query optimization and execution layer of Aurora DSQL. The role focuses on designing and implementing query optimization algorithms, cost-based optimization strategies, and core execution engine improvements. The ideal candidate has deep experience with database system internals and query optimizer architectures. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You’ll bring a passion for innovation, data, search, analytics, and distributed systems. You’ll also: Solve challenging technical problems, often ones not solved before, at every layer of the stack. Design, implement, test, deploy and maintain innovative software solutions to transform service performance, durability, cost, and security. Build high-quality, highly available, always-on products. Research implementations that deliver the best possible experiences for customers. A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also: Build high-impact solutions to deliver to our large customer base. Participate in design discussions, code review, and communicate with internal and external stakeholders. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you’re always working on the most important stuff. About the team Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. About AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 4+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Strong background in database system internals and query processing fundamentals Preferred Qualifications: - 2+ years of experience with query optimizer architectures, cost based optimizers in OLTP database engines Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Software Engineer - Query Optimization, Aurora DSQL at Amazon Development Center U.S., Inc.. Skills: Query optimization, Database internals, Optimizer architectures. Enhance query optimization layer. Enhance execution layer", "postedDate" : "2026-06-13T19:35:18.549", "createdAt" : "2026-06-13T19:35:18.549", "lastUpdated" : "2026-06-15T05:59:01.649", "ingestTimestamp" : "2026-06-13T19:35:18.549", "mongoId" : "68e0a7e3ce260f92cbf8eabf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3100177/apply", "salaryAnnualMin" : 151300, "salaryAnnualMax" : 261500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Query optimization", "Cost-based optimization", "Execution engine improvements", "Database internals", "Optimizer architectures", "System design", "Software architecture", "Distributed SQL database", "Database system internals", "Query optimizer architectures", "Serverless architecture", "High availability systems", "Data consistency", "Cloud services", "Compute services", "Database services", "Storage services", "Internet of Things", "Platform services", "Productivity Apps services", "Specialized security solutions" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca03274d8ee00a09a180d", "title" : "Logistics Optimization - Lead Senior/Staff Software Engineer", "company" : "Sprinter Health", "industry" : "Sprinter Health", "salary" : { "min" : 175000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco, CA", "locations" : [ "San Francisco, CA" ], "timestamp" : "2026-06-15T03:47:05.979", "fingerprint" : "d76523a5b0515e16fc4df9935d465c6c4ee10766031986dee8f46314abeda62e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/sprinter-health/cfa574df-1bf9-490d-aeba-7a22cdbbca27/application", "externalId" : "cfa574df-1bf9-490d-aeba-7a22cdbbca27", "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", "technicalSkills" : "JavaScript, TypeScript, Python, Node.js, GraphQL, AWS Amplify, AppSync, DynamoDB, Lambda, CloudFormation, BigQuery, Elasticsearch, OpenSearch", "professionalSkills" : [ "System design", "Algorithmic design", "Simulation modeling", "Predictive modeling", "Forecasting", "Optimization" ], "hardSkillsList" : [ "Operations research", "Applied math", "Quantitative modeling", "Route annealing", "Distributed scheduling" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Operations research", "level" : "intermediate" }, { "name" : "Applied math", "level" : "intermediate" }, { "name" : "Quantitative modeling", "level" : "intermediate" }, { "name" : "Route annealing", "level" : "intermediate" }, { "name" : "Distributed scheduling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Logistics optimization, Routing, Scheduling, Dispatch systems", "majorSkillsList" : [ "Logistics optimization", "Routing", "Scheduling", "Dispatch systems" ], "coreResponsibilities" : "Design algorithms optimize routing, Design algorithms optimize scheduling, Design algorithms optimize dispatch, Build simulations model demand, Build simulations model capacity, Build simulations model patient behavior, Develop predictive models cancellations, Develop predictive models no-shows, Develop predictive models overbooking, Collaborate translate challenges software, Prototype forecasting models, Prototype optimization models, Productionize forecasting models, Productionize optimization models, Own projects end-to-end", "teamCollaboration" : "Cross-functional teams; Product teams; Ops teams", "domainKnowledge" : "Healthcare logistics; In-home care delivery; Operations research; Simulation; Scalable distributed systems; Logistics; Scheduling; Large-scale routing", "domainList" : [ "healthcare-logistics", "in-home-care-delivery", "operations-research", "simulation", "scalable-distributed-systems", "logistics", "scheduling", "large-scale-routing" ], "domainSpecificKnowledge" : [ "Healthcare logistics", "In-home care delivery", "Operations research", "Simulation", "Scalable distributed systems", "Logistics", "Scheduling", "Large-scale routing" ], "toolProficiency" : [ "Looker", "Kibana" ], "continuousLearning" : "Annual learning stipend", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Algorithmic problems; Operational problems", "qualificationsBasic" : "5+ years software engineering, Backend or full-stack fundamentals, Shipped production systems, Collaborated cross-functionally", "qualificationsPreferred" : "Proficiency in JavaScript / TypeScript, Experience with global optimization, Experience with Monte Carlo simulations, Background in logistics, Background in scheduling, Background in large-scale routing, Prior work in healthcare, Experience in 0→1 environments, Scaling early-stage technical systems", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Sprinter Health: At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date with investors like a16z, General Catalyst, GV, and Accel and enjoy a multi-year runway. About the Role We’re hiring a Senior Software Engineer to join our Logistics Optimization team, where we tackle some of the hardest algorithmic and operational problems in healthcare. You’ll design systems that balance clinician supply, patient demand, and routing efficiency—essentially the logistics backbone of Sprinter’s in-home care delivery model. This is a deeply technical, high-impact role where you’ll work on problems at the intersection of operations research, simulation, and scalable distributed systems. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed. What will you do: - Design and implement algorithms that optimize clinician routing, scheduling, and dispatch at national scale - Build simulations that model demand, capacity, and patient behavior under real-world constraints - Develop predictive models for cancellations, no-shows, and overbooking optimization - Collaborate with product and ops teams to translate complex logistics challenges into scalable software systems - Prototype and productionize forecasting and optimization models in a distributed environment - Own projects end-to-end—from design to implementation and iteration What you have done: - 5+ years of software engineering experience with strong backend or full-stack fundamentals - Proficiency in JavaScript / TypeScript (preferred) and/or Python - Experience designing or implementing optimization, forecasting, or simulation systems - Background in operations research, applied math, or quantitative modeling - Shipped production systems that balance technical complexity and real-world constraints - Collaborated cross-functionally with product, ops, or data science teams to drive measurable impact What gives you an edge: - Experience with global optimization techniques or Monte Carlo simulations - Background in logistics, scheduling, or large-scale routing systems - Prior work in healthcare or other operationally complex, data-heavy environments - Experience in 0→1 environments or scaling early-stage technical systems - You’re motivated by solving real problems that improve access to care Our tech stack: - TypeScript / Node.js http://Node.js - Python - GraphQL - AWS Amplify Stack (AppSync, DynamoDB, Lambda, CloudFormation) - BigQuery, Elasticsearch / OpenSearch - Looker, Kibana - Forecasting, simulation, and optimization frameworks - Custom route annealing and distributed scheduling models What we offer: - Meaningful pre-IPO equity - Competitive salary aligned with senior engineering levels - Medical, dental, and vision fully covered for you and your dependents - Flexible PTO + 10 paid holidays - 401(k) with company match - 16-week parental leave (8 weeks for partners) - HSA / FSA contributions - Life, short-term, and long-term disability coverage - Free daily lunch in-office - Annual learning stipend The interview process - We aim to complete the process within 2–3 weeks. It typically includes: - Recruiter Screen (30 minutes) - Hiring Manager Conversation (30 minutes) - Technical Assessment — algorithms, systems design, or applied problem solving (45 minutes) - Onsite Interview (3 hours) - Systems Design (optimization / logistics-focused) + Behavioral Interview + Lunch with the team - References Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other protected classes. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here https://jobs.lever.co/SprinterHealthhttps:/careers.sprinterhealth.com/. All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.", "summaryDescription" : "Logistics Optimization - Lead Senior/Staff Software Engineer at Sprinter Health. Skills: Logistics optimization, Routing, Scheduling, Dispatch systems. Design algorithms optimize routing. 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Skills: Machine Learning, AI, Software Development. Design and develop AI/ML models. Build and maintain production ML systems", "postedDate" : "2026-06-16T01:49:54.437", "createdAt" : "2026-06-16T01:49:54.437", "lastUpdated" : "2026-06-16T14:58:14.400", "ingestTimestamp" : "2026-06-16T01:49:54.437", "mongoId" : "6a307faaf292fd229c05bfee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 265000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Machine learning", "Deep learning", "Data mining", "Distributed systems", "Large-scale data processing", "Machine Learning", "AI", "Software Development", "YouTube Ads", "Advertiser Optimization", "Bidding Systems" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c74ac74d8ee00a0935268", "title" : "Deployment Engineer", "company" : "Dyna Robotics", "industry" : "Engineering", "salary" : { "min" : 135000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Deployment Engineer in Redwood City, United States, adjusted for the Technology industry and company size." }, "location" : "Redwood City, CA", "locations" : [ "Redwood City, CA" ], "timestamp" : "2026-06-16T04:13:40.394", "fingerprint" : "4d6c2674f00d056fc007754d86468167953d6e489dea226b910e9d362240686d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/dyna-robotics/869b09e4-33cd-48a7-b937-3f3cbcec6b92/application", "externalId" : "869b09e4-33cd-48a7-b937-3f3cbcec6b92", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redwood City", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4863239,-122.2325230" } ], "locationText" : "Redwood City, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Docker, Tailscale, WireGuard, Linux, Shell, Systemd, SSH, VLANs, WiFi, TCP, DHCP, DNS, VPN, GPU, CAN bus, Socketcan, GStreamer", "professionalSkills" : [ "Incident response", "Network provisioning", "Server provisioning", "Customer IT coordination", "Knowledge transfer", "Fleet-wide fixes" ], "hardSkillsList" : [ "Ethernet crimping", "Firewall whitelisting", "Token rotation", "Network tuning", "Inference server provisioning", "Robot validation", "Incident triage", "Motor timeouts", "CAN bus timeouts", "Container crash-loops", "Upload stalls", "Finalize-queue stalls", "GPU detection", "Linux services", "Docker health", "GPU hardware", "Server hardware", "Arm swaps", "Motor swaps", "Connector reseating", "Cable tracing", "Customer scheduling", "Site representation", "Runbook creation", "Scripting", "Monitoring dashboards", "Onboarding", "Reproducible reports", "Hardware debugging", "Software debugging", "Research debugging" ], "hardSkills" : [ { "name" : "Ethernet crimping", "level" : "intermediate" }, { "name" : "Firewall whitelisting", "level" : "intermediate" }, { "name" : "Token rotation", "level" : "intermediate" }, { "name" : "Network tuning", "level" : "intermediate" }, { "name" : "Inference server provisioning", "level" : "intermediate" }, { "name" : "Robot validation", "level" : "intermediate" }, { "name" : "Incident triage", "level" : "intermediate" }, { "name" : "Motor timeouts", "level" : "intermediate" }, { "name" : "CAN bus timeouts", "level" : "intermediate" }, { "name" : "Container crash-loops", "level" : "intermediate" }, { "name" : "Upload stalls", "level" : "intermediate" }, { "name" : "Finalize-queue stalls", "level" : "intermediate" }, { "name" : "GPU detection", "level" : "intermediate" }, { "name" : "Linux services", "level" : "intermediate" }, { "name" : "Docker health", "level" : "intermediate" }, { "name" : "GPU hardware", "level" : "intermediate" }, { "name" : "Server hardware", "level" : "intermediate" }, { "name" : "Arm swaps", "level" : "intermediate" }, { "name" : "Motor swaps", "level" : "intermediate" }, { "name" : "Connector reseating", "level" : "intermediate" }, { "name" : "Cable tracing", "level" : "intermediate" }, { "name" : "Customer scheduling", "level" : "intermediate" }, { "name" : "Site representation", "level" : "intermediate" }, { "name" : "Runbook creation", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Monitoring dashboards", "level" : "intermediate" }, { "name" : "Onboarding", "level" : "intermediate" }, { "name" : "Reproducible reports", "level" : "intermediate" }, { "name" : "Hardware debugging", "level" : "intermediate" }, { "name" : "Software debugging", "level" : "intermediate" }, { "name" : "Research debugging", "level" : "intermediate" } ], "majorSkills" : "Deployment, Robotics, AI, Networking, Hardware Debugging", "majorSkillsList" : [ "Deployment", "Robotics", "AI", "Networking", "Hardware Debugging" ], "coreResponsibilities" : "Stand up deployment sites, Maintain deployment sites, Network bring-up, Provision inference servers, Validate robot inference, Own incident response, Carry on-call pager, Triage incidents, Lead incidents, Debug under pressure, Write post-mortems, Write incident follow-ups, Debug Linux services, Debug Docker container health, Debug GPU/inference server issues, Debug networking, Debug robot hardware, Coordinate with customer IT, Coordinate with site contacts, Schedule deployments, Run deployments, Represent Dyna professionally, Turn tribal knowledge into runbooks, Create networking scripts, Create provisioning scripts, Create monitoring dashboards, Create onboarding processes, File clear reports, File reproducible reports, Push for fleet-wide fixes", "teamCollaboration" : "Customer IT contacts; Site contacts; Hardware teams; Software teams; Research teams", "domainKnowledge" : "Embodied AI; Foundation models; AI-driven robotics; General-purpose robots; Commercial-grade performance; Robotics hardware; Embedded systems; Motor controllers; Sensors; Cameras", "domainList" : [ "embodied-ai", "foundation-models", "ai-driven-robotics", "general-purpose-robots", "commercial-grade-performance", "robotics-hardware", "embedded-systems", "motor-controllers", "sensors", "cameras" ], "domainSpecificKnowledge" : [ "Embodied AI", "Foundation models", "AI-driven robotics", "General-purpose robots", "Commercial-grade performance", "Robotics hardware", "Embedded systems", "Motor controllers", "Sensors", "Cameras" ], "toolProficiency" : [ "Incident.io", "Grafana", "Datadog" ], "communicationSkills" : "Written communication; Status updates; Post-mortems", "documentationSkills" : "Runbooks", "problemSolvingSkills" : "Debugging; Troubleshooting; Root cause analysis", "specialRequirements" : "On-call pager, Occasional travel", "outcomesObjectives" : "Ensure robot is collecting/inferring correctly; Prevent single point of failure", "qualificationsBasic" : "Linux fundamentals, Solid networking skills, Comfort with GPU/server hardware, Hands-on hardware debugging instinct, Calm, structured incident response, Clear written communication, Customer-facing maturity, Willingness to travel", "qualificationsPreferred" : "Robotics or embedded experience, Experience building observability, Writing deployment/automation scripts, Prior field/deployment role, Prior SRE role, Prior solutions-engineering role, Experience setting up on-call processes, Experience writing runbooks from scratch", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "JOIN US TO SHAPE THE NEXT FRONTIER OF AI-DRIVEN ROBOTICS! Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Our frontier model has the top generalization and performance in the industry. THE ROLE This is a hands-on role for someone who's equally comfortable reading a Python traceback, crimping an ethernet cable, arguing about GPU thermals, and talking a customer's IT contact through firewall whitelisting, often in the same afternoon. WHAT YOU'LL DO - Stand up and maintain deployment sites. Network bring-up (captive portals, firewall/MAC whitelisting, token rotation, Tailscale, VLANs/SSIDs, WiFi and TCP tuning), inference server provisioning, and end-to-end validation that a robot is collecting/inferring correctly. - Own incident response. Carry the on-call pager, triage and lead incidents on incident.io http://incident.io, debug under pressure (motor/CAN bus timeouts, container crash-loops, upload/finalize-queue stalls, GPU-not-detected), and write the post-mortem and follow-ups. - Debug across the stack. Linux services and Docker container health, GPU/inference server issues, networking, and robot hardware (arm/motor swaps, cabling, sensors). - Be the on-site face for customers. Coordinate directly with customer IT and site contacts, schedule and run deployments, and represent Dyna professionally at sites, showrooms, and conferences. - Make the function scalable. Turn tribal knowledge into runbooks, networking/provisioning scripts, monitoring/dashboards, and onboarding so that no single site (or person) is a point of failure. - Close the loop with engineering. File clear, reproducible reports back to hardware/software/research teams and push for fleet-wide fixes (not just one-off patches). WHAT YOU’LL BRING - Strong Linux fundamentals: shell, systemd/services, SSH, log spelunking, and Docker. - Solid networking skills: DHCP/DNS, firewalls, VPN (e.g. Tailscale/WireGuard), VLANs, WiFi behavior, and the patience to deal with hostile customer networks (captive portals, locked-down firewalls). - Comfort with GPU/server hardware and inference workloads: drivers, nvidia-smi, thermal/power constraints, basic benchmarking. - Hands-on hardware debugging instinct — willing to physically swap an arm, reseat a connector, or trace a flaky cable. - Calm, structured incident response and clear written communication (status updates, post-mortems). - Customer-facing maturity and willingness to travel to sites on short notice. BONUS POINTS FOR - Robotics or embedded experience: CAN bus / socketcan, motor controllers, sensors/cameras (e.g. GStreamer pipelines). - Experience building observability (Grafana/Datadog) and writing deployment/automation scripts. - Prior field/deployment, SRE, or solutions-engineering role at a hardware or robotics startup. - Experience setting up on-call processes and runbooks from scratch. ADDITIONAL REQUIREMENTS - Location: in Redwood City, CA (Onsite 5 days/week + occasional travel)", "summaryDescription" : "Deployment Engineer at Dyna Robotics. Skills: Deployment, Robotics, AI, Networking, Hardware Debugging. Stand up deployment sites. 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By consolidating processes into a single, easy-to-use platform and automating repetitive tasks, we free accounting teams to focus on strategic, high-impact work—achieving more with fewer resources. Our team is led by top engineers and finance professionals from companies like Robinhood, Bolt, EY, Facebook, Twitter, Netflix, Amazon, Google, Airbnb, Rubrik, and more. Together, we're using our extensive industry experience to transform the way businesses manage their finances. Maxima is backed by leading Silicon Valley investors. We raised the largest seed round in our category, with support from top-tier VCs such as Kleiner Perkins and Audacious Ventures. This funding has allowed us to launch a fully operational product and onboard several major customers. YOUR ROLE AT MAXIMA: - Collaborate with account executives to manage complex deal cycles involving multiple stakeholders. - Oversee and execute technical proof-of-concept (POC) processes. - Tune prompts and models to enable the right AI performance for our clients. - Build out custom modules to enable customers to go live successfully - Design and present tailored demos based on customer and business needs. - Develop implementation scoping document for each customer that launches with Maxima - Build integrations to different transaction systems like revenue, billing, account payable etc. - Conduct customer-facing activities such as technical discovery calls. - Partner with product and engineering teams to deliver on customer requests and advocate for customer needs. - Troubleshoot, debug, fix, and upgrade software to ensure reliable and robust performance in production environments - Provide ongoing technical support and maintenance for deployed solutions YOUR QUALIFICATIONS: - 2+ years experience in forward deploy engineering, sales engineering, implementation engineering or solution engineer. - Bachelor’s degree in any engineering discipline. Computer science is preferred but not mandatory. - Strong verbal and written communication skills. You should be comfortable interfacing with customers. This is very important for this role. - Proactive and highly motivated. - Can handle the high intensity and fast pace of a startup environment. - Proficient in languages like Golang, Typescripts, Python etc. - Able to identify customer needs and provide innovative solutions. - Proven experience collaborating with Account Executives to manage technical sales processes for Enterprise customers. Maxima is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.", "summaryDescription" : "Deployment Engineer at Maxima", "createdAt" : "2026-06-14T18:33:44.181", "lastUpdated" : "2026-06-16T00:55:24.085", "ingestTimestamp" : "2026-06-14T18:33:44.181", "mongoId" : "6a2cd6b874d8ee00a0a3f129", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Junior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6b6874d8ee00a0912247", "title" : "Sr. Staff Machine Learning Researcher - Model Training & Optimization", "company" : "Tenstorrent", "industry" : "Technology", "salary" : { "min" : 100000.0, "max" : 500000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, Canada", "locations" : [ "Toronto", "Ontario", "Canada" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T05:13:34.501", "fingerprint" : "e487a48775ae68f8fb1aec0f3551c71ed617b062826808a3b61d14d80fd5883a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tenstorrent/jobs/5163484007", "externalId" : "5163484007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio", "professionalSkills" : [ "Model training", "Model optimization", "Research", "Development" ], "hardSkillsList" : [ "Machine learning", "Deep learning", "Statistical modeling", "Data engineering", "Algorithm development" ], "hardSkills" : [ { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Algorithm development", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Model Training, Model Optimization, Research", "majorSkillsList" : [ "Machine Learning", "Model Training", "Model Optimization", "Research" ], "coreResponsibilities" : "Conduct research on model training and optimization, Develop and implement novel algorithms, Optimize existing machine learning models, Collaborate with engineering teams, Stay current with ML research", "teamCollaboration" : "Engineering teams", "domainKnowledge" : "Machine learning; Deep learning; Model training; Model optimization; Large language models", "domainList" : [ "machine-learning", "deep-learning", "model-training", "model-optimization", "large-language-models" ], "domainSpecificKnowledge" : [ "Machine learning", "Deep learning", "Model training", "Model optimization", "Large language models" ], "toolProficiency" : [ "MLflow", "Dbt Cloud", "Databricks", "Snowflake", "BigQuery", "Redshift", "Fivetran", "Airflow" ], "continuousLearning" : "Stay current with ML research", "qualificationsBasic" : "4+ years of experience, PhD in Computer Science, Proficiency in SQL", "qualificationsPreferred" : "Experience with PyTorch, Experience with TensorFlow, Experience with Hugging Face, Experience with MLflow, Experience with scikit-learn, Experience with XGBoost, Experience with LightGBM, Experience with dbt Cloud, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Fivetran, Experience with Airflow, Experience with AWS, Experience with GCP, Experience with Azure, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation AI systems that push the boundaries of model training, inference, and large-scale distributed compute. The ML Models team sits at the intersection of cutting-edge AI research and high-performance hardware, bringing state-of-the-art machine learning models to life on Tenstorrent’s custom AI accelerators. From training large language models to optimizing inference performance at scale, this team works across the full stack to turn breakthrough research into production-ready AI systems. If you are passionate about model training, ML systems optimization, and advancing the frontier of AI research, this is an opportunity to shape how future AI models are developed and deployed. This role is hybrid, based out of Toronto, ON. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Strong Python and PyTorch experience developing and training deep learning models. Deep understanding of ML architectures, LLM training, and inference optimization. Hands-on experience training large-scale machine learning models. 4+ years of industry and/or academic experience in ML research and LLM development. PhD, published research, or experience with speculative decoding is highly valued. What We Need Lead research and development efforts focused on LLM training and inference optimization. Train, evaluate, and optimize state-of-the-art AI models on Tenstorrent hardware. Improve performance through techniques such as speculative decoding, quantization, kernel fusion, flash attention, and distributed training. Investigate system bottlenecks and collaborate cross-functionally to drive performance improvements. Translate cutting-edge ML research into scalable, production-ready solutions. What You Will Learn How to optimize AI models on custom AI accelerators from application to silicon. How large-scale ML systems are deployed, tuned, and scaled in production. How hardware, compiler, kernel, and ML teams collaborate to maximize performance. The challenges and tradeoffs of scaling modern AI workloads across custom hardware. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U. S. export-controlled technology. Due to U. S. export laws, including those codified in the U. S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U. S. and all countries outside the U. S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U. S. Commerce Department or applicable federal agency. If employment is not possible due to U. S. export laws, any offer of employment will be rescinded.", "summaryDescription" : "Sr. Staff Machine Learning Researcher - Model Training & Optimization at Tenstorrent. Skills: Machine Learning, Model Training, Model Optimization, Research. Conduct research on model training and optimization. Develop and implement novel algorithms", "postedDate" : "2026-06-14T18:33:30.385", "createdAt" : "2026-06-14T18:33:30.385", "lastUpdated" : "2026-06-16T05:13:34.501", "ingestTimestamp" : "2026-06-14T18:33:30.385", "mongoId" : "6a2c6b6874d8ee00a0912247", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Machine learning", "Deep learning", "Statistical modeling", "Data engineering", "Algorithm development", "Machine Learning", "Model Training", "Model Optimization", "Research", "Model training", "Model optimization", "Development", "Large language models", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "MLflow", "Dbt Cloud", "Databricks", "Snowflake", "BigQuery", "Redshift", "Fivetran", "Airflow" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "693c2b8d70f0b99d5843fec7", "title" : "Software Development Engineer II, Robotics Integration and Optimization", "company" : "Amazon.com Services LLC", "industry" : "Software Development, fulfillment technology and robotics", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Arlington, Virginia, USA", "locations" : [ "Arlington, Virginia, USA" ], "timestamp" : "2026-06-15T03:03:54.371", "fingerprint" : "5dfb7486d9bd0b215bd9a82f8bb21e27cfc758143f5454f266ae65be643bde58", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3138421/apply", "externalId" : "99026b88-06aa-412c-866a-8eb1ef011079", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Machine learning, Manipulation, Image processing, Distributed systems, Linux", "professionalSkills" : [ "Robotics integration", "Automation projects", "Edge compute solutions", "Industrial automation" ], "hardSkillsList" : [ "Software development cycle", "Machine controls", "Embedded Linux" ], "softSkillsList" : [ "Entrepreneurial", "Ownership" ], "hardSkills" : [ { "name" : "Software development cycle", "level" : "intermediate" }, { "name" : "Machine controls", "level" : "intermediate" }, { "name" : "Embedded Linux", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Entrepreneurial" }, { "name" : "Ownership" } ], "majorSkills" : "Robotics integration, Automation, Edge computing, Software development", "majorSkillsList" : [ "Robotics integration", "Automation", "Edge computing", "Software development" ], "coreResponsibilities" : "Integrate hardware and software services, Implement CI/CD pipelines, Validate solutions via simulation, Work closely with deployment teams, Implement end-to-end solutions, Develop infrastructure for low level software, Support development for warehouse automation, Support operations for warehouse automation, Support maintenance for warehouse automation", "teamCollaboration" : "Internal R&D teams; Design teams; Automation strategic partners; Deployment teams", "domainKnowledge" : "Robotics; Mechatronics; Conveyance; Supply chain optimization; Real-time data processing; Industrial automation; Edge-based solutions", "domainList" : [ "robotics", "mechatronics", "conveyance", "supply-chain-optimization", "real-time-data-processing", "industrial-automation", "edge-based-solutions" ], "domainSpecificKnowledge" : [ "Robotics", "Mechatronics", "Conveyance", "Supply chain optimization", "Real-time data processing", "Industrial automation", "Edge-based solutions" ], "innovationCreativity" : "Automation projects; Edge compute solutions; Early-stage initiative", "specialRequirements" : "Travel up to 25%", "qualificationsBasic" : "3+ years professional software development, 2+ years system design or architecture, Experience programming one language, 2+ years full SDLC experience", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science, 3+ years programming modern language, Object-oriented design experience, Travel up to 25%", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is building the next generation software, hardware, and processes to run our state-of-the-art global fulfillment network that moves many millions of units of inventory, ensuring that customers get what they want when promised. We are constantly innovating in the ways we are automating and accelerating the delivery of packages which includes custom robotics, mechatronics, conveyance, supply chain optimization, machine learning, manipulation, image processing, and real-time data processing using distributed systems. We are looking for a software development engineer with a passion to transform the way we integrate robotics within our global network of advanced warehouses. This position is a unique opportunity to be involved in a wide range of automation projects right from the start. You will collaborate with multiple internal Amazon R&D and design teams as well as automation strategic partners who have the technology and resources to meet Amazon’s growth needs on a global scale. This role is in a newly established team which will create edge compute solutions for industrial automation applications. It is an early-stage initiative with a fast paced, highly collaborative start-up like environment inside Amazon. To be successful you need to be flexible and entrepreneurial. You are a true owner - you are hands on and you set examples to be emulated. You will be responsible for all the aspects of the software development cycle including scoping, design, implementation, testing, and delivery of your product. This is a unique opportunity to define edge-based solutions where the cloud meets the real world in the heart of our fulfillment centers. The ideal candidate will enjoy working at multiple layers of the stack from the low-level machine controls layer up through embedded Linux applications and cloud-based solutions to interface with and manage fleets of real-world devices. Key job responsibilities * Integrate with a diverse array of internally and externally developed hardware and software services * Implement continuous integration and continuous deployment (CI/CD) pipelines * Validate solutions via software-in-the-loop simulation * Work closely with deployment teams to implement end-to-end solutions in the field * Develop infrastructure to support development, operations, and maintenance of low level software for warehouse automation systems Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - 2+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 3+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience - Travel up to 25% of the time - Experience with AWS technologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Engineer II, Robotics Integration and Optimization at Amazon.com Services LLC. Skills: Robotics integration, Automation, Edge computing, Software development. Integrate hardware and software services. 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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' Serve as the senior escalation point for complex connectivity incidents spanning datacenter edge, office networks, wireless, WAN, firewalls, and public/private cloud integration. Design and optimize enterprise connectivity patterns for edge networking, office connectivity, hybrid cloud integration, and secure interconnection between environments. Lead major network changes, migrations, upgrades, failover testing, and lifecycle refreshes. Define and improve technical standards for routing, switching, firewall governance, wireless design, segmentation, resiliency, and cloud connectivity. Partner with cybersecurity, cloud, platform, and support teams to ensure connectivity services align with security and governance requirements. Review and improve firewall policy structures, segmentation approaches, connectivity guardrails, and operational controls. Drive root-cause analysis and permanent corrective actions for recurring or high-severity issues. Mentor Connectivity Engineer I and II staff and provide technical leadership across the team. Evaluate new technologies, vendors, and service models for operational fit and strategic value. Contribute to roadmaps for network modernization, automation, and service reliability improvement. Schedule & Presence: This on-site role supports 24/7 operations through real-time collaboration, standard shifts occur within a 6:00 AM - 6:00 PM window, Monday through Friday. Additionally, this position requires scheduled on-call flexibility and the ability to remain reasonably reachable during off-hours for critical business continuity. Preferred Qualifications Experience designing or supporting network connectivity across private cloud and public cloud platforms. Experience with Azure networking, AWS networking, ExpressRoute, Direct Connect, VPN, or cloud transit architectures. Experience with network segmentation, zero trust principles, NAC, or policy governance. Experience with automation or scripting for network operations. Advanced certifications such as CCNP, CCIE, PCNSE, NSE 7/8, Azure Network Engineer Associate, or equivalent. Required Qualifications Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field, or equivalent relevant experience. Minimum 6 years of progressive experience in enterprise network engineering, hybrid connectivity, or infrastructure engineering. Advanced experience with enterprise routing, switching, WAN, firewall administration, and wireless technologies. Demonstrated experience supporting multi-site or large-scale enterprise environments. Strong understanding of hybrid cloud networking, network security principles, and operational governance. Proven ability to lead complex technical troubleshooting and technical initiatives with limited oversight. Strong documentation, communication, and stakeholder collaboration skills. 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.)%0AFolsom, CA; Denver, CO; Englewood, CO: %2488,704 – %24126,720%0AMinneapolis, MN; St. Paul, MN: %2484,672 – %24120,960%0APennington, NJ: %2492,736 – %24132,480%0AWoodcliff Lake, NJ: %24100,800 – %24144,000%0AOlympia, WA: %2480,640 – %24115,200", "summaryDescription" : "Senior Edge Connectivity Specialist at HDR. Skills: Edge networking, Hybrid cloud integration, Network security. Serve as senior escalation point for complex connectivity. Design and optimize enterprise connectivity patterns", "createdAt" : "2026-06-14T21:58:13.514", "lastUpdated" : "2026-06-15T22:47:58.488", "ingestTimestamp" : "2026-06-14T21:58:13.514", "mongoId" : "6a2cce7274d8ee00a0a2c2c4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80640, "salaryAnnualMax" : 144000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Network engineering", "Infrastructure engineering", "Enterprise routing", "Enterprise switching", "WAN administration", "Firewall administration", "Wireless design", "Cloud connectivity", "Firewall policy", "Segmentation approaches", "Operational controls", "Leadership", "Edge networking", "Hybrid cloud integration", "Network security", "Technical leadership", "Root-cause analysis", "Lifecycle management", "Roadmap planning", "Datacenter edge connectivity", "Office networks", "Public cloud integration", "Private cloud integration", "Network security principles", "Operational 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"https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-DL-Software-Engineer--Model-Optimization-and-Edge-Deployment---Autonomous-Vehicles_JR2015398", "externalId" : "JR2015398", "industryFunction" : { }, "locationPoint" : "45.16105,12.2989", "structuredLocations" : [ { "city" : "Santa Clara", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Santa Clara, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Deep Learning, LLM, VLM, PyTorch, JAX, vLLM, TensorRT-LLM, SGLang, TensorRT, CUDA, Triton, CUTLASS, C++", "professionalSkills" : [ "Model Optimization", "Edge Deployment", "Autonomous Vehicles", "Embodied AI", "Real-time Robotic Execution", "End-to-end Driving Stack", "Complex Scene Reasoning", "Latency Constraints", "Safety Constraints", "Production Deployments", "Model Footprints", "Safety-Critical Accuracy", "Inference Optimization", "Automated Model Sharding", "Tensor Parallelism", "Sequence Parallelism", "Attention Kernels", "KV-Caching", "Model Profiling", "Compute Bottlenecks", "Memory Bottlenecks", "Real-time Execution", "Model Graph Representations", "Deployment Pipelines", "Edge Architectures", "Specialized Accelerators", "Software Interface Architecture", "High-Performance Computing", "Research Translation", "Product Solutions", "LLM/VLM Inference Stacks", "GPU Architecture", "Compilation Stack", "Hardware/Software Boundary Debugging", "Real-time Robotic Control", "Autonomous Decision-Making", "Low-bit Inference", "Non-standard Neural Network Layers", "Specialized Attention Mechanisms", "Open-source Inference Libraries", "Open-source Optimization Libraries", "Real-time Robotics Constraints", "Safety-Critical Determinism", "Hardware-in-the-loop (HIL) Testing", "Ultra-low Latency Requirements" ], "hardSkillsList" : [ "Speculative Decoding", "Block Diffusion", "KV Cache Streaming", "Prefill–Decode Separation", "Quantization (FP4/FP8)", "Pruning", "Knowledge Distillation", "Model Sharding", "Tensor Parallelism", "Sequence Parallelism", "Attention Kernels", "KV-caching", "Model Profiling", "Layer-by-layer Model Profiling", "Custom High-Performance Kernels", "CUDA", "Triton", "CUTLASS" ], "softSkillsList" : [ "Curious", "Entrepreneurial", "Autonomous" ], "hardSkills" : [ { "name" : "Speculative Decoding", "level" : "intermediate" }, { "name" : "Block Diffusion", "level" : "intermediate" }, { "name" : "KV Cache Streaming", "level" : "intermediate" }, { "name" : "Prefill–Decode Separation", "level" : "intermediate" }, { "name" : "Quantization (FP4/FP8)", "level" : "intermediate" }, { "name" : "Pruning", "level" : "intermediate" }, { "name" : "Knowledge Distillation", "level" : "intermediate" }, { "name" : "Model Sharding", "level" : "intermediate" }, { "name" : "Tensor Parallelism", "level" : "intermediate" }, { "name" : "Sequence Parallelism", "level" : "intermediate" }, { "name" : "Attention Kernels", "level" : "intermediate" }, { "name" : "KV-caching", "level" : "intermediate" }, { "name" : "Model Profiling", "level" : "intermediate" }, { "name" : "Layer-by-layer Model Profiling", "level" : "intermediate" }, { "name" : "Custom High-Performance Kernels", "level" : "intermediate" }, { "name" : "CUDA", "level" : "intermediate" }, { "name" : "Triton", "level" : "intermediate" }, { "name" : "CUTLASS", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Entrepreneurial" }, { "name" : "Autonomous" } ], "majorSkills" : "Deep Learning Model Optimization, Edge Deployment, LLM/VLM Inference, PyTorch, TensorRT, CUDA", "majorSkillsList" : [ "Deep Learning Model Optimization", "Edge Deployment", "LLM/VLM Inference", "PyTorch", "TensorRT", "CUDA" ], "coreResponsibilities" : "Design and implement SOTA algorithms to make LLM/VLM fast, lean, and reliable enough to power an end-to-end driving stack, Re-architecting models for the edge, ensuring that models capable of complex scene reasoning can operate within the strict latency and safety constraints of an AV compute platform, Develop SOTA model optimization techniques, such as speculative decoding with block diffusion, KV cache streaming, and Prefill–Decode separation, etc. to boost E2E model performance for production deployments, Implement advanced compression techniques including Quantization (FP4/FP8), pruning, and knowledge distillation to minimize model footprints without compromising safety-critical accuracy, Design high-performance optimization strategies for inference, including automated model sharding (tensor/sequence parallelism) and the development of efficient attention kernels optimized for KV-caching, Conduct deep, layer-by-layer model profiling to identify compute and memory bottlenecks, driving targeted optimizations for real-time execution, Leverage the PyTorch ecosystem to extract standardized model graph representations and automate deployment pipelines for TensorRT conversion, Scale DL model performance across diverse NVIDIA edge architectures, maximizing the throughput of specialized accelerators on the road, Architect the software interface to seamlessly integrate and interact with large-scale models within a high-performance C++ production environment, Partner with research, TensorRT, and Cosmos teams to translate breakthrough innovations into shipping product solutions", "teamCollaboration" : "Partner with research, TensorRT, and Cosmos teams to translate breakthrough innovations into shipping product solutions", "domainKnowledge" : "Autonomous Vehicles; Embodied AI; Real-time Robotics; Safety-Critical Determinism; Hardware-in-the-loop (HIL) Testing; Ultra-low Latency Requirements", "domainList" : [ "autonomous-vehicles", "embodied-ai", "real-time-robotics", "safety-critical-determinism", "hardware-in-the-loop-hil-testing", "ultra-low-latency-requirements" ], "domainSpecificKnowledge" : [ "Autonomous Vehicles", "Embodied AI", "Real-time Robotics", "Safety-Critical Determinism", "Hardware-in-the-loop (HIL) Testing", "Ultra-low Latency Requirements" ], "toolProficiency" : [ "PyTorch", "JAX", "vLLM", "TensorRT-LLM", "SGLang", "TensorRT", "CUDA", "Triton", "CUTLASS" ], "innovationCreativity" : "Translate breakthrough innovations into shipping product solutions", "problemSolvingSkills" : "Identify compute and memory bottlenecks, driving targeted optimizations for real-time execution; Debug end-to-end performance across the hardware/software boundary", "outcomesObjectives" : "Boost E2E model performance for production deployments; Minimize model footprints without compromising safety-critical accuracy; Maximize the throughput of specialized accelerators on the road; Seamlessly integrate and interact with large-scale models within a high-performance C++ production environment; Translate breakthrough innovations into shipping product solutions", "qualificationsBasic" : "PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field, Expert-level proficiency in PyTorch, JAX, or similar machine learning frameworks, Sophisticated proficiency with modern LLM/VLM inference stacks, such as vLLM, TensorRT-LLM and SGLang, A proven track record of training, deploying, or optimizing large-scale DL models in production environments, Deep familiarity with NVIDIA’s deep learning SDKs, specifically TensorRT and CUDA, understanding of GPU architecture, the compilation stack, and the ability to debug end-to-end performance across the hardware/software boundary", "qualificationsPreferred" : "Deep experience with LLM, VLM, and VLA model optimization, specifically tailored for real-time robotic control, embodied AI, and autonomous decision-making, Proven track record of implementing low-bit inference, Prior experience writing custom high-performance kernels using CUDA, Triton, or CUTLASS to accelerate non-standard neural network layers and specialized attention mechanisms, Active contributions to open-source inference and optimization libraries such as vLLM, SGLang and TensorRT-LLM, Thorough understanding of the unique constraints of real-time robotics, including safety-critical determinism, hardware-in-the-loop (HIL) testing, and ultra-low latency requirements", "remoteFriendly" : true, "rawDescription" : "NVIDIA is at the forefront of the AI revolution, specifically in the constantly evolving field of Embodied AI. We are seeking a high-caliber Deep Learning Engineer to bridge the gap between cutting-edge multimodal architectures and real-time robotic execution for autonomous vehicles. In this role, you will design and implement SOTA algorithms to make LLM/VLM fast, lean, and reliable enough to power an end-to-end driving stack. You won’t just be \"running\" models; you will be re-architecting them for the edge, ensuring that models capable of complex scene reasoning can operate within the strict latency and safety constraints of an AV compute platform. **What You’ll Be Doing:** * Develop SOTA model optimization techniques, such as speculative decoding with block diffusion, KV cache streaming, and Prefill–Decode separation, etc. to boost E2E model performance for production deployments. * Implement advanced compression techniques including Quantization (FP4/FP8), pruning, and knowledge distillation to minimize model footprints without compromising safety-critical accuracy. * Design high-performance optimization strategies for inference, including automated model sharding (tensor/sequence parallelism) and the development of efficient attention kernels optimized for KV-caching. * Conduct deep, layer-by-layer model profiling to identify compute and memory bottlenecks, driving targeted optimizations for real-time execution. * Leverage the PyTorch ecosystem to extract standardized model graph representations and automate deployment pipelines for TensorRT conversion. * Scale DL model performance across diverse NVIDIA edge architectures, maximizing the throughput of specialized accelerators on the road. * Architect the software interface to seamlessly integrate and interact with large-scale models within a high-performance C++ production environment. * Partner with research, TensorRT, and Cosmos teams to translate breakthrough innovations into shipping product solutions. **What We Need to See:** * PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. * Expert-level proficiency in PyTorch, JAX, or similar machine learning frameworks. * Sophisticated proficiency with modern LLM/VLM inference stacks, such as vLLM, TensorRT-LLM and SGLang. * A proven track record of training, deploying, or optimizing large-scale DL models in production environments. * Deep familiarity with NVIDIA’s deep learning SDKs, specifically TensorRT and CUDA. * Strong understanding of GPU architecture, the compilation stack, and the ability to debug end-to-end performance across the hardware/software boundary. **Ways to Stand Out from the crowd:** * Deep experience with LLM, VLM, and VLA model optimization, specifically tailored for real-time robotic control, embodied AI, and autonomous decision-making. * Proven track record of implementing low-bit inference * Prior experience writing custom high-performance kernels using CUDA, Triton, or CUTLASS to accelerate non-standard neural network layers and specialized attention mechanisms. * Active contributions to open-source inference and optimization libraries such as vLLM, SGLang and TensorRT-LLM. * Thorough understanding of the unique constraints of real-time robotics, including safety-critical determinism, hardware-in-the-loop (HIL) testing, and ultra-low latency requirements. At NVIDIA, we’re dedicated to making self-driving vehicles a reality and believe this technology can save millions of lives. Join a team of innovative thinkers at one of the world’s most respected technology companies. If you’re motivated, curious, and ready to make a difference, we’d love to meet you! We believe that building self-driving vehicles will be a defining contribution of our generation (e.g. traffic accidents are responsible for ~1.25 million deaths per year world-wide). We have the funding and scale, but we need your help on our team. NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking people in the world working here. If you're entrepreneurial and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/). Applications for this job will be accepted at least until April 25, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.", "summaryDescription" : "Senior DL Software Engineer, Model Optimization and Edge Deployment - Autonomous Vehicles at Nvidia. Skills: Deep Learning Model Optimization, Edge Deployment, LLM/VLM Inference, PyTorch, TensorRT, CUDA. Design and implement SOTA algorithms to make LLM/VLM fast, lean, and reliable enough to power an end-to-end driving stack. Re-architecting models for the edge, ensuring that models capable of complex scene reasoning can operate within the strict latency and safety constraints of an AV compute pl", "postedDate" : "2026-04-21T21:46:16.831", "createdAt" : "2026-05-20T21:46:16.814", "lastUpdated" : "2026-05-20T21:50:37.615", "ingestTimestamp" : "2026-05-20T21:46:16.814", "mongoId" : "6a0dfc0b58b93c861ebec575", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-DL-Software-Engineer--Model-Optimization-and-Edge-Deployment---Autonomous-Vehicles_JR2015398", "salaryAnnualMin" : 184000, "salaryAnnualMax" : 356500, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Speculative Decoding", "Block Diffusion", "KV Cache Streaming", "Prefill–Decode Separation", "Quantization (FP4/FP8)", "Pruning", "Knowledge Distillation", "Model Sharding", "Tensor Parallelism", "Sequence Parallelism", "Attention Kernels", "KV-caching", "Model Profiling", "Layer-by-layer Model Profiling", "Custom High-Performance Kernels", "CUDA", "Triton", "CUTLASS", "Curious", "Entrepreneurial", "Autonomous", "Deep Learning Model Optimization", "Edge Deployment", "LLM/VLM Inference", "PyTorch", "TensorRT", "Model Optimization", "Autonomous Vehicles", "Embodied AI", "Real-time Robotic Execution", "End-to-end Driving Stack", "Complex Scene Reasoning", "Latency Constraints", "Safety Constraints", "Production Deployments", "Model Footprints", "Safety-Critical Accuracy", "Inference Optimization", "Automated Model Sharding", "KV-Caching", "Compute Bottlenecks", "Memory Bottlenecks", "Real-time Execution", "Model Graph Representations", "Deployment Pipelines", "Edge Architectures", "Specialized Accelerators", "Software Interface Architecture", "High-Performance Computing", "Research Translation", "Product Solutions", "LLM/VLM Inference Stacks", "GPU Architecture", "Compilation Stack", "Hardware/Software Boundary Debugging", "Real-time Robotic Control", "Autonomous Decision-Making", "Low-bit Inference", "Non-standard Neural Network Layers", "Specialized Attention Mechanisms", "Open-source Inference Libraries", "Open-source Optimization Libraries", "Real-time Robotics Constraints", "Safety-Critical Determinism", "Hardware-in-the-loop (HIL) Testing", "Ultra-low Latency Requirements", "Real-time Robotics", "JAX", "vLLM", "TensorRT-LLM", "SGLang" ], "skillCount" : 71, "jobCategory" : "engineering", "seniorityLevel" : "senior", "dataQualityScore" : 1.0, "daysOld" : 29, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Autonomous Vehicles" }, { "id" : "6a2c7dc574d8ee00a0950bf0", "title" : "Hardware Engineer (Edge AI)", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 1300000.0, "max" : 2000000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Hardware Engineer in Taiwan, adjusted for the technology industry and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T22:44:02.570", "fingerprint" : "fd4f7dc75ecc3a7e6e6c1c36a303df6ca9abb4af7e8932befeb2c06a06353df2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4187096009", "externalId" : "4187096009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "PCIe, DDR, USB, XGbE, Serdes, MIPI CSI, DSI, DC-DC, VRMs, OrCAD Capture, Allegro", "professionalSkills" : [ "Circuit design", "Component selection", "PCB layout review", "Hardware bring-up", "Hardware debugging", "Hardware validation", "Functional tests", "Performance benchmarks", "Thermal resilience", "EMIC compliance", "Product requirements translation", "Hardware specifications", "Architectural designs", "Test strategies", "Product optimization", "Reliability optimization", "Cost-efficiency optimization", "Manufacturability optimization", "Hardware challenges diagnosis", "Product performance" ], "hardSkillsList" : [ "Schematic capture", "PCB layout", "Power supply design", "Signal integrity analysis", "EMIC compliance testing", "Thermal analysis" ], "softSkillsList" : [ "Problem-solving", "Analytical skills", "Ownership mentality" ], "hardSkills" : [ { "name" : "Schematic capture", "level" : "intermediate" }, { "name" : "PCB layout", "level" : "intermediate" }, { "name" : "Power supply design", "level" : "intermediate" }, { "name" : "Signal integrity analysis", "level" : "intermediate" }, { "name" : "EMIC compliance testing", "level" : "intermediate" }, { "name" : "Thermal analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Analytical skills" }, { "name" : "Ownership mentality" } ], "majorSkills" : "Hardware design, Edge AI hardware, Circuit design, Signal integrity", "majorSkillsList" : [ "Hardware design", "Edge AI hardware", "Circuit design", "Signal integrity" ], "coreResponsibilities" : "Architect hardware, Design hardware, Validate hardware, Capture schematics, Select components, Review PCB layout, Lead hardware bring-up, Debug hardware, Validate hardware functionally, Validate hardware for performance, Validate hardware for thermal resilience, Validate hardware for EMIC compliance, Collaborate with BSP teams, Collaborate with DQA teams, Collaborate with SI/PI teams, Collaborate with mechanical teams, Collaborate with software teams, Collaborate with industrial design teams, Collaborate with manufacturing teams, Translate product requirements, Create hardware specifications, Create architectural designs, Create test strategies, Optimize products for reliability, Optimize products for cost-efficiency, Optimize products for manufacturability, Diagnose hardware challenges, Conquer hardware challenges", "teamCollaboration" : "Cross-functional collaboration; BSP teams; DQA teams; SI/PI teams; Mechanical teams; Software teams; Industrial design teams; Manufacturing teams", "domainKnowledge" : "Edge AI; Surveillance systems; Enterprise storage; High-speed interfaces; Power systems; Signal integrity; EMIC design; ARM-based SoC platforms", "domainList" : [ "edge-ai", "surveillance-systems", "enterprise-storage", "high-speed-interfaces", "power-systems", "signal-integrity", "emic-design", "arm-based-soc-platforms" ], "domainSpecificKnowledge" : [ "Edge AI", "Surveillance systems", "Enterprise storage", "High-speed interfaces", "Power systems", "Signal integrity", "EMIC design", "ARM-based SoC platforms" ], "toolProficiency" : [ "OrCAD Capture", "Allegro", "Oscilloscopes", "Logic analyzers", "Spectrum analyzers", "Network sniffers" ], "communicationSkills" : "Communicate complex ideas", "innovationCreativity" : "Pushing technological boundaries; Challenging the status quo; Crafting elegant solutions", "problemSolvingSkills" : "Problem-solving prowess; Analytical skills; Diagnose complex hardware challenges", "qualificationsBasic" : "3+ years hardware design, 3+ years hardware development, Bachelor's in Electrical Engineering, Master's in Electrical Engineering, Digital circuit design, Analog circuit design, Core electrical engineering principles, High-speed interface design, Signal integrity, Power supply solutions, EDA tools for schematic capture, EDA tools for PCB layout, Hardware debugging tools, Thermal management, EMIC design", "qualificationsPreferred" : "Edge AI engineering experience, Surveillance systems engineering experience, Enterprise storage solutions experience, Video processing hardware exposure, Advanced storage interfaces exposure, ARM-based SoC platforms familiarity, Peripheral ecosystems familiarity, Design for Manufacturing eye, Leveraging AI tools for hardware design, Leveraging AI tools for analysis, Leveraging AI tools for validation, Familiarity with Ubiquiti portfolio", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary In the Edge AI team, you'll be at the forefront of shaping the next generation of surveillance hardware. We're dedicated to pushing technological boundaries, challenging the status quo, and crafting elegant solutions that redefine what's possible. This isn't just a role; it's an invitation to build the future. Responsibilities Architect, design, and rigorously validate cutting-edge hardware for our Edge AI products, tackling everything from core motherboards to robust power systems and high-speed I/ O. Take charge of schematic capture, intelligent component selection, and meticulous PCB layout review, ensuring top-tier integrity, manufacturability, and adherence to critical signal/power requirements. Lead the charge on hardware bring-up, debugging, and comprehensive validation, covering functional tests, performance benchmarks, thermal resilience, and EMI/EMC compliance. Champion cross-functional collaboration with BSP, DQA, SI/PI, mechanical, software, industrial design, and manufacturing teams, driving products from concept to mass production. Translate complex product requirements into precise hardware specifications, robust architectural designs, and comprehensive test strategies for our Edge AI systems. Continuously optimize products for peak reliability, cost-efficiency, and seamless manufacturability, owning the hardware journey end-to-end. Diagnose and conquer complex hardware challenges, from initial development kinks to in-field anomalies, ensuring rock-solid product performance. Requirement Proven mastery in digital and analog circuit design, backed by a strong command of core electrical engineering principles. Deep expertise in high-speed interface design (PCIe, DDR, USB, XGbE, Serdes, MIPI CSI, DSI) and critical signal integrity. Hands-on experience architecting robust power supply solutions (DC-DC, VRMs) for embedded systems. Proficiency with industry-standard EDA tools for schematic capture and PCB layout (e.g., OrCAD Capture, Allegro). Strong proficiency and command of hardware debugging tools – oscilloscopes, logic analyzers, spectrum analyzers, network sniffers – you know your way around a lab. Solid understanding of thermal management and EMI/EMC design for compliance. A Bachelor’s or Master’s degree in Electrical Engineering or a related technical field. 3+ years of hands-on, impactful hardware design and development experience. Exceptional problem-solving prowess, razor-sharp analytical skills, and the ability to communicate complex ideas with clarity and conviction. Preferred Qualifications Direct experience in engineering Edge AI, surveillance systems, or enterprise storage solutions. Exposure to video processing hardware or advanced storage interfaces (SATA/NVMe). Familiarity with ARM-based SoC platforms and their intricate peripheral ecosystems. A keen eye for Design for Manufacturing (DFM). You’re a self-starter with a strong ownership mentality, thriving in a fast-paced, ambiguous environment where you can truly make an impact. A proactive mindset in leveraging AI-powered tools and methodologies to enhance hardware design, analysis, and validation efficiency. You're already familiar with the Ubiquiti portfolio and what makes us tick.", "summaryDescription" : "Hardware Engineer (Edge AI) at Ubiquiti. Skills: Hardware design, Edge AI hardware, Circuit design, Signal integrity. Architect hardware. Design hardware", "postedDate" : "2026-06-14T19:11:18.402", "createdAt" : "2026-06-14T19:11:18.402", "lastUpdated" : "2026-06-15T22:44:02.570", "ingestTimestamp" : "2026-06-14T19:11:18.402", "mongoId" : "6a2c7dc574d8ee00a0950bf0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Schematic capture", "PCB layout", "Power supply design", "Signal integrity analysis", "EMIC compliance testing", "Thermal analysis", "Problem-solving", "Analytical skills", "Ownership mentality", "Hardware design", "Edge AI hardware", "Circuit design", "Signal integrity", "Component selection", "PCB layout review", "Hardware bring-up", "Hardware debugging", "Hardware validation", "Functional tests", "Performance benchmarks", "Thermal resilience", "EMIC compliance", "Product requirements translation", "Hardware specifications", "Architectural designs", "Test strategies", "Product optimization", "Reliability optimization", "Cost-efficiency optimization", "Manufacturability optimization", "Hardware challenges diagnosis", "Product performance", "Edge AI", "Surveillance systems", "Enterprise storage", "High-speed interfaces", "Power systems", "EMIC design", "ARM-based SoC platforms", "OrCAD Capture", "Allegro", "Oscilloscopes", "Logic analyzers", "Spectrum analyzers", "Network sniffers" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c5f4074d8ee00a08ea5a9", "title" : "Senior Deployment Engineer", "company" : "Nscale", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Deployment Engineer in the United States, adjusted for seniority and industry." }, "location" : "Seattle", "locations" : [ "Seattle" ], "timestamp" : "2026-06-14T22:33:16.411", "fingerprint" : "265918fd6f4783a16b4b7d47807585608c50d5c032802b11a5ee85bf117fb3ef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/nscaleoperationsukltd/jobs/4809267101", "externalId" : "4809267101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Senior", "technicalSkills" : "GPU, InfiniBand, RoCE, Ethernet, Linux, NCCL, CUDA, RDMA, Python, Ansible, Terraform, Bash", "professionalSkills" : [ "Infrastructure engineering", "Hardware deployment", "Data center operations", "Systems software", "AI infrastructure", "HPC environments" ], "hardSkillsList" : [ "Firmware configuration", "Network configuration", "Performance validation", "Hardware troubleshooting", "Firmware troubleshooting", "Fabric troubleshooting" ], "hardSkills" : [ { "name" : "Firmware configuration", "level" : "intermediate" }, { "name" : "Network configuration", "level" : "intermediate" }, { "name" : "Performance validation", "level" : "intermediate" }, { "name" : "Hardware troubleshooting", "level" : "intermediate" }, { "name" : "Firmware troubleshooting", "level" : "intermediate" }, { "name" : "Fabric troubleshooting", "level" : "intermediate" } ], "majorSkills" : "GPU Infrastructure, Cluster Deployment, High-speed Networking", "majorSkillsList" : [ "GPU Infrastructure", "Cluster Deployment", "High-speed Networking" ], "coreResponsibilities" : "Execute cluster bringup, Validate BIOS/MC/firmware, Validate GPU health, Perform rack integration, Validate power, Validate cabling, Validate airflow, Bring up network fabrics, Validate network fabrics, Configure network connectivity, Validate network connectivity, Run cluster burn-in, Run stress testing, Validate GPU performance, Validate node performance, Troubleshoot hardware issues, Troubleshoot firmware issues, Troubleshoot fabric issues, Contribute to automation, Improve deployment playbooks, Improve documentation, Identify reliability issues, Drive corrective actions, Turn ad hoc deployments into repeatable systems, Work with networking teams, Work with systems software teams, Work with data center teams, Coordinate with vendors, Support capacity expansion", "teamCollaboration" : "Cross-functional collaboration; Work with networking; Work with systems software; Work with data center teams; Coordinate with hardware vendors", "domainKnowledge" : "AI infrastructure; HPC environments; GPU clusters; Large-scale AI training; AI inference; Frontier AI workloads; High-speed networking; Distributed systems performance; High-density power; Cooling environments", "domainList" : [ "ai-infrastructure", "hpc-environments", "gpu-clusters", "large-scale-ai-training", "ai-inference", "frontier-ai-workloads", "high-speed-networking", "distributed-systems-performance", "high-density-power", "cooling-environments" ], "domainSpecificKnowledge" : [ "AI infrastructure", "HPC environments", "GPU clusters", "Large-scale AI training", "AI inference", "Frontier AI workloads", "High-speed networking", "Distributed systems performance", "High-density power", "Cooling environments" ], "documentationSkills" : "Improve documentation", "problemSolvingSkills" : "Troubleshoot hardware; Troubleshoot firmware; Troubleshoot fabric; Troubleshoot distributed systems performance", "specialRequirements" : "Travel Required, Onsite work required", "outcomesObjectives" : "Clusters brought online quickly; Clusters brought online correctly; Performance baselines meet expectations; Performance baselines exceed expectations; Deployment processes faster; Deployment processes reliable; Build foundation for scaled growth", "qualificationsBasic" : "5-8+ years infrastructure engineering, 5-8+ years hardware deployment, 5-8+ years data center operations, Hands-on GPU servers deployment, High-speed networking experience, Linux systems knowledge, Troubleshoot distributed systems performance, Comfortable working onsite", "qualificationsPreferred" : "AI/ML infrastructure experience, HPC environments experience, NCCL familiarity, CUDA familiarity, RDMA familiarity, Automation experience, Python automation experience, Ansible automation experience, Terraform automation experience, Bash automation experience, High-density power experience, Cooling environments experience", "workSiteFlexibility" : "Onsite", "rawDescription" : ". Senior Deployment Engineer – GPU Infrastructure Bringup Location: United States (Travel Required) Team: Infrastructure Reports to: Head of Infrastructure About Us We are building next-generation AI infrastructure from the ground up. Our mission is to deliver highly performant, reliable, and scalable GPU clusters purpose-built for large-scale AI training and inference. As a startup, we operate with urgency, ownership, and a bias toward action. We are assembling the foundational infrastructure that will power frontier AI workloads—and we’re looking for engineers who want to build it from zero to scale. The Role We are hiring a Senior Deployment Engineer to lead hands-on bringup of GPU clusters across our data center environments. You will own the execution of node, rack, and network deployment, ensuring clusters are validated, performant, and production-ready. This role is deeply technical and execution-focused. You will be in the details—cabling racks, validating firmware, tuning fabrics, debugging performance—and helping us build repeatable processes as we scale. What You’ll Do Cluster Deployment & Bringup Execute end-to-end bringup of GPU nodes and racks from installation to production readiness. Validate BIOS/BMC/firmware configurations and GPU health. Perform rack-level integration including power, cabling, and airflow validation. Bring up and validate high-speed network fabrics (InfiniBand, RoCE, 100–400G Ethernet). Network & Performance Validation Configure and validate leaf/spine network connectivity. Run cluster-wide burn-in and stress testing. Validate GPU-to-GPU and node-to-node performance (NCCL, RDMA, GPUDirect). Troubleshoot hardware, firmware, and fabric-level issues. Automation & Process Contribute to automation for provisioning and cluster validation. Improve deployment playbooks and documentation. Identify reliability issues early and drive corrective actions. Help turn ad hoc deployments into repeatable systems. Cross-Functional Collaboration Work closely with networking, systems software, and data center teams. Coordinate with hardware vendors to resolve bringup issues. Support rapid capacity expansion as we scale. What We’re Looking For Required 5–8+ years in infrastructure engineering, hardware deployment, or data center operations. Hands-on experience deploying GPU servers (HGX/DGX or similar platforms). Experience with high-speed networking (InfiniBand, RoCE, Ethernet fabrics). Strong Linux systems knowledge. Experience troubleshooting distributed systems performance issues. Comfortable working onsite in data center environments as needed. Strongly Preferred Experience in AI/ML infrastructure or HPC environments. Familiarity with NCCL, CUDA, RDMA. Automation experience (Python, Ansible, Terraform, Bash). Experience in high-density power and cooling environments. What Success Looks Like Clusters are brought online quickly and correctly. Performance baselines meet or exceed expectations. Deployment processes become faster and more reliable over time. You help build the foundation for scaled infrastructure growth. For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.", "summaryDescription" : "Senior Deployment Engineer at Nscale. Skills: GPU Infrastructure, Cluster Deployment, High-speed Networking. Execute cluster bringup. Validate BIOS/MC/firmware", "postedDate" : "2026-06-12T22:04:28.408", "createdAt" : "2026-06-12T22:04:28.408", "lastUpdated" : "2026-06-14T22:33:16.411", "ingestTimestamp" : "2026-06-12T22:04:28.408", "mongoId" : "6a2c5f4074d8ee00a08ea5a9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Firmware configuration", "Network configuration", "Performance validation", "Hardware troubleshooting", "Firmware troubleshooting", "Fabric troubleshooting", "GPU Infrastructure", "Cluster Deployment", "High-speed Networking", "Infrastructure engineering", "Hardware deployment", "Data center operations", "Systems software", "AI infrastructure", "HPC environments", "GPU clusters", "Large-scale AI training", "AI inference", "Frontier AI workloads", "High-speed networking", "Distributed systems performance", "High-density power", "Cooling environments" ], "skillCount" : 23, "jobCategory" : "operations", "jobSubcategory" : "ai-infrastructure-operations", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "id" : "6a2c5e4374d8ee00a08e294e", "title" : "Senior Vehicles Specialist", "company" : "Bolt Technology", "industry" : "Technology", "salary" : { "min" : 1150000.0, "max" : 1650000.0, "currency" : "CZK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Vehicles Specialist in Prague, Czech Republic, adjusted for the technology industry and company size." }, "location" : "Prague, Czech Republic", "locations" : [ "Prague", "Czech Republic" ], "timestamp" : "2026-06-15T00:28:28.631", "fingerprint" : "dafab4ba95ee2b551805f544429c18a0c3bd78a570add2ced9936052d0ccd4bd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://bolt.eu/en/careers/positions/8535437002?gh_jid=8535437002", "externalId" : "8535437002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Prague", "country" : "Czech Republic", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0874654,14.4212535" } ], "locationText" : "Prague, Czech Republic", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "majorSkills" : "Vehicle operations, Fleet management", "majorSkillsList" : [ "Vehicle operations", "Fleet management" ], "domainKnowledge" : "Vehicle maintenance; City logistics", "domainList" : [ "vehicle-maintenance", "city-logistics" ], "domainSpecificKnowledge" : [ "Vehicle maintenance", "City logistics" ], "outcomesObjectives" : "Ensure smooth service; Ensure high vehicle availability; Ensure smooth customer experience", "qualificationsBasic" : "Fluent in Czech, Intermediate in English", "qualificationsPreferred" : "Interest in cars, Basic vehicle maintenance knowledge, Understanding of operational workflows", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "We are looking for a Senior Vehicles Specialist in Prague to manage Bolt Drive's fleet and daily operations. About us With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people. We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, national origin, age, or disability. Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission! About the role As a Senior Vehicles Specialist, you will assist the Fleet Manager with vehicle operations. You will also carry out daily city logistics, document and key management, authority communication, and seasonal tyre changes to ensure a smooth service and high vehicle availability. Main tasks and responsibilities: Supporting Fleet Manager with vehicle in-fleet and defleet operations. Handling daily city operations in Prague to ensure the highest vehicle availability and a smooth customer experience. Responding to authorities. Managing spare keys, vehicle documents and other operational inventory. Coordinating seasonal tyre change project. About you: You have a passion and interest in cars. You’re organised, detail-oriented, and comfortable owning end-to-end processes. You understand basic vehicle maintenance and operational workflows. You stay calm in a dynamic, fast-paced environment and solve issues quickly. You are fluent in Czech and intermediate in English. Experience is great, but what we really look for is drive, intelligence, and integrity. So even if you don’t tick every box, please consider applying! Why you’ll love it here: Play a direct role in shaping the future of mobility. Work in fast-moving teams with some of the smartest people in the world. Accelerate your professional growth with unique career opportunities. Take advantage of Bolt credits to ride our scooter and use our ride-hailing services for free. Enjoy various team events to get to know your colleagues. *Some perks may differ depending on your location and role. #LI-Hybrid", "summaryDescription" : "Senior Vehicles Specialist at Bolt Technology. Skills: Vehicle operations, Fleet management", "postedDate" : "2026-06-12T21:59:06.000", "createdAt" : "2026-06-12T21:59:06.000", "lastUpdated" : "2026-06-15T00:28:28.631", "ingestTimestamp" : "2026-06-12T21:59:06.000", "mongoId" : "6a2c5e4374d8ee00a08e294e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Vehicle operations", "Fleet management", "Vehicle maintenance", "City logistics" ], "skillCount" : 4, "jobCategory" : "other", "jobSubcategory" : "bolt-drive", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2a553074d8ee00a0606105", "title" : "Counsel, Product & Commercial (Rideshare & Autonomous Vehicles)", "company" : "Lyft", "industry" : "Technology", "salary" : { "min" : 176000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-14T20:01:39.489", "fingerprint" : "49d139bc87def9a1f7bbf354bfe56dd4247ebd896b285fdb9f01e1fae4a2553a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://app.careerpuck.com/job-board/lyft/job/8584969002?gh_jid=8584969002", "externalId" : "8584969002", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product counseling", "Commercial transactions", "Legal advisor", "Thought leader", "Risk management", "Legal strategies" ], "hardSkillsList" : [ "Regulatory compliance", "Consumer protection", "Privacy issues", "Safety issues", "Contract interpretation", "Product legal guidance" ], "softSkillsList" : [ "Strategic", "Entrepreneurial", "Resourceful", "Problem-solver", "Judgment", "Business-minded", "Grace under pressure" ], "hardSkills" : [ { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Consumer protection", "level" : "intermediate" }, { "name" : "Privacy issues", "level" : "intermediate" }, { "name" : "Safety issues", "level" : "intermediate" }, { "name" : "Contract interpretation", "level" : "intermediate" }, { "name" : "Product legal guidance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Strategic" }, { "name" : "Entrepreneurial" }, { "name" : "Resourceful" }, { "name" : "Problem-solver" }, { "name" : "Judgment" }, { "name" : "Business-minded" }, { "name" : "Grace under pressure" } ], "majorSkills" : "Autonomous vehicles, Product development, Commercial partnerships", "majorSkillsList" : [ "Autonomous vehicles", "Product development", "Commercial partnerships" ], "coreResponsibilities" : "Serve as strategic thought leader, Shape autonomous vehicle deployment, Guide marketplace integration, Guide third-party platform partnerships, Mitigate regulatory issues, Mitigate consumer protection issues, Mitigate privacy issues, Mitigate safety issues, Provide full-lifecycle product legal guidance, Translate contract terms, Translate regulatory demands, Develop actionable product frameworks, Develop technical implementation strategies, Lead long-term initiatives, Drive autonomous mobility roadmap, Coordinate across legal silos, Coordinate across business silos, Ensure compliant execution, Advance Lyft priorities, Develop legal strategies, Drive legal strategies, Improve internal processes, Calibrate legal risk approach, Satisfy product iteration demands", "teamCollaboration" : "Partner with AV teams; Partner with Product teams; Partner with Engineering teams; Partner with Business Development teams; Partner with cross-functional organizations; Coordinate across legal silos; Coordinate across business silos; Collaborate with legal team members", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Autonomous vehicles; Consumer-focused partnerships; Emerging technologies; Product development; Regulatory demands; Marketplace integration; Third-party platforms", "domainList" : [ "autonomous-vehicles", "consumer-focused-partnerships", "emerging-technologies", "product-development", "regulatory-demands", "marketplace-integration", "third-party-platforms" ], "domainSpecificKnowledge" : [ "Autonomous vehicles", "Consumer-focused partnerships", "Emerging technologies", "Product development", "Regulatory demands", "Marketplace integration", "Third-party platforms" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Problem-solving capabilities", "specialRequirements" : "Work in-office 3 days/week, Work from anywhere 4 weeks/year", "qualificationsBasic" : "5+ years experience, J.D. from accredited law school, Active U.S. state bar membership, Product counseling experience, Commercial transactions experience, Legal counsel on product development, Legal counsel on emerging technologies, Legal counsel on AV initiatives, Experience at tech company, Experience in regulated industry, Craft creative legal solutions, Handle complex commercial negotiations", "qualificationsPreferred" : "Experience in highly regulated industry", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking an experienced, strategic, and self-motivated attorney to join the Product & Commercial Legal Team to focus primarily on Lyft's autonomous vehicles (AV) initiatives and strategic consumer-focused partnerships. You’ll serve as a trusted legal advisor and thought leader, partnering closely with our Autonomous Vehicles, Product, Engineering, and Business Development teams to guide the development, commercialization, and deployment of cutting-edge AV technologies and product integrations. The legal issues you’ll encounter are revolutionary and always evolving. The successful candidate will be a pragmatic, entrepreneurial, and resourceful problem-solver who can build strong relationships, navigate uncharted territory, and craft creative legal frameworks where no obvious playbook exists. Responsibilities: Serve as a strategic thought leader to AV and Partnership product and business teams to actively shape and guide Lyft’s approach to autonomous vehicle deployment, marketplace integration, and third-party platform partnerships. Partner closely with cross-functional organizations—including Product, Engineering, Marketing, Operations, Public Policy, and Comms—to recognize and mitigate regulatory, consumer protection, privacy, and safety issues related to the development and commercialization of AV and partnership-driven products. Provide full-lifecycle product legal guidance, translating complex contract terms and regulatory demands into actionable product frameworks and technical implementation strategies. Lead and contribute to high-impact, long-term initiatives that drive Lyft’s broader autonomous mobility roadmap, coordinating across legal and business silos to ensure timely, compliant execution of public-facing programs. Advance Lyft’s priorities by connecting issues across business leaders and subject matter experts to develop and drive comprehensive, long-term legal strategies that balance innovation with risk management. Collaborate with legal team members to improve internal processes, calibrate the company’s approach to legal risk, and ensure rapid product iteration demands are satisfied. Experience: 5+ years of experience working in a top-tier law firm or in-house legal department, with a strong focus on product counseling or commercial transactions. J. D. from an accredited law school and active membership in at least one U. S. state bar. Experience providing legal counsel on product development, emerging technologies, or AV initiatives at a tech company or other highly regulated, innovation-driven industry. Comfort navigating uncharted territory—able to craft creative, practical legal solutions where the rules are unclear and there is no established precedent. Demonstrated experience handling high-stakes, structurally complex commercial negotiations with sophisticated counterparties. Excellent problem-solving capabilities, independent judgment, and communication skills, with a proven ability to provide firm but well-reasoned, business-minded advice to product and engineering leaders. Ability to think quickly on your feet, convey grace under pressure, and simultaneously manage complex product launch timelines and shifting priorities. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000 - $220,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.", "summaryDescription" : "Counsel, Product & Commercial (Rideshare & Autonomous Vehicles) at Lyft. Skills: Autonomous vehicles, Product development, Commercial partnerships. Serve as strategic thought leader. Shape autonomous vehicle deployment", "postedDate" : "2026-06-11T17:26:59.340", "createdAt" : "2026-06-11T17:26:59.340", "lastUpdated" : "2026-06-14T20:01:39.489", "ingestTimestamp" : "2026-06-11T17:26:59.340", "mongoId" : "6a2a553074d8ee00a0606105", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 176000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regulatory compliance", "Consumer protection", "Privacy issues", "Safety issues", "Contract interpretation", "Product legal guidance", "Strategic", "Entrepreneurial", "Resourceful", "Problem-solver", "Judgment", "Business-minded", "Grace under pressure", "Autonomous vehicles", "Product development", "Commercial partnerships", "Product counseling", "Commercial transactions", "Legal advisor", "Thought leader", "Risk management", "Legal strategies", "Roadmap planning", "Consumer-focused partnerships", "Emerging technologies", "Regulatory demands", "Marketplace integration", "Third-party platforms" ], "skillCount" : 28, "jobCategory" : "product", "jobSubcategory" : "product-&-commercial,-compliance,-ip-and-osac", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a25145374d8ee00a00bb385", "title" : "Deployment Execution Engineer, Robotics Deployment Packaging and Innovation", "company" : "Amazon Development Centre Italy SRL", "industry" : "Project/Program/Product Management--Non-Tech, Ops Engineering, subsidiaries", "salary" : { "min" : 47100.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vercelli, Piedmont, ITA", "locations" : [ "Vercelli, Piedmont, ITA" ], "timestamp" : "2026-06-15T09:56:36.579", "fingerprint" : "f9a47ed335fcb5b5bba90b31eb00b94073000eff221738e65da5abcd74b49a0f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10441617/apply", "externalId" : "7f4eac71-1d42-4c2f-9388-b37a2e1c73be", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vercelli", "state" : "Piedmont", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.5553827,8.3462837" } ], "locationText" : "Vercelli, Piedmont, Italy", "employmentType" : "FULL_TIME", "technicalSkills" : "AutoCAD, VBA, SQL", "professionalSkills" : [ "Project delivery", "Deployment execution", "Technical problem-solving", "Process automation", "Material handling systems", "Robotic innovations", "Logistics", "Supply chain", "Operations management" ], "hardSkillsList" : [ "Automation deployment", "Maintenance planning", "Scheduling", "Auditing", "CMMS software", "Technical documentation", "Work Instructions authoring" ], "hardSkills" : [ { "name" : "Automation deployment", "level" : "intermediate" }, { "name" : "Maintenance planning", "level" : "intermediate" }, { "name" : "Scheduling", "level" : "intermediate" }, { "name" : "Auditing", "level" : "intermediate" }, { "name" : "CMMS software", "level" : "intermediate" }, { "name" : "Technical documentation", "level" : "intermediate" }, { "name" : "Work Instructions authoring", "level" : "intermediate" } ], "majorSkills" : "Robotics Deployment, Automation Technologies, Deployment Execution", "majorSkillsList" : [ "Robotics Deployment", "Automation Technologies", "Deployment Execution" ], "coreResponsibilities" : "Own creation, validation, and improvement of deployment deliverables, Support evaluation and delivery of large-scale automation technologies, Coordinate cross-functional teams, Ensure successful project delivery, Evaluate and implement state-of-the-art material handling systems, Evaluate and implement robotic innovations, Ensure deployment deliverables are delivered on time, Ensure deployment deliverables are within the timeline, Ensure deployment deliverables are to Amazon's quality standards, Provide guidance for complex automation deployments, Provide troubleshooting for complex automation deployments, Drive continuous improvement initiatives, Optimize deployment processes", "teamCollaboration" : "Cross-functional teams; Internal stakeholders; External contractors; Product teams; Safety teams; Vendor teams", "projectManagementSkills" : [ "Project delivery", "Deployment execution" ], "domainKnowledge" : "Logistics process automation; Storage solutions; Material handling systems; Robotics; Warehouse automation; Fulfilment network; Amazon Robotics", "domainList" : [ "logistics-process-automation", "storage-solutions", "material-handling-systems", "robotics", "warehouse-automation", "fulfilment-network", "amazon-robotics" ], "domainSpecificKnowledge" : [ "Logistics process automation", "Storage solutions", "Material handling systems", "Robotics", "Warehouse automation", "Fulfilment network", "Amazon Robotics" ], "toolProficiency" : [ "CMMS software", "AutoCAD", "VBA", "SQL" ], "communicationSkills" : "Technical documentation; Work Instructions; Standard operating procedures", "documentationSkills" : "Technical documentation; Work Instructions; Standard operating procedures", "innovationCreativity" : "Robotic innovations", "problemSolvingSkills" : "Technical problem-solving; Troubleshooting", "specialRequirements" : "~50% travel across Europe, Occasional international travel", "outcomesObjectives" : "Ensure deployment deliverables are delivered on time; Ensure deployment deliverables are within the timeline; Ensure deployment deliverables are to Amazon's quality standards", "qualificationsBasic" : "Bachelor's degree, Experience in planning, scheduling and auditing maintenance activities, Experience working with CMMS software, Experience in project/program delivery or deployment execution, Knowledge of automation technologies, material handling systems and robotics, Problem-solving abilities, Experience authoring technical documentation", "qualificationsPreferred" : "Knowledge of AutoCAD, VBA, and SQL at the intermediate level, Experience working with and managing third party vendors, Experience with Six Sigma, lean manufacturing, Experience with robotic deployments in warehouse or fulfilment environments, Experience working and managing external contractors and vendors, Background in logistics, supply chain or operations, Experience with Amazon Robotics or similar automation platforms, Experience delivering training to contractors or third-party teams on-site", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is seeking an experienced business-oriented Deployment Engineer to support the delivery of large-scale and highly complex logistic process automation and storage initiatives for the continued expansion of our fulfilment network. Ideal candidates will have extensive experience with automation deployments combined with a strong technical problem-solving ability – often occurring across multiple sites and technologies. The role requires a holistic view of all aspects of an Amazon Warehouse (Fulfilment Centre, Inbound Cross-Dock, Sortation Centre or Distribution Centre) while focusing on its automation technologies and storage solutions. This person will be responsible for evaluating and delivering state-of-the-art material handling systems and robotic innovations while coordinating internal teams and external contractors in order to effectively support the launching of new automated buildings and expansions in existing sites. Amazon’s culture encourages an entrepreneurial approach and expects engineers and managers alike to take a high level of ownership in solving complex problems in a fast-paced environment. The role could be based in London, Madrid, Barcelona or Vercelli with ~50% travel across Europe during peak deployment season, with occasional international travel. The applicable collective agreement for this role is CCNL Telecomunicazioni. The position is classified at level C7 or above, depending on the candidate’s skills, competences and experience. The minimum gross annual base salary for this position is listed below. The base salary listed corresponds to working on a full-time basis. For part-time hours, the salary will be pro-rated. Amazon reserves the right to offer a higher salary and/or level, depending on the candidate's skills, competencies, and experience. Amazon's package may include a sign on payment. In addition, the candidate may be eligible to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA. Your recruiting team will share final salary and any restricted stock unit scheme if applicable, depending on skills and requirements. In addition to statutory benefits, and those applicable to the relevant CBA, company supplementary benefits may apply subject to further terms. Italy - 47,100 Euros gross annually. Key job responsibilities - Own the creation, validation, and continuous improvement of deployment deliverables (such as Work Instructions and 3PA training) across multiple technologies, ensuring they are complete, standardized, and ready for global scale. - Support evaluation and delivery of large-scale automation technologies including conveyance, sortation and robotics systems, often occurring across multiple sites at a time - Coordinate cross-functional teams including internal stakeholders and external contractors to ensure successful project delivery - Evaluate and implement state-of-the-art material handling systems and robotic innovations - Ensure deployment deliverables are delivered on time, within the timeline, and to Amazon's quality standards - Provide guidance and troubleshooting for complex automation deployments - Drive continuous improvement initiatives to optimize deployment processes - Collaborate with product, safety, deployment, quality and vendor teams throughout the project lifecycle A day in the life You will be interacting daily with a wide variety of functional teams and individuals at all levels of the organization and in multiple time zones. You will conduct multiple weekly meetings with internal teams, stakeholders and vendors to execute deliverables. You’ll be liaising with subject matter experts from across the organization, diving deep in the technologies we deploy; you’ll build on these relationships to refine and improve our processes. No two days will be the same in our fast-moving environment yet you’ll discover endless opportunities to grow along the way as part of a tight-knit and supportive team. About the team Robotics Delivery & Packaging Innovation is a diverse and multi-talented team with a proven track record of overcoming challenging technical problems to deliver Amazon’s leading-edge robotics technologies in its fulfilment, transportation, and delivery network across the world. Our high-performing team blends engineering know-how, problem solving, curiosity, innovation, leadership, and effective communication to deliver positive results for our customers. Basic Qualifications: - Bachelor's degree - Experience in planning, scheduling and auditing maintenance activities - Experience working with CMMS software - Experience in project/program delivery or deployment execution - Knowledge of automation technologies, material handling systems and robotics - Strong problem-solving abilities - Experience authoring technical documentation, particularly detailed and user-focused Work Instructions or standard operating procedures (SOPs) for field execution Preferred Qualifications: - Knowledge of AutoCAD, VBA, and SQL at the intermediate level - Experience working with and managing third party vendors - Experience with Six Sigma, lean manufacturing - Experience with robotic deployments in warehouse or fulfilment environments - Experience working and managing external contractors and vendors - Background in logistics, supply chain or operations - Experience with Amazon Robotics or similar automation platforms - Experience delivering training to contractors or third-party teams on-site, ensuring readiness and adherence to deployment standards (e.g., 3PA training) 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" : "Deployment Execution Engineer, Robotics Deployment Packaging and Innovation at Amazon Development Centre Italy SRL. Skills: Robotics Deployment, Automation Technologies, Deployment Execution. Own creation, validation, and improvement of deployment deliverables. Support evaluation and delivery of large-scale automation technologies", "postedDate" : "2026-06-13T18:43:38.595", "createdAt" : "2026-06-13T18:43:38.595", "lastUpdated" : "2026-06-15T09:56:36.579", "ingestTimestamp" : "2026-06-13T18:43:38.595", "mongoId" : "6a25145374d8ee00a00bb385", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10441617/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Automation deployment", "Maintenance planning", "Scheduling", "Auditing", "CMMS software", "Technical documentation", "Work Instructions authoring", "Robotics Deployment", "Automation Technologies", "Deployment Execution", "Project delivery", "Deployment execution", "Technical problem-solving", "Process automation", "Material handling systems", "Robotic innovations", "Logistics", "Supply chain", "Operations management", "Logistics process automation", "Storage solutions", "Robotics", "Warehouse automation", "Fulfilment network", "Amazon Robotics", "AutoCAD", "VBA", "SQL" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26d9a", "title" : "Software Development Engineer, AWS Billing - Insights & Optimization", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 80000.0, "max" : 191800.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-16T06:45:04.166", "fingerprint" : "03aeeec789646e109871954bffe54b661fd9b5cffcfe8bdc411b50402620ff10", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448906/apply", "externalId" : "d08c59a6-f16b-4ac4-a203-b4a8d092a8ad", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Java, Python, C++, Go, JavaScript, TypeScript, SQL, NoSQL, AWS, Azure, GCP, Docker, Kubernetes, Linux, Distributed systems, Machine learning, Data science, API design, Microservices", "professionalSkills" : [ "System design", "Problem solving", "Analytical thinking" ], "hardSkillsList" : [ "Software development", "Data structures", "Algorithms", "System architecture" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "System architecture", "level" : "intermediate" } ], "majorSkills" : "Software development, Cloud computing, Distributed systems", "majorSkillsList" : [ "Software development", "Cloud computing", "Distributed systems" ], "coreResponsibilities" : "Design, develop, test, deploy, maintain software solutions, Write high-quality, maintainable code, Collaborate with cross-functional teams, Participate in code reviews, Troubleshoot and resolve production issues, Contribute to system architecture discussions, Mentor junior engineers", "teamCollaboration" : "Cross-functional teams; Agile methodologies", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "AWS Billing; Insights; Optimization", "domainList" : [ "aws-billing", "insights", "optimization" ], "domainSpecificKnowledge" : [ "AWS Billing", "Insights", "Optimization" ], "toolProficiency" : [ "Git", "JIRA", "Docker", "Kubernetes" ], "communicationSkills" : "Technical documentation; Presentations", "documentationSkills" : "Technical writing; Architecture diagrams", "continuousLearning" : "Professional development; Training opportunities", "innovationCreativity" : "Develop innovative solutions", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Improve system performance; Enhance user experience; Deliver high-quality software", "qualificationsBasic" : "Bachelor's degree or equivalent practical experience, 3+ years of experience in software development", "qualificationsPreferred" : "Master's degree or PhD, Experience with large-scale distributed systems, Experience with cloud computing platforms (AWS, Azure, GCP), Experience with machine learning or data science", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Imagine helping every AWS customer — from startups to enterprises — spend less and do more on AWS. That's what Insights & Optimization builds. Our products turn cloud cost complexity into clarity, helping customers optimize their spend and reinvest savings back into innovation. As an SDE, you'll design and deliver the systems that make this possible — high-scale data pipelines, intelligent optimization engines, and intuitive experiences that drive real business outcomes. Key job responsibilities • Innovating and delivering creative SW Designs to develop new services, solve operational problems, drive improvements in developer velocity, or positively impact operational safety • Writing requirements capturing documents, design documents, integration test plans, and deployment plans • Communicating status and progress of deliverables to schedule, and sharing learnings/ innovations with your team and stakeholders • Building and leveraging multi-agent semi- or fully autonomous spec-driven software development pipelines Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - AI fluency - leveraging agentic AI in daily software development and developing autonomous software development agents - AI fluency/Agentic AI - spec driven development Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Proven experience in leveraging a multi-agent semi- or fully autonomous spec-driven software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 114,800.00 - 191,800.00 CAD annually", "summaryDescription" : "Software Development Engineer, AWS Billing - Insights & Optimization at Amazon Development Centre Canada ULC. Skills: Software development, Cloud computing, Distributed systems. Design, develop, test, deploy, maintain software solutions. Write high-quality, maintainable code", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:59:54.102", "lastUpdated" : "2026-06-16T06:45:04.166", "ingestTimestamp" : "2026-06-15T21:59:54.102", "mongoId" : "6a305649f292fd229cf26d9a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448906/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Software development", "Data structures", "Algorithms", "System architecture", "Cloud computing", "Distributed systems", "System design", "Problem solving", "Analytical thinking", "Agile", "Scrum", "AWS Billing", "Insights", "Optimization", "Git", "JIRA", "Docker", "Kubernetes" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a766874d8ee00a065c1c6", "title" : "Sr Software Engineer, Edge", "company" : "Cribl", "industry" : "Technology", "salary" : { "min" : 160000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "US - California", "locations" : [ "US - California" ], "timestamp" : "2026-06-14T02:39:18.664", "fingerprint" : "b9dee619a2c986fee1d56771566c29f6626da865a050ad192bd2c7e8ea46fddb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://cribl.io/job-detail/?gh_jid=6000054004", "externalId" : "6000054004", "industryFunction" : { }, "structuredLocations" : [ { "state" : "California", "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "California, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "TypeScript, Node.js, Docker, Kubernetes, AWS, Azure, GCP, Mocha", "professionalSkills" : [ "Data collection", "Data management", "Data analysis", "Feature development", "Automated testing", "Regression tests", "SaaS support", "System design" ], "hardSkillsList" : [ "Operating system fundamentals", "Memory management", "CPU architecture", "CPU scheduling", "Filesystems", "Process lifecycles", "Networking", "Troubleshooting", "Debugging", "Code quality", "Testable code", "AI tools", "Code optimization", "Data intensive applications", "Data streams processing" ], "softSkillsList" : [ "Speak your mind" ], "hardSkills" : [ { "name" : "Operating system fundamentals", "level" : "intermediate" }, { "name" : "Memory management", "level" : "intermediate" }, { "name" : "CPU architecture", "level" : "intermediate" }, { "name" : "CPU scheduling", "level" : "intermediate" }, { "name" : "Filesystems", "level" : "intermediate" }, { "name" : "Process lifecycles", "level" : "intermediate" }, { "name" : "Networking", "level" : "intermediate" }, { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Code quality", "level" : "intermediate" }, { "name" : "Testable code", "level" : "intermediate" }, { "name" : "AI tools", "level" : "intermediate" }, { "name" : "Code optimization", "level" : "intermediate" }, { "name" : "Data intensive applications", "level" : "intermediate" }, { "name" : "Data streams processing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Speak your mind" } ], "majorSkills" : "Edge computing, Data collection, Backend development, Node.js, TypeScript", "majorSkillsList" : [ "Edge computing", "Data collection", "Backend development", "Node.js", "TypeScript" ], "coreResponsibilities" : "Design software for data collection agents, Build software for data collection agents, Optimize software for data collection agents, Collaborate closely with UX designers, Collaborate closely with Product Managers, Collaborate closely with fellow engineers, Translate feature requirements into user experiences, Own the development lifecycle, Deliver clean, efficient, and reliable code, Develop automated tests, Develop comprehensive test plans, Maintain and support SaaS products, Participate in 24x7 on-call rotations", "teamCollaboration" : "UX designers; Product Managers; Fellow engineers; Cross-functional teams", "projectManagementSkills" : [ "Development lifecycle" ], "domainKnowledge" : "Operating system fundamentals; Telemetry infrastructure; AI Platform for Telemetry; Edge-based data collection; Data intensive applications; Data streams processing", "domainList" : [ "operating-system-fundamentals", "telemetry-infrastructure", "ai-platform-for-telemetry", "edge-based-data-collection", "data-intensive-applications", "data-streams-processing" ], "domainSpecificKnowledge" : [ "Operating system fundamentals", "Telemetry infrastructure", "AI Platform for Telemetry", "Edge-based data collection", "Data intensive applications", "Data streams processing" ], "toolProficiency" : [ "Docker", "Kubernetes", "AWS", "Azure", "GCP", "Mocha" ], "communicationSkills" : "Verbal communication; Written communication; Articulate technical topics", "innovationCreativity" : "Build what's next", "problemSolvingSkills" : "Troubleshooting; Debugging", "specialRequirements" : "Stand-by duties, On-call duties, Off-hours duties", "outcomesObjectives" : "Deliver high quality code; Ensure high quality code; Ensure product features work as expected; Meet customer needs; Turn ideas into real software", "qualificationsBasic" : "Bachelor's / Master's degree in Computer Science, Understanding of operating system fundamentals, Exceptional troubleshooting and debugging skills, Proven ability to write clean, maintainable, and testable code, Experience leveraging the latest AI tools, Excellent verbal and written communication, Steadfast commitment to ownership, Relentless drive to turn ideas into software, Professional experience developing software using TypeScript, Professional experience developing software using Node.js, Experience using Docker, Experience using Kubernetes, Experience using cloud platforms such as AWS, Experience using cloud platforms such as Azure, Experience using cloud platforms such as GCP, Experience using assertion frameworks and tools, Experience using tools to automate regression tests, Prior experience working on data intensive applications, Prior experience working on data streams processing, Experience working remotely across timezones", "qualificationsPreferred" : "Mocha experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next. We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd. Why You'll Love This Role Cribl Edge is a vendor-neutral multi-platform agent that provides users with an intelligent and highly-scalable solution for edge-based data collection, serving hundreds of thousands of machines with diverse configurations. As a Senior Software Engineer on the Edge team, your primary responsibility will be developing and maintaining back-end features for data collection across hundreds of thousands of Edge nodes across multiple platforms. As An Active Member Of The Team, You Will... Design, build, and optimize software for data collection agents that run across Windows, Linux, and Mac environments Collaborate closely with UX designers, Product Managers, and fellow engineers to translate feature requirements into intuitive, high-performance user experiences Own the development lifecycle, from design and implementation to testing and maintenance, delivering clean, efficient, and reliable code that meets customer needs Develop automated tests and comprehensive test plans to ensure high quality code and product features that work as expected Help maintain and support our SaaS products including periodic participation in our 24x7 on-call rotations This position will require stand-by, on-call, or off-hours duties If You’ve Got It - We Want It Bachelor's / Master’s degree in Computer Science or similar field Strong understanding of operating system fundamentals, including memory management, CPU architecture/scheduling, filesystems, process lifecycles, and networking Exceptional troubleshooting and debugging skills for swiftly resolving technical challenges Proven ability to write clean, maintainable, and testable code Experience leveraging the latest AI tools to accelerate delivery of features without sacrificing quality Excellent verbal and written communication, ability to clearly and concisely articulate complex technical topics to stakeholders A steadfast commitment to ownership, ensuring that deliverables consistently meet high standards of quality and performance A relentless drive to turn ideas into real, high-quality software that makes a difference Professional experience developing software using TypeScript, and Node.js Experience using Docker, Kubernetes, and cloud platforms such as AWS, Azure, GCP Experience using assertion frameworks and tools to automate regression tests (e. g. Mocha) Prior experience working on data intensive applications and/or data streams processing Experience working remotely across timezones No fear! Speak your mind Good jokes, or maybe better, bad jokes A love for goats #LI-EL1 #LI-Remote The salary for this role is dependent on geographic location and will be based on the individual candidate's job-related knowledge, skills, and experience. In addition to base salary, for sales and some sales-adjacent roles, employees are eligible to earn incentive compensation (commission). For all other roles, employees are eligible to participate in the Cribl Corporate Bonus Program. In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), and equity. Base Salary Range $160,000—$210,000 USD Bring Your Whole Self Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us.", "summaryDescription" : "Sr Software Engineer, Edge at Cribl. Skills: Edge computing, Data collection, Backend development, Node.js, TypeScript. Design software for data collection agents. Build software for data collection agents", "postedDate" : "2026-06-11T21:28:05.601", "createdAt" : "2026-06-11T21:28:05.601", "lastUpdated" : "2026-06-14T02:39:18.664", "ingestTimestamp" : "2026-06-11T21:28:05.601", "mongoId" : "6a2a766874d8ee00a065c1c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Operating system fundamentals", "Memory management", "CPU architecture", "CPU scheduling", "Filesystems", "Process lifecycles", "Networking", "Troubleshooting", "Debugging", "Code quality", "Testable code", "AI tools", "Code optimization", "Data intensive applications", "Data streams processing", "Speak your mind", "Edge computing", "Data collection", "Backend development", "Node.js", "TypeScript", "Data management", "Data analysis", "Feature development", "Automated testing", "Regression tests", "SaaS support", "System design", "Development lifecycle", "Telemetry infrastructure", "AI Platform for Telemetry", "Edge-based data collection", "Docker", "Kubernetes", "AWS", "Azure", "GCP", "Mocha" ], "skillCount" : 38, "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology" }, { "id" : "68fe55f070f0b99d5871f750", "title" : "NW Deployment Edge Lead I, DCC Communities", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Operations, Cloud Computing", "salary" : { "min" : 61700.0, "max" : 138100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Dallas, Texas, USA", "locations" : [ "Dallas, Texas, USA" ], "timestamp" : "2026-06-15T02:38:43.870", "fingerprint" : "fdaa314a9b4d8540f7673053af0919d68b2be9be946729198043a87a865bbe12", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3102427/apply", "externalId" : "2570996b-20e9-4362-a863-2860d76b3084", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Linux, UNIX, DWDM, TCP/IP", "professionalSkills" : [ "Network installation", "Network configuration", "Site audits", "Operational processes" ], "hardSkillsList" : [ "Fiber optics", "Networking equipment", "OSP connectivity" ], "softSkillsList" : [ "Autonomous", "Written communication", "Verbal communication" ], "hardSkills" : [ { "name" : "Fiber optics", "level" : "intermediate" }, { "name" : "Networking equipment", "level" : "intermediate" }, { "name" : "OSP connectivity", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Autonomous" }, { "name" : "Written communication" }, { "name" : "Verbal communication" } ], "majorSkills" : "Network deployment, Colocation facilities, Infrastructure services", "majorSkillsList" : [ "Network deployment", "Colocation facilities", "Infrastructure services" ], "coreResponsibilities" : "Install routers, Configure routers, Install switches, Configure switches, Install DWDM hardware, Configure DWDM hardware, Troubleshoot fiber optic cabling, Troubleshoot copper cabling, Troubleshoot network installations, Troubleshoot network configuration, Coordinate colocation remote hands, Resolve colocation facility issues, Identify OSP connectivity issues, Coordinate OSP connectivity issues, Remediate OSP connectivity issues, Participate in projects, Create colocation sites, Expand colocation sites, Build relationships with facilities, Perform site audits, Improve operational processes, Update AWS tools, Provide status updates, Decommission cabling, Decommission network hardware", "teamCollaboration" : "Internal teams; External teams; Partner teams", "projectManagementSkills" : [ "MS Project" ], "domainKnowledge" : "Cloud Computing Infrastructure; Edge locations; Data center operations; Distributed architectures; Service-oriented architectures; OSP connectivity", "domainList" : [ "cloud-computing-infrastructure", "edge-locations", "data-center-operations", "distributed-architectures", "service-oriented-architectures", "osp-connectivity" ], "domainSpecificKnowledge" : [ "Cloud Computing Infrastructure", "Edge locations", "Data center operations", "Distributed architectures", "Service-oriented architectures", "OSP connectivity" ], "toolProficiency" : [ "MS Office", "MS Project" ], "communicationSkills" : "Written communication; Verbal communication; Status updates", "innovationCreativity" : "Innovating effective solutions", "problemSolvingSkills" : "Problem solving; Troubleshooting", "specialRequirements" : "Lift & rack equipment, Work in cramped spaces, Work in elevated locations, Up to 60% travel, Local travel, International travel", "qualificationsBasic" : "Bachelor's degree in computer science or equivalent, 2+ years of Linux, UNIX administration, Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies, Troubleshooting Network installation and configuration", "qualificationsPreferred" : "4+ years working in a data center operations environment, Experience dealing with customers during problem resolution, Operating efficiently under pressure, Proven ability to manage customer expectations, Resolve conflicts that balance client and company needs, Understanding of distributed and service-oriented architectures, LEAN, Sigma and Operational Excellence knowledge, Proficiency with MS Office, MS Project, SQL, Excellent knowledge of server hardware, Copper/Fiber Optic Testing/Cabling Standards understanding, Understanding of DWDM and TCP/IP networks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As a Colocation Technician in AWS, you will get to help build and maintain a Cloud Computing Infrastructure across a number of local and remote Edge locations in the Americas. The role involves some periods working independently from your team and requires the ability to drive change while maintaining excellent communication. Your day job will include (but not limited to): • Installation and configuration of routers, switches and DWDM hardware. • Troubleshoot fiber optic and copper cabling, network installations and configuration. • Coordinating colocation remote hands for new capacity installations. • Coordinating colocation remote hands and eyes for any network issues. • Resolving colocation facility issues. • Identify, coordinate, and remediate outside plant (OSP) connectivity issues. • Participating in small to mid-size projects creating or expanding colocation sites. • Building relationships with remote facilities to ensure swift response times to events. • Performing site audits to ensure safety and quality meets AWS standards. • Improving all operational processes within each site and/or cage. • Updating AWS tools. • Providing status updates to stakeholders via internal tools. • Decommissioning of cabling and network hardware in collaboration with partner teams as needed. • Physical Requirements (all physical requirements may be done with reasonable accommodations). • This position has a physical component requiring the ability to lift & rack equipment up to 40lbs; it may require working in cramped spaces or in elevated locations while adhering to health & safety guidelines. • This role involves up to 60% travel, the vast majority is local travel but may have potential to include some including some international travel at times. Key job responsibilities You are someone who is highly autonomous, very detail oriented and possesses very strong written & verbal communication skills. You will have previous hands on technical troubleshooting experience and a proven ability solving complex problems. You possess strong technical knowledge of fiber optics and networking equipment. You will have experience building relationships with internal and external teams/customers along with innovating effective solutions to meet issues & problems as they arise. You maintain high standards for colocation cabling and maintenance. You seek out ways to improve yourself and the processes and systems with which you work. Most of all you will also have a passion for technology along with a desire to be the best at your job every day! About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Basic Qualifications: - Bachelor's degree in computer science or equivalent - Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies - 2+ years of Linux, UNIX administration as well as troubleshooting Network installation and configuration Preferred Qualifications: - Experience dealing with customers during problem resolution and operating efficiently under pressure as well as a proven ability to manage customer expectations and resolve conflicts that balance client and company needs. - Understanding of distributed and service-oriented architectures. - LEAN, Sigma and Operational Excellence knowledge and/or proficiency as well as with MS Office, MS Project, SQL. - Excellent knowledge of server hardware as well as of Linux, UNIX administration as well as Copper/Fiber Optic Testing/Cabling Standards understanding of DWDM and TCP/IP networks. - 4+ years working in a data center operations environment. 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 $61,700/year in our lowest geographic market up to $138,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "NW Deployment Edge Lead I, DCC Communities at Amazon Data Services, Inc.. Skills: Network deployment, Colocation facilities, Infrastructure services. Install routers. 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"dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cloud Computing" }, { "id" : "6a2cb96374d8ee00a09f7bc9", "title" : "Senior Embedded & Edge AI Engineer", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Embedded & Edge AI Engineer in Roncade, Italy, adjusted for industry and seniority." }, "location" : "Roncade (TV), Veneto", "locations" : [ "Roncade (TV), Veneto" ], "timestamp" : "2026-06-15T12:58:27.188", "fingerprint" : "3d01a665e74420897db850137e0c2eca6f12564fe2fd6ab09c81dfe20b5bab24", "source" : "jazzhr", "language" : "en", "externalId" : "qzsFWRWuyi", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Roncade", "state" : "Veneto", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.6152620,12.3944188" } ], "locationText" : "Roncade, Veneto, Italy", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "summaryDescription" : "Senior Embedded & Edge AI Engineer", "createdAt" : "2026-06-14T01:36:04.457", "lastUpdated" : "2026-06-15T12:58:27.188", "ingestTimestamp" : "2026-06-14T01:36:04.457", "mongoId" : "6a2cb96374d8ee00a09f7bc9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8470f0b99d5843f9e8", "title" : "Senior Software Engineer - Edge AI Platform, Device OS", "company" : "ADCI", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Software Engineer in Technology industry in Bengaluru, India, adjusted for seniority and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-14T22:40:52.523", "fingerprint" : "6e0ee4741f421d0c95356c36bef5507e0beaa5828937e6086540449cf749f732", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139796/apply", "externalId" : "b9928fe3-3ece-4d76-bac2-c7f72ab7a108", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, AI/ML, Edge computing, Deep learning, LLMs, Executorch, TensorFlow Lite, ONNX Runtime, CUDA, OpenCL, Metal, Vulkan Compute, PyTorch, JAX, TensorFlow, LoRA, QLoRA, Instruction tuning, SoC architecture, Hardware acceleration, Vectorization, Memory hierarchies, Generative AI, Embeddings, RAG, Semantic search, Transformer-based LLMs, Vector databases, FAISS, Annoy, HNSW", "professionalSkills" : [ "System design", "Software architecture", "Performance optimization" ], "hardSkillsList" : [ "Embedded development", "AI/ML systems", "Model deployment", "Model evaluation", "Data processing", "Debugging", "Fine tuning", "GPU programming", "Inference speed", "Memory utilization", "Bandwidth usage" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Embedded development", "level" : "intermediate" }, { "name" : "AI/ML systems", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Debugging", "level" : "intermediate" }, { "name" : "Fine tuning", "level" : "intermediate" }, { "name" : "GPU programming", "level" : "intermediate" }, { "name" : "Inference speed", "level" : "intermediate" }, { "name" : "Memory utilization", "level" : "intermediate" }, { "name" : "Bandwidth usage", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Edge AI, Device OS, Software Development, AI/ML", "majorSkillsList" : [ "Edge AI", "Device OS", "Software Development", "AI/ML" ], "coreResponsibilities" : "Conceive features, Design features, Deliver features, Architect software solutions, Develop software solutions, Investigate edge computing solutions, Prototype edge computing solutions, Deliver high quality software, Establish architectural principles, Mentor team members, Design inference execution frameworks, Implement inference execution frameworks, Develop backend integrations, Optimize model deployment workflows, Optimize performance, Collaborate with cross-functional teams, Deliver edge AI solutions", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Agile/Scrum" ], "domainKnowledge" : "Edge computing; Artificial intelligence; Device OS; Deep learning architectures; Transformer-based LLMs; Edge AI inference; SoC architecture; Hardware acceleration; Generative AI concepts; Vector databases; Data pipelines", "domainList" : [ "edge-computing", "artificial-intelligence", "device-os", "deep-learning-architectures", "transformer-based-llms", "edge-ai-inference", "soc-architecture", "hardware-acceleration", "generative-ai-concepts", "vector-databases", "data-pipelines" ], "domainSpecificKnowledge" : [ "Edge computing", "Artificial intelligence", "Device OS", "Deep learning architectures", "Transformer-based LLMs", "Edge AI inference", "SoC architecture", "Hardware acceleration", "Generative AI concepts", "Vector databases", "Data pipelines" ], "toolProficiency" : [ "Executorch", "TensorFlow Lite", "ONNX Runtime", "CUDA", "OpenCL", "Metal", "Vulkan Compute", "PyTorch", "JAX", "TensorFlow", "FAISS", "Annoy", "HNSW" ], "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Performance optimization", "qualificationsBasic" : "8+ years full SDLC, Embedded development in C/C++, 5+ years leading design/architecture, 5+ years AI/ML systems deployment, Understanding of deep learning architectures, Experience with edge hardware platforms, Experience with edge AI inference frameworks, Experience with GPU programming, Experience with ML frameworks, Experience deploying and tuning LLMs, Coding skills in C/C++ and Python", "qualificationsPreferred" : "Master's degree in machine learning, Deep knowledge of SoC architecture, Experience deploying LLMs on resource-constrained devices, Knowledge in Generative AI concepts, Knowledge in MCP workflows, Knowledge in Agentic ecosystem, Knowledge in Vector databases, Knowledge in data pipelines, Contributions to open-source inference frameworks, Cross-functional leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about bringing state of the art AI technology to edge devices? Join Amazon's Device OS organization, where we're revolutionizing how AI powers everyday devices. We're seeking exceptional Senior Software Development Engineers who can help us push the boundaries of edge computing and artificial intelligence. This is your chance to shape the future of AI-enabled devices that impact millions of customers worldwide. Key job responsibilities As a Sr. Software Development Engineer, you will conceive, design and deliver innovative features for Amazon devices. You will be responsible for architecting and developing software solutions for new confidential products. • Investigate and prototype edge computing solutions with AI integration capabilities • Work in an Agile/Scrum environment to deliver high quality software • Establish architectural principles and mentor team members • Design and implement unified inference execution frameworks for diverse hardware platforms • Develop backend integrations for various SoC vendors and AI accelerators • Optimize model deployment workflows and performance for resource-constrained environments • Collaborate with cross-functional teams to deliver scalable edge AI solutions About the team The Device OS Team builds Edge AI/ML frameworks enabling partners to launch applications, services, and devices customers love. We develop unified inference platforms that connect advanced AI models with diverse hardware ecosystems across multiple SoC platforms. Our infrastructure and tooling empower developers to deploy, optimize, and monitor high-performance AI models on edge devices. Basic Qualifications: - 8+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience in embedded development in C/C++ - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 5+ years in AI/ML systems and deployment (e.g., model deployment, model evaluation, data processing, debugging, fine tuning) - Strong understanding of deep learning architectures with emphasis on transformer-based LLMs - Proven experience working with edge hardware platforms (Qualcomm, MediaTek, NVIDIA Jetson, Apple Neural Engine, etc) - Experience with edge AI inference frameworks (Executorch, TensorFlow Lite, ONNX Runtime, etc.) and compiler stacks - Experience with GPU programming (e.g., CUDA, OpenCL, Metal, Vulkan Compute) - • Experience with ML frameworks (e.g., PyTorch, JAX, TensorFlow) - Experience deploying and tuning LLMs using techniques like LoRA, QLoRA, and instruction tuning - Strong coding skills in C/C++ and Python to implement custom optimized kernels - Performance optimization for inference speed, memory utilization, and bandwidth usage Preferred Qualifications: - Master's degree in machine learning or equivalent - Deep knowledge of SoC architecture, hardware acceleration, vectorization, and memory hierarchies - Experience deploying LLMs or advanced ML models on resource-constrained devices - Strong Knowledge in the following areas: - • Generative AI concepts such as embeddings, RAG, semantic search, and transformer-based LLMs - • MCP workflows and Agentic ecosystem - • Vector databases (e.g., FAISS, Annoy, HNSW) and data pipelines - Contributions to open-source inference frameworks or compiler toolchains - Strong cross-functional leadership, with the ability to influence product roadmaps and technical strategy across organizations Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Software Engineer - Edge AI Platform, Device OS at ADCI. Skills: Edge AI, Device OS, Software Development, AI/ML. Conceive features. Design features", "postedDate" : "2026-06-13T00:43:17.663", "createdAt" : "2026-06-13T00:43:17.663", "lastUpdated" : "2026-06-14T22:40:52.523", "ingestTimestamp" : "2026-06-13T00:43:17.663", "mongoId" : "693c2b8470f0b99d5843f9e8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139796/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Embedded development", "AI/ML systems", "Model deployment", "Model evaluation", "Data processing", "Debugging", "Fine tuning", "GPU programming", "Inference speed", "Memory utilization", "Bandwidth usage", "Mentoring", "Edge AI", "Device OS", "Software Development", "AI/ML", "System design", "Software architecture", "Performance optimization", "Agile/Scrum", "Edge computing", "Artificial intelligence", "Deep learning architectures", "Transformer-based LLMs", "Edge AI inference", "SoC architecture", "Hardware acceleration", "Generative AI concepts", "Vector databases", "Data pipelines", "Executorch", "TensorFlow Lite", "ONNX Runtime", "CUDA", "OpenCL", "Metal", "Vulkan Compute", "PyTorch", "JAX", "TensorFlow", "FAISS", "Annoy", "HNSW" ], "skillCount" : 43, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3057b0f292fd229cf3d1ad", "title" : "Model-Based Systems Engineer", "company" : "STR", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Model-Based Systems Engineer in Arlington, United States, adjusted for the technology industry and company size." }, "location" : "Arlington, Virginia, United States", "locations" : [ "Arlington", "Virginia", "United States", "Dayton", "Ohio", "United States", "Woburn", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:27:42.989", "fingerprint" : "4c6e54a66b20b9ef01387c586df853cc9587bf0075fa02b8d86b7bd5d687c7e9", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/systemstechnologyresearch/jobs/4688995006", "externalId" : "4688995006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "rawDescription" : "STR is hiring a Model-Based Systems Engineer (MBSE) to work across a broad portfolio of DoD mission areas. The Systems Engineer should have experience architecting systems, working across the Systems Engineering Lifecycle, a deep understanding of Systems Engineering principles, reverse engineering techniques, and the ability to work with complex software systems and the utilization of Digital Engineering/MBSE to accomplish program goals. The candidate will support STR’s Systems Development Division to achieve architectural integrity and traceability from requirements analysis through system and software development and production system deployment. This position offers the opportunity to work with leading domain experts developing solutions to solve the most challenging national security problems. Our teams consist of motivated individuals with degrees in engineering, computer science, mathematics, physics, and data science. The ideal candidate will be experienced in Systems Engineering processes and techniques, Modeling and Simulation, software-based systems, Digital Engineering/MBSE and be excited about opportunities to grow and be a source of subject matter expertise across the organization. The Systems Engineer should have experience implementing a rigorous MBSE approach to develop DoD systems. New programs at STR will be looking to adopt agile approaches that incorporate model-based requirements management and traceability with software development. This position is well suited for a Systems Engineer with a software systems background who is interested in improving the state of the practice and demonstrating the advantages that MBSE can offer. What you will do: Utilize your Systems Engineering skillset as part of a tightly knit team to design, develop, implement, and deploy advanced software systems Analyze, reverse-engineer, derive, and define requirements from ambiguous or incomplete software system implementations and codebases Develop/generate documentation (e. g. Systems Requirements Document, SysML models) to capture requirements of new and existing systems Perform gap analysis between derived requirements and current system capabilities to identify missing features or functionalities Assist other technical contributors throughout the software lifecycle, from early prototypes to fully integrated systems Implement MBSE approaches using SysML in Cameo Work closely with domain experts and software development teams to realize program designs for a diverse set of applications, including: Distributed mission planning Intelligence Surveillance Reconnaissance (ISR) management Decision making support to human analysts/planners This position is based in one of our offices but will take advantage of STR’s flexible, hybrid environment: we anticipate that you could work remotely as much as 25% of the time Any time work does not require use of STR’s facilities, you are welcome to work remotely Who you are: This position requires an Active DoD Top Secret Clearance with SCI eligibility, for which U. S. citizenship is needed by U. S. Government BS, MS or PhD in Systems Engineering, Computer Science, Aerospace Engineering, Electrical Engineering, or a related technical field Experience implementing open architectures and integrating with large scale software-intensive systems and platform systems Strong ability to derive requirements from existing software and capture new customer requirements, and translate those into development tasks for software teams Comfortable working in dynamic environments and adjusting to changing priorities Minimum of 2 years work experience as a Systems Engineer or related field Experience architecting systems using system modeling tools (SysML in Cameo) Even Better: Domain expertise or familiarity with one or more of the following areas is highly desirable: Sea, air, and space platforms, mission planning, and C2 systems Sensor Resource Management Electronic Warfare Software deployment in cloud-based systems Government Open System Architectures (UCI, OMS, COARPS) 5+ years of experience in architecting systems using system modeling tools (SysML in Cameo) Experience porting models/designs from SparxEA to Cameo Experience in Java, Python, or object-oriented programming languages Agile software development experience and/or certification Pay Information Full-Time Salary Range: $110,000 - $150,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate’s experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.", "summaryDescription" : "Model-Based Systems Engineer at STR", "postedDate" : "2026-06-15T23:22:53.102", "createdAt" : "2026-06-15T23:22:53.102", "lastUpdated" : "2026-06-16T08:27:42.989", "ingestTimestamp" : "2026-06-15T23:22:53.102", "mongoId" : "6a3057b0f292fd229cf3d1ad", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6931903470f0b99d58087a89", "title" : "Software Dev Engineer, Query Optimization", "company" : "Amazon Development Center U.S., Inc. - B02", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 129300.0, "max" : 223600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "East Palo Alto, California, USA", "locations" : [ "East Palo Alto, California, USA" ], "timestamp" : "2026-06-15T01:17:20.813", "fingerprint" : "4fa4b660ded708b5ca480223e8ed3cf54c5083fe342150cd70a7f687292e83a6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136754/apply", "externalId" : "fd182989-192d-4a41-96ec-0036e40df3a5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "East Palo Alto", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.4688273,-122.1410750" } ], "locationText" : "East Palo Alto, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Cloud data warehouse, MPP engine", "professionalSkills" : [ "Product vision", "Customer value", "End-to-end deliverables", "Algorithmic expertise", "Coding expertise" ], "hardSkillsList" : [ "Query optimization", "Parallel-aware query optimizer", "Execution plans" ], "softSkillsList" : [ "Mentoring", "Hiring" ], "hardSkills" : [ { "name" : "Query optimization", "level" : "intermediate" }, { "name" : "Parallel-aware query optimizer", "level" : "intermediate" }, { "name" : "Execution plans", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" }, { "name" : "Hiring" } ], "majorSkills" : "Query optimization, System design, Software development", "majorSkillsList" : [ "Query optimization", "System design", "Software development" ], "coreResponsibilities" : "Build systems for Redshift clusters, Define new features, Define new architecture, Distill complex requirements, Convert requirements into projects, Code end-to-end deliverables, Design deliverables, Develop deliverables, Deploy deliverables, Monitor deliverables, Operate deliverables, Lead engineers on projects, Develop team through mentoring, Develop team through hiring", "teamCollaboration" : "Collaborative environment", "domainKnowledge" : "Cloud data warehouse; MPP engine; Analytical workloads", "domainList" : [ "cloud-data-warehouse", "mpp-engine", "analytical-workloads" ], "domainSpecificKnowledge" : [ "Cloud data warehouse", "MPP engine", "Analytical workloads" ], "innovationCreativity" : "Innovative engineers", "problemSolvingSkills" : "Algorithmic expertise; Coding expertise", "qualificationsBasic" : "1+ years professional software development experience, 1+ years system design or architecture experience, Experience programming at least one language", "qualificationsPreferred" : "1+ years full SDLC experience, Master's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Redshift is the world’s most popular fully managed cloud data warehouse. Tens of thousands of enterprise customers use Redshift to crunch through exabytes of data in the cloud to make business critical decisions every day. To stay ahead in such a mission critical setting, at Redshift, we must always re-invent ourselves for customers. We are always looking for the innovative engineers to help shape the future of Redshift. We are actively hiring talented software engineers in the query optimization team of Redshift. The parallel-aware query optimizer of Redshift is at the heart of Redshift data plane and is responsible for finding optimal execution plans for tactical and complex queries running on the Redshift’s MPP engine. As a Software Development Engineer in Redshift, you will build systems that benefit Redshift clusters across the world. You will take significant ownership on the overall product vision by defining new features and architecture. You will distill complex and ambiguous requirements, converting them into meaningful projects that provide immense customer value. You will own and code end-to-end deliverables from design, development, deployment, monitoring, and operations. And you will lead engineers on substantial projects and help develop a flourishing team through active mentoring and hiring. This is a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology powering analytical workloads for Fortune 500 companies, startups, and everything in between. You will bring deep technical, algorithmic and coding expertise with the ability to work within a fast moving and collaborative environment in the industry leading cloud company to deliver a broad business impact. About the team About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 1+ years of non-internship professional software development experience - 1+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 1+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Master's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Dev Engineer, Query Optimization at Amazon Development Center U.S., Inc. - B02. Skills: Query optimization, System design, Software development. Build systems for Redshift clusters. 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Agile development methodology; Daily stand-ups; Weekly sprint planning; Backlog grooming sessions; Annual program planning; Quarterly prioritization meetings; Developers, PM, STOs collaborate", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "AWS Isolated cloud; Dedicated cloud partitions; Wide Area Networks; Global network datacenters; Cloud computing; Utility Computing; Compute services; Database services; Storage services; Internet of Things; Platform services; Productivity Apps services; Specialized security solutions", "domainList" : [ "aws-isolated-cloud", "dedicated-cloud-partitions", "wide-area-networks", "global-network-datacenters", "cloud-computing", "utility-computing", "compute-services", "database-services", "storage-services", "internet-of-things", "platform-services", "productivity-apps-services", "specialized-security-solutions" ], "domainSpecificKnowledge" : [ "AWS Isolated cloud", "Dedicated cloud partitions", "Wide Area Networks", "Global network datacenters", "Cloud computing", "Utility Computing", "Compute services", "Database services", "Storage services", "Internet of Things", "Platform services", "Productivity Apps services", "Specialized security solutions" ], "continuousLearning" : "Mentorship; Knowledge-sharing", "innovationCreativity" : "Product innovations", "problemSolvingSkills" : "Technical insights", "specialRequirements" : "Security clearance, TS/SCI with polygraph, On-call rotation", "qualificationsBasic" : "3+ years software development experience, 2+ years system design/architecture experience, Bachelor's degree or CSSLP, Experience with programming language, Experience with networking protocols", "qualificationsPreferred" : "Bachelor's in computer science, 3+ years full SDLC experience, Experience with network Layer2/3 encryption, Top Secret security clearance", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Edge Connectivity service enables AWS Cloud connectivity options for US Intelligence and Department of Defense customers. These connectivity options allow our customer to deploy and run their isolated, sensitive workloads in an environment exclusive for their use-case. We help our customers to onboard, manage, and scale their connectivity options for maintaining persistent connection to AWS Isolated cloud. In this role, you will build network pathways with which customers connect to Amazon's Dedicated Cloud partitions. You'll architect and implement software security protocols across Wide Area Networks (WANs), ensuring seamless and secure access to dedicated cloud environments. By developing sophisticated control and dataplane systems, you'll protect critical customer connections flowing through Amazon's global network of datacenters. You'll leverage the AWS ecosystem and integrate with third-party solutions to create secure pathways that meet our customers' stringent security requirements. Working alongside technology experts across Amazon, you'll define the next generation of dedicated cloud connectivity, setting new standards for enterprise-grade security. Your expertise in network encryption and software development will directly impact how how AWS customers access their mission-critical cloud infrastructure. The candidate selected must obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start, the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work. 10012 Key job responsibilities - Collaborate with cross-disciplinary Amazonians to design, build, and implement cloud based services for managing encrypted network connections - Build distributed systems that are scalable, fault-tolerant, low cost, with ease of management and use. - Influence product direction through data-backed technical insights and framing solutions in terms of business impact. - Mentor your teammates, helping to grow and develop their technical and operational skills - Participate in oncall rotation in support of our services Have questions about this role? Start a chat with the recruiter today! Please reach out to Krystan Silva at skrystan@amazon.com for inquiries. A day in the life Our team follows the Agile development methodology. Team members participate in daily stand-ups and weekly sprint planning and backlog grooming sessions. We conduct annual program planning and quarterly prioritization meetings to align tasks with organizational goals. Developers, Program Management (PM) team, and Single-Threaded Owners (STOs) collaborate to define and execute these tasks. Each developer serves as on-call support approximately four times per year to maintain our service availability target. About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional) - Experience programming with at least one software programming language - Experience with networking protocols (TCP/IP, BGP, IPSec) Preferred Qualifications: - Bachelor's degree in computer science or equivalent - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Experience with network Layer2/3 encryption(HAIPE/Ethernet Data Encryption(EDE)) - Current, active US Government Security Clearance of Top Secret or above 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 $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Software Development Engineer, AWS Edge Connectivity at Amazon Web Services, Inc.. Skills: Network connectivity, Software security, Cloud services. Build network pathways. Architect software security protocols", "postedDate" : "2026-06-13T04:56:26.631", "createdAt" : "2026-06-13T04:56:26.631", "lastUpdated" : "2026-06-15T03:19:21.098", "ingestTimestamp" : "2026-06-13T04:56:26.631", "mongoId" : "68c2e418f8b1b0376634c34e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3077159/apply", "salaryAnnualMin" : 129300, "salaryAnnualMax" : 223600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Network encryption", "Software development", "Mentoring", "Network connectivity", "Software security", "Cloud services", "System design", "Architecture", "Agile", "Scrum", "AWS Isolated cloud", "Dedicated cloud partitions", "Wide Area Networks", "Global network datacenters", "Cloud computing", "Utility Computing", "Compute services", "Database services", "Storage services", "Internet of Things", "Platform services", "Productivity Apps services", "Specialized security solutions", "CSSLP" ], "skillCount" : 24, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c795674d8ee00a0941451", "title" : "Senior Engineer, C++ Software - Edge Systems", "company" : "Shield AI", "industry" : "AUS", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior C++ Software Engineer - Edge Systems in Melbourne, Australia, adjusted for internship employment type." }, "location" : "Melbourne", "locations" : [ "Melbourne" ], "timestamp" : "2026-06-16T06:19:37.625", "fingerprint" : "a92822bb8230c57f9f4838638f5c0f2799d174a4228d462367a14a9226853d5f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/shieldai/7e80ee36-5e20-4a4b-ba65-87d43db66cd6/apply", "externalId" : "7e80ee36-5e20-4a4b-ba65-87d43db66cd6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Melbourne", "state" : "Victoria", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-37.8142454,144.9631732" } ], "locationText" : "Melbourne, Victoria, Australia", "employmentType" : "INTERNSHIP", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, Linux, Bash, Git, Docker, Kubernetes, AWS, GCP, Azure, CI/CD, Networking, Embedded Linux, RTOS", "professionalSkills" : [ "System design", "Code review", "Debugging" ], "hardSkillsList" : [ "Software development", "Embedded systems", "Real-time systems", "Performance optimization", "Security principles" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Embedded systems", "level" : "intermediate" }, { "name" : "Real-time systems", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Security principles", "level" : "intermediate" } ], "majorSkills" : "C++, Embedded Linux, RTOS, System design", "majorSkillsList" : [ "C++", "Embedded Linux", "RTOS", "System design" ], "coreResponsibilities" : "Design software systems, Develop software, Write code, Debug software, Test software, Deploy software, Maintain software, Collaborate with teams, Improve processes, Mentor junior engineers", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Edge computing; Embedded systems; Real-time operating systems; Cybersecurity; Networking protocols; Cloud platforms", "domainList" : [ "edge-computing", "embedded-systems", "real-time-operating-systems", "cybersecurity", "networking-protocols", "cloud-platforms" ], "domainSpecificKnowledge" : [ "Edge computing", "Embedded systems", "Real-time operating systems", "Cybersecurity", "Networking protocols", "Cloud platforms" ], "toolProficiency" : [ "Git", "Docker", "Kubernetes", "JIRA" ], "communicationSkills" : "Technical documentation; Code reviews", "documentationSkills" : "Technical documentation", "continuousLearning" : "Professional development", "innovationCreativity" : "New technologies", "problemSolvingSkills" : "Problem solving; Debugging; Root cause analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description Founded in 2015, Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software and V-BAT and X-BAT aircraft. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: Shield AI is seeking a C++ Software Engineer, Edge Systems to build mission-critical edge software for unmanned systems operating in demanding real-world environments. This role sits within the systems team, where software meets hardware. You will work across sensors, edge compute, imaging pipelines, mission systems, and autonomy. You will develop production C++ software for Linux-based edge compute platforms, including NVIDIA Jetson-class systems and other ARM-based embedded platforms. You will work on sensor integration, hardware-facing applications, calibration tools, diagnostics, and mission-system interfaces. This is a hands-on role for an engineer with proven experience delivering reliable software that runs on real systems, not just prototypes. You will work closely with systems, hardware, autonomy, AI, product, and test engineers to turn advanced capability into integrated, tested, fieldable software. ## What you'll do Design, develop, test, and maintain production C++ software for edge systems, imaging systems, mission applications, developer tooling, and automated test infrastructure. Build Linux-based applications for NVIDIA, ARM, and other embedded compute platforms connected to real sensors, payloads, peripheral hardware, and mission systems. Integrate camera inputs such as RGB, NIR, and thermal, alongside GPS, IMU, communications, and other sensor or peripheral inputs using interfaces such as MIPI CSI, GMSL, Ethernet, serial, or similar hardware-facing protocols. Develop calibration, synchronisation, data capture, diagnostics, device inspection, and system configuration tools for multi-sensor and mission-system environments. Optimise software for latency, frame rate, throughput, reliability, power use, and thermal performance on constrained edge compute platforms. Debug issues across software, hardware, operating systems, networking, sensors, timing, compute, and deployment environments. Collaborate across systems, hardware, autonomy, AI, product, and test teams to deliver integrated capability. Own technical outcomes from ambiguous requirements through implementation, integration, verification, and delivery. ## Required qualifications Degree in Computer Science, Software Engineering, Electrical Engineering, Robotics, a related technical field, or equivalent real-world engineering experience. Proven commercial or production C++ development experience, including designing, implementing, debugging, and maintaining non-trivial software systems. Demonstrated experience building software that interfaces with real hardware, sensors, embedded devices, robotics, vehicles, imaging systems, networks, or other operational platforms. Practical experience developing and debugging software on Linux-based systems. Experience working with edge compute, embedded compute, ARM-based platforms, NVIDIA platforms, or comparable hardware-constrained environments. Strong software engineering fundamentals, including concurrency, interfaces, memory management, data structures, algorithms, testing, and version control. Proven ability to debug complex issues across software, hardware, operating systems, networking, timing, and integration boundaries. Experience owning technical work from incomplete requirements through design, implementation, integration, verification, and delivery. Ability to collaborate effectively with cross-functional engineering teams, including systems, hardware, test, autonomy, AI, or product stakeholders. ## Preferred qualifications We do not expect candidates to have all of the following. Experience in any of these areas will help you stand out. Runtime-critical, multi-threaded, or performance-sensitive C++ software for real-time or near-real-time systems. Imaging, video, or sensor pipelines, including camera integration, ISP tuning, high-throughput image processing, GStreamer, FFmpeg, or similar technologies. Hardware-accelerated processing on embedded or edge platforms, including NVIDIA Jetson, Qualcomm-based platforms, embedded AI accelerators, GPU-accelerated video or compute pipelines, or similar systems. Integration of peripheral hardware such as RGB, NIR, and thermal cameras, GPS, IMU, GPU, or vehicle-interface systems. Robotics, aerospace, defence, autonomy, unmanned systems, automotive, or other mission-critical domains. Systems architecture, including interface design, system decomposition, testability, reliability, and maintainability. Low-level Linux, device interfaces, vendor SDKs, driver-adjacent debugging, NixOS, edge AI/ML inference, or related Linux-based deployment environments. Automated build, CI/CD, simulation, software-in-the-loop, hardware-in-the-loop, system test, containerised deployment, or deployment tooling. ## Additional Information #LI-FB1 #LC Help us redefine what’s possible in AI-driven perception — apply today! Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. ", "summaryDescription" : "Senior Engineer, C++ Software - Edge Systems at Shield AI. Skills: C++, Embedded Linux, RTOS, System design. Design software systems. Develop software", "postedDate" : "2026-06-11T17:17:40.101", "createdAt" : "2026-06-11T17:17:40.101", "lastUpdated" : "2026-06-16T06:19:37.625", "ingestTimestamp" : "2026-06-14T21:24:59.798", "mongoId" : "6a2c795674d8ee00a0941451", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Software development", "Embedded systems", "Real-time systems", "Performance optimization", "Security principles", "C++", "Embedded Linux", "RTOS", "System design", "Code review", "Debugging", "Agile", "Scrum", "Edge computing", "Real-time operating systems", "Cybersecurity", "Networking protocols", "Cloud platforms", "Git", "Docker", "Kubernetes", "JIRA" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 4, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69fda4e54c40e2acd1b99a4d", "title" : "Software Development Engineer, Alexa Edge AI", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 80000.0, "max" : 191800.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T03:18:29.719", "fingerprint" : "4412f888dfefea8409d962d7e86bb2c629f99fbb2bcb622d4b812e1cb0e8cd77", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412538/apply", "externalId" : "3f51a718-1ea5-4a63-b1a6-ce5a5b82bc85", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "technicalSkills" : "GenAI, AI", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Software development", "System design", "Architecture" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" } ], "majorSkills" : "Edge AI, Software development, Cloud-native architecture", "majorSkillsList" : [ "Edge AI", "Software development", "Cloud-native architecture" ], "coreResponsibilities" : "Collaborate and communicate effectively, Design innovative products, Build innovative services, Operate innovative products, Operate innovative services, 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 AI tools, Write clean code, Write maintainable code, Work in agile environment, Participate in operational responsibilities, Demonstrate operational excellence, Troubleshoot production issues, Resolve production issues", "teamCollaboration" : "Cross-disciplinary teams; Agile environment", "projectManagementSkills" : [ "Agile", "CI/CD" ], "domainKnowledge" : "Cloud-native architecture; Distributed computing; Distributed systems; Edge AI", "domainList" : [ "cloud-native-architecture", "distributed-computing", "distributed-systems", "edge-ai" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed computing", "Distributed systems", "Edge AI" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "continuousLearning" : "Emerging technologies", "innovationCreativity" : "Innovative technology; Creating new products; Creating new features; Creating new services", "problemSolvingSkills" : "Troubleshooting; Resolving production issues", "specialRequirements" : "On-call duties", "outcomesObjectives" : "Solve real customer problems; Impact millions of customers", "qualificationsBasic" : "3+ years professional software development, 2+ years system design or architecture, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "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, 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. 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: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD annually", "summaryDescription" : "Software Development Engineer, Alexa Edge AI at Amazon Development Centre Canada ULC. Skills: Edge AI, Software development, Cloud-native architecture. Collaborate and communicate effectively. Design innovative products", "postedDate" : "2026-06-13T03:13:54.650", "createdAt" : "2026-06-13T03:13:54.650", "lastUpdated" : "2026-06-15T03:18:29.719", "ingestTimestamp" : "2026-06-13T03:13:54.650", "mongoId" : "69fda4e54c40e2acd1b99a4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412538/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Software development", "System design", "Architecture", "Edge AI", "Cloud-native architecture", "Agile", "CI/CD", "Distributed computing", "Distributed systems" ], "skillCount" : 9, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305788f292fd229cf3ad94", "title" : "Model Manager", "company" : "HDR", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Model Manager in the Construction industry in the United States, adjusted for manager-level seniority and company size." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T08:56:58.720", "fingerprint" : "b5b61760f973886a7d6346d165c0272f1cbf286180cf34df6fd1882d1513c5c7", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=785633", "externalId" : "785633", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "3D design software, Document management, 3D Coordination tools, Microsoft Office, Automation software, Programming applications", "professionalSkills" : [ "Digital model management", "Digital delivery", "Model coordination", "Quality control", "Client service", "Presentation skills", "Analytical skills", "Problem-solving skills" ], "hardSkillsList" : [ "Digital design", "Digital delivery", "Model management", "3D design", "Document management", "3D coordination", "Microsoft Office", "Automation", "Programming" ], "hardSkills" : [ { "name" : "Digital design", "level" : "intermediate" }, { "name" : "Digital delivery", "level" : "intermediate" }, { "name" : "Model management", "level" : "intermediate" }, { "name" : "3D design", "level" : "intermediate" }, { "name" : "Document management", "level" : "intermediate" }, { "name" : "3D coordination", "level" : "intermediate" }, { "name" : "Microsoft Office", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" } ], "majorSkills" : "Model management, Digital delivery, 3D coordination", "majorSkillsList" : [ "Model management", "Digital delivery", "3D coordination" ], "coreResponsibilities" : "Manage digital model environment, Manage project deliverables, Generate Digital Delivery Plan, Maintain Digital Delivery Plan, Manage outlined deliverables, Initiate project procedures, Establish server infrastructure, Establish discipline models, Establish digital deliverables, Execute digital deliverables, Support production teams, Provide technical support, Communicate deliverable schedule, Monitor model health, Monitor coordination processes, Provide guidance to team members, Develop Digital Delivery Plan, Maintain Digital Delivery Plan, Establish document management system, Maintain server infrastructure, Ensure appropriate software, Ensure appropriate versions, Ensure appropriate access, Ensure appropriate training, Generate model setup, Maintain model setup, Monitor company standards, Monitor model health, Host coordination meetings, Ensure quality control, Compile project digital deliverables, Manage exchange process, Archive projects", "teamCollaboration" : "Project teams; 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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. In the role of Model Manager , we’ll count on you to: Manage the digital model environment and deliverables for an entire project Have an advanced understanding of how all disciplines interact and how construction documents are produced Work directly with the Project Manager to generate and maintain the Digital Delivery Plan (DDP), while managing the deliverables outlined within Begin the project initiation procedure, establishing the server infrastructure, discipline models, and digital deliverables outlined in the project scope Execute digital deliverables and support production teams throughout the complete lifecycle of projects Provide technical support, while communicating the deliverable schedule to the project team Maintain quality, this individual will monitor the model health and coordination processes of the project, from the planning phase thru issue of construction documents Execute these tasks with minimal oversight by the Digital Delivery Leads and provide guidance to project team members Develop and maintain the Digital Delivery Plan (DDP) Establish the document management system and maintain the server infrastructure for multi-discipline projects Ensure the team has the appropriate software, versions, access, and training needed to execute the project requirements Generate and maintain model setup including project information, coordinates, scales, orientations, scope boundaries, match-lines, views, sheets, and general models, to accommodate the disciplines and project requirements Monitor and maintain company standards and model health Host Digital Delivery coordination meetings with the project team to ensure optimal quality control through Design Reviews and 3D Coordination processes Communicate, coordinate, and compile all project digital deliverables and exchange process at predetermined milestones Project archiving at submittals and closeout Engage in close and effective communication and presentations with HDR management, production staff, and clients Preferred Qualifications Experience in developing and using automation software products and procedures for design Experience in development and management of diverse teams Preference given to local candidates Required Qualifications Technical degree or a combination of education and relevant experience A minimum of 5 years digital design (BIM element authoring) and 3 years digital delivery (model management) experience Comprehensive understanding of all discipline relations and operations of building systems Advanced skillset of 3D design software and document management infrastructure Advanced skillset of 3D Coordination tools Advanced skillset of Microsoft Office products and communication tools Familiar with industry standards and practices, along with discipline codes and specifications Familiar with basic automation and programming applications for efficiencies Familiar with 3D design software add-ins and supporting applications Familiar with content creation and management concepts Superior client service, communication, and presentation skills are essential Demonstrate strong analytical and problem-solving skills to effectively serve as a first line of technical support #LI-MW4 What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.", "summaryDescription" : "Model Manager at HDR. Skills: Model management, Digital delivery, 3D coordination. Manage digital model environment. 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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.", "summaryDescription" : "Model Manager at HDR. Skills: Model management, Digital delivery, 3D design software, 3D coordination. Manage digital model environment. 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In the role of Model Manager , we’ll count on you to: Manage the digital model environment and deliverables for an entire project Have an advanced understanding of how all disciplines interact and how construction documents are produced Work directly with the Project Manager to generate and maintain the Digital Delivery Plan (DDP), while managing the deliverables outlined within Begin the project initiation procedure, establishing the server infrastructure, discipline models, and digital deliverables outlined in the project scope Execute digital deliverables and support production teams throughout the complete lifecycle of projects Provide technical support, while communicating the deliverable schedule to the project team Maintain quality, this individual will monitor the model health and coordination processes of the project, from the planning phase thru issue of construction documents Execute these tasks with minimal oversight by the Digital Delivery Leads and provide guidance to project team members Develop and maintain the Digital Delivery Plan (DDP) Establish the document management system and maintain the server infrastructure for multi-discipline projects Ensure the team has the appropriate software, versions, access, and training needed to execute the project requirements Generate and maintain model setup including project information, coordinates, scales, orientations, scope boundaries, match-lines, views, sheets, and general models, to accommodate the disciplines and project requirements Monitor and maintain company standards and model health Host Digital Delivery coordination meetings with the project team to ensure optimal quality control through Design Reviews and 3D Coordination processes Communicate, coordinate, and compile all project digital deliverables and exchange process at predetermined milestones Project archiving at submittals and closeout Engage in close and effective communication and presentations with HDR management, production staff, and clients Preferred Qualifications Experience in developing and using automation software products and procedures for design Experience in development and management of diverse teams Preference given to local candidates Required Qualifications Technical degree or a combination of education and relevant experience A minimum of 5 years digital design (BIM element authoring) and 3 years digital delivery (model management) experience Comprehensive understanding of all discipline relations and operations of building systems Advanced skillset of 3D design software and document management infrastructure Advanced skillset of 3D Coordination tools Advanced skillset of Microsoft Office products and communication tools Familiar with industry standards and practices, along with discipline codes and specifications Familiar with basic automation and programming applications for efficiencies Familiar with 3D design software add-ins and supporting applications Familiar with content creation and management concepts Superior client service, communication, and presentation skills are essential Demonstrate strong analytical and problem-solving skills to effectively serve as a first line of technical support #LI-MW4 What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.", "summaryDescription" : "Model Manager at HDR. Skills: Model management, Digital delivery, 3D coordination. Manage digital model environment. 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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. In the role of Model Manager , we’ll count on you to: Manage the digital model environment and deliverables for an entire project Have an advanced understanding of how all disciplines interact and how construction documents are produced Work directly with the Project Manager to generate and maintain the Digital Delivery Plan (DDP), while managing the deliverables outlined within Begin the project initiation procedure, establishing the server infrastructure, discipline models, and digital deliverables outlined in the project scope Execute digital deliverables and support production teams throughout the complete lifecycle of projects Provide technical support, while communicating the deliverable schedule to the project team Maintain quality, this individual will monitor the model health and coordination processes of the project, from the planning phase thru issue of construction documents Execute these tasks with minimal oversight by the Digital Delivery Leads and provide guidance to project team members Develop and maintain the Digital Delivery Plan (DDP) Establish the document management system and maintain the server infrastructure for multi-discipline projects Ensure the team has the appropriate software, versions, access, and training needed to execute the project requirements Generate and maintain model setup including project information, coordinates, scales, orientations, scope boundaries, match-lines, views, sheets, and general models, to accommodate the disciplines and project requirements Monitor and maintain company standards and model health Host Digital Delivery coordination meetings with the project team to ensure optimal quality control through Design Reviews and 3D Coordination processes Communicate, coordinate, and compile all project digital deliverables and exchange process at predetermined milestones Project archiving at submittals and closeout Engage in close and effective communication and presentations with HDR management, production staff, and clients Preferred Qualifications Experience in developing and using automation software products and procedures for design Experience in development and management of diverse teams Preference given to local candidates Required Qualifications Technical degree or a combination of education and relevant experience A minimum of 5 years digital design (BIM element authoring) and 3 years digital delivery (model management) experience Comprehensive understanding of all discipline relations and operations of building systems Advanced skillset of 3D design software and document management infrastructure Advanced skillset of 3D Coordination tools Advanced skillset of Microsoft Office products and communication tools Familiar with industry standards and practices, along with discipline codes and specifications Familiar with basic automation and programming applications for efficiencies Familiar with 3D design software add-ins and supporting applications Familiar with content creation and management concepts Superior client service, communication, and presentation skills are essential Demonstrate strong analytical and problem-solving skills to effectively serve as a first line of technical support #LI-MW4 What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.", "summaryDescription" : "Model Manager at HDR. Skills: Model management, Digital delivery, 3D coordination, Project management. Manage digital model environment. 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Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.", "summaryDescription" : "Model Manager at HDR. Skills: Model management, Digital delivery, 3D design software, 3D coordination tools. Manage digital model environment. 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06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-15T07:49:22.001", "fingerprint" : "32b23742ae3b2dba6dae50e661a56b3fbb0b0d82fcd02201504443c75ac79af3", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57405", "externalId" : "57405", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gogama", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6736705,-81.7250895" } ], "locationText" : "Gogama, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "VHF/UHF, WIFI mesh, Microwave systems, Ethernet, Fiber-optic, Radio, Microwave, Wireless, Cisco Wi-Fi, LTE Radio", "professionalSkills" : [ "Problem-solving", "Prioritization", "Technical learning" ], "hardSkillsList" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications" ], "hardSkills" : [ { "name" : "Radio communications", "level" : "intermediate" }, { "name" : "Fleet Management Systems", "level" : "intermediate" }, { "name" : "Electronic schematics", "level" : "intermediate" }, { "name" : "Technical specifications", "level" : "intermediate" } ], "majorSkills" : "Autonomous hardware, Radio systems, Mining technology, Wireless communication", "majorSkillsList" : [ "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication" ], "coreResponsibilities" : "Install wired/wireless communications, Repair wired/wireless communications, Maintain wired/wireless communications, Deploy VHF/UHF systems, Deploy WIFI mesh systems, Deploy microwave systems, Execute preventative maintenance, Inspect hardware, Identify field inefficiencies, Apply Command for Haulage expertise, Improve fleet throughput, Improve fleet quality, Troubleshoot technical issues, Manage mining databases, Manage fleet management software, Manage equipment logs, Ensure reporting accuracy, Partner with Mine Operators, Partner with Control teams, Coordinate shift deliverables, Resolve fleet problems, Train new team members, Manage FMS inventory, Prevent downtime", "teamCollaboration" : "Mine Operators; Control teams", "domainKnowledge" : "Autonomous haulage; Drill fleet; High Precision Machine Guidance; Mining databases; Fleet Management Systems; Autonomous Mining Systems; Microwave PTP; Microwave PTMP", "domainList" : [ "autonomous-haulage", "drill-fleet", "high-precision-machine-guidance", "mining-databases", "fleet-management-systems", "autonomous-mining-systems", "microwave-ptp", "microwave-ptmp" ], "domainSpecificKnowledge" : [ "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Fleet Management Systems", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP" ], "toolProficiency" : [ "Command for Haulage", "Fleet Management Systems", "Cisco Wi-Fi" ], "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Rotational schedule", "qualificationsBasic" : "Grade 12 or equivalent, 5+ years electrician experience, 5+ years communications infrastructure experience", "qualificationsPreferred" : "College diploma related field, University degree related field, Fleet Management Systems experience, Autonomous Mining Systems experience, High Precision Machine Guidance experience, Cisco Wi-Fi experience, LTE Radio Systems experience, Mining experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are IAMGOLD. Innovative, Accountable Mining. IAMGOLD is a Canadian-based gold mining company with operations and development projects across North America and West Africa. With flagship operations such as the Côté Gold Mine in Ontario—one of Canada’s largest and most technologically advanced gold mines—we’re not just mining gold; we’re shaping the future of mining. We believe mining can be different. By combining innovation with a strong commitment to sustainability and accountability, we create lasting value for our people and the communities where we operate. At IAMGOLD, when we engage, empower, and support each other, we create extraordinary outcomes—delivering value for our people, partners, and stakeholders while building stronger, more resilient communities. At Côté Gold, we’re leading the way in modern mining. With an 18+ year mine life, Côté Gold will inject C$5 billion in wages into the economy and create lasting benefits for the region. Over 600 full-time jobs and strong partnerships with Mattagami and Flying Post First Nations mean you’ll be part of something bigger—building prosperity and progress for generations. Industry leaders call us “a model for modern mining and sustainability”, and you can help write the next chapter. Want to Learn More About IAMGOLD? Check out the IAMGOLD Blog Read about our Côté Gold About the role: We are actively seeking an Autonomous Hardware and Radio Technician to join the Côté Gold Mine Site. This role is responsible for the reliable operation of the hardware and radio systems that support the autonomous haulage and drill fleet. The Autonomous Hardware/Radio Technician ensures safe, effective and timely implementation, configuration and maintenance of the operational mining technology network and wireless communication systems. This role will be based on our Cote Gold Mine Site (Gogama, ON), on a rotational schedule. Responsibilities: Install, repair, and maintain wired/wireless communications for autonomous haulage and drill equipment Deploy VHF/UHF, WIFI mesh, and microwave systems to support High Precision Machine Guidance Execute preventative maintenance and inspections to ensure all hardware meets safety and performance standards Identify field inefficiencies and apply Command for Haulage expertise to improve fleet throughput and quality Troubleshoot technical issues while weighing impacts on time, cost, sustainability, and safety Manage mining databases, fleet management software, and equipment logs to ensure reporting accuracy Partner with Mine Operators and Control teams to coordinate shift deliverables and resolve fleet problems Train new team members and manage Fleet Management System (FMS) inventory to prevent downtime Key Skills & Knowledge: Grade 12 or equivalent. College diplomas or university degrees in a related field such electrical, OT, autonomous systems technology is considered an asset Relevant Experience: 5 or more years of experience as an electrician or 5 or more years of experience supporting communications infrastructure (Ethernet, fiber-optic, radio, microwave, wireless). Experience with Fleet Management Systems, Autonomous Mining Systems, High Precision Machine Guidance, Cisco Wi-Fi and LTE Radio Systems is considered an asset. Experience installing, maintaining and fault-finding radio communications equipment and Fleet Management Systems is considered an asset; Mining experience may be considered an asset but is not required. Skills & Strengths, We Value: Highly organized and possess excellent analytical and problem-solving skills with the ability to prioritize effectively in a high-pressure environment. An aptitude for learning technical material and are detail orientated. Understanding of Microwave PTP, PTMP based radio and antennae systems; and Ability to read and interpret electronic schematics and Technical Specifications. What we Offer: At IAMGOLD, we don’t just reward performance we invest in your potential. Our total rewards package is designed to support your well-being today and encourage your growth for tomorrow. Because the future of mining, and your career, starts here. • Comprehensive Health Coverage – Extended health, dental, and insurance benefits for peace of mind. • Flexible Spending Power – Health & Personal Spending Accounts to fit your evolving needs. • Support When It Matters – Employee & Family Assistance Program for life’s challenges. • Future-Ready Savings – Registered Pension Plan with company match, plus TFSA & RRSP options. • Shared Success – Employee Share Purchase Plan with company match—because we grow together. Salary Range: $89,000-122,400 The final offer is determined based on your individual skills, qualifications, and competencies and aligned with our commitment to internal equity. We recognize that not everyone will meet every requirement listed, and that’s okay. If this role excites you and you believe you have relevant experience or transferable skills, we encourage you to apply. We value potential and are committed to supporting growth and development. We’re an equal opportunity employer, committed to building a workplace where every perspective sparks progress. We welcome applications from women, Indigenous Peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQIA+ community. Need accommodation during the recruitment process? Just let us know, we’ll make it happen. Mining. Redefined. We’re building a modern mining company driven by innovation, accountability, and a deep commitment to sustainability. Please note that IAMGOLD does not use AI tools within our applicant tracking system to support the screening of applications Canada", "summaryDescription" : "Autonomous Hardware and Radio Technician at IAMGOLD. Skills: Autonomous hardware, Radio systems, Mining technology, Wireless communication. Install wired/wireless communications. Repair wired/wireless communications", "createdAt" : "2026-06-14T00:42:33.594", "lastUpdated" : "2026-06-15T07:49:22.001", "ingestTimestamp" : "2026-06-14T00:42:33.594", "mongoId" : "69ce5e199bc74574cb674d4c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications", "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication", "Problem-solving", "Prioritization", "Technical learning", "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP", "Command for Haulage", "Cisco Wi-Fi" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a48fe74d8ee00a05e3169", "title" : "Software Engineer, Fleet Optimization", "company" : "Waymo", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, United States", "locations" : [ "Mountain View", "California", "United States", "San Francisco", "California", "United States" ], "timestamp" : "2026-06-14T22:19:10.276", "fingerprint" : "7c6def8063a4f9e0fd868f8f3b27018209779f1e403220fdadca9bd12dac1540", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.withwaymo.com/jobs?gh_jid=7901963", "externalId" : "7901963", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, Flume, Borg, Protocol Buffers, OnePlatform", "professionalSkills" : [ "System design", "Fleet management", "Product minded" ], "hardSkillsList" : [ "Algorithm design", "Software implementation", "System design tradeoffs", "Data analysis", "System instrumentation" ], "softSkillsList" : [ "Self-sufficient" ], "hardSkills" : [ { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "Software implementation", "level" : "intermediate" }, { "name" : "System design tradeoffs", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "System instrumentation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-sufficient" } ], "majorSkills" : "Fleet optimization, Algorithm implementation, System design", "majorSkillsList" : [ "Fleet optimization", "Algorithm implementation", "System design" ], "coreResponsibilities" : "Design algorithms, Implement software, Solve real world problems, Make system design tradeoffs, Instrument systems, Analyze data, Build mission-critical tools, Evolve mission-critical tools, Own mission-critical tools, Operate mission-critical tools, Collaborate with Operators, Collaborate with Product, Collaborate with UX, Collaborate with data science, Collaborate with engineering teams", "teamCollaboration" : "Cross-team collaboration; Cross functional environments; Nontechnical stakeholders", "domainKnowledge" : "Computer science; Optimization; Fleet management; System response; System modelling; Gradient descent; Linear algebra; Filtering; Linear control; State space control; Stochastic control; Feedback control; Constraint optimization; Linear programming; Multidimensional systems", "domainList" : [ "computer-science", "optimization", "fleet-management", "system-response", "system-modelling", "gradient-descent", "linear-algebra", "filtering", "linear-control", "state-space-control", "stochastic-control", "feedback-control", "constraint-optimization", "linear-programming", "multidimensional-systems" ], "domainSpecificKnowledge" : [ "Computer science", "Optimization", "Fleet management", "System response", "System modelling", "Gradient descent", "Linear algebra", "Filtering", "Linear control", "State space control", "Stochastic control", "Feedback control", "Constraint optimization", "Linear programming", "Multidimensional systems" ], "toolProficiency" : [ "Google infrastructure" ], "problemSolvingSkills" : "Troubleshoot; Identify opportunities", "qualificationsBasic" : "BS degree in Computer Science, 5+ years of direct coding experience, Backend or infrastructure preferred", "qualificationsPreferred" : "Experience implementing algorithms, Practical knowledge in dynamics, Practical knowledge in optimization, Practical knowledge in control, Practical knowledge in operations research, Implementing design patterns, Passion for working in cross functional environments, Familiarity with Google infrastructure, Experience with operations tooling, Experience with developer productivity, Experience with developer tools", "workSiteFlexibility" : "Onsite", "rawDescription" : "Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U. S. states. The ideal candidate is someone who can be self-sufficient and product-minded. You will be working on cross-cutting problems that will require strong cross-team collaboration, both technically (mobile app, cloud backends, and the Waymo Driver) and functionally (operations, product, legal, partnerships, policy & privacy) to develop and deliver business critical infrastructure. You will: Algorithm design and software implementation to solve multi-disciplinary real world problems at the intersection of computer science, optimization and fleet management. Make informed tradeoffs in system design around real world system realities in fleet optimization. Instrument systems and analyze data to understand behaviors, troubleshoot, and identify opportunities. Build, evolve, own, and operate mission-critical tools and systems. Collaborate with Operators on the ground, Product, UX, data science, and other engineering teams to develop You have: BS degree in Computer Science or equivalent practical experience. 5+ years of direct coding experience. Backend or infrastructure preferred.. Experience with backend coding languages: C++, (secondary Python). We prefer: Experience implementing algorithms for multidimensional systems. Practical knowledge in any of the fields of dynamics (system response, mechanics, system modelling) , optimization (gradient descent, linear algebra, filtering), control (linear, state space, stochastic, feedback control), operations research (constraint optimization, Linear programming) and/or implementing design patterns. Passion for working in cross functional environments that include nontechnical stakeholders Familiarity with Google infrastructure (e. g. Flume, Borg, Protocol Buffers, OnePlatform) Experience with operations tooling, developer productivity, or developer tools Strong bias for action. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $175,000—$215,000 USD", "summaryDescription" : "Software Engineer, Fleet Optimization at Waymo. Skills: Fleet optimization, Algorithm implementation, System design. Design algorithms. Implement software", "postedDate" : "2026-06-11T23:02:19.505", "createdAt" : "2026-06-11T23:02:19.505", "lastUpdated" : "2026-06-14T22:19:10.276", "ingestTimestamp" : "2026-06-11T23:02:19.505", "mongoId" : "6a2a48fe74d8ee00a05e3169", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Algorithm design", "Software implementation", "System design tradeoffs", "Data analysis", "System instrumentation", "Self-sufficient", "Fleet optimization", "Algorithm implementation", "System design", "Fleet management", "Product minded", "Computer science", "Optimization", "System response", "System modelling", "Gradient descent", "Linear algebra", "Filtering", "Linear control", "State space control", "Stochastic control", "Feedback control", "Constraint optimization", "Linear programming", "Multidimensional systems", "Google infrastructure" ], "skillCount" : 26, "jobCategory" : "other", "jobSubcategory" : "csi-(7lv)", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "68c2e406f8b1b0376634c12a", "title" : "NW Deployment Edge Lead I, GND-NASA-Deploy", "company" : "Amazon Data Services, Inc.", "industry" : "Operations, IT, Support Engineering, Data Center Operations, Cloud Computing", "salary" : { "min" : 61700.0, "max" : 138100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Chicago, Illinois, USA", "locations" : [ "Chicago, Illinois, USA" ], "timestamp" : "2026-06-15T05:13:30.110", "fingerprint" : "c94c3bf4eee5f3ea14ec4a83719a4c9286f0d23c13b4288e26baa39c55abe5bf", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078581/apply", "externalId" : "0717df28-2720-4745-b012-1c3d2a179d54", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.8755616,-87.6244212" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. As a Colocation Technician in AWS, you will get to help build and maintain a Cloud Computing Infrastructure across a number of local and remote Edge locations in the Americas. The role involves some periods working independently from your team and requires the ability to drive change while maintaining excellent communication. Key job responsibilities • Installation and configuration of routers, switches and DWDM hardware. • Troubleshoot fiber optic and copper cabling, network installations and configuration. • Coordinating colocation remote hands for new capacity installations. • Coordinating colocation remote hands and eyes for any network issues. • Resolving colocation facility issues. • Identify, coordinate, and remediate outside plant (OSP) connectivity issues. • Participating in small to mid-size projects creating or expanding colocation sites. • Building relationships with remote facilities to ensure swift response times to events. • Performing site audits to ensure safety and quality meets AWS standards. • Improving all operational processes within each site and/or cage. • Updating AWS tools. • Providing status updates to stakeholders via internal tools. • Decommissioning of cabling and network hardware in collaboration with partner teams as needed. • Physical Requirements (all physical requirements may be done with reasonable accommodations). • This position has a physical component requiring the ability to lift & rack equipment up to 40lbs; it may require working in cramped spaces or in elevated locations while adhering to health & safety guidelines. • This role involves up to 60% travel, the vast majority is local travel but may have potential to include some including some international travel at times. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 4+ years of experience in delivering network projects - 2+ years of experience with optical troubleshooting, installation and deployment. Knowledge of network cabling, optic types, and test equipment, such as VFL, power meter, and OTDR. - Work closely with our Network Engineering & Network Technical Project Manager teams to ensure fast, smooth rollout of new designs and products. - Ability to work collaboratively, remove project obstacles, and drive initiatives with various stakeholders Preferred Qualifications: - Data Center Operations experience (racking & stacking devices, cable management, hot & cold aisle containment knowledge). - Experience in participating in on-call rotations, and providing after-hours support in an environment that operates 24/7. - Experience with troubleshooting server devices and understanding key functions of internal outer components. - Understanding of file systems and Operating systems such as Linux, Windows, MAC. - Experience with storage devices - Excellent analytical skills - Project management skills - Knowledge or awareness of IT best practice frameworks (ITIL, COBIT) - Operational Excellence concepts or methodologies is a plus 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 $61,700/year in our lowest geographic market up to $138,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. 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"Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 8, "experienceLevel" : "Senior", "technicalSkills" : "Python, Java, C++, Go, JavaScript, TypeScript, React, Angular, Vue, Node.js, SQL, NoSQL, PostgreSQL, MySQL, MongoDB, Cassandra, Redis, AWS, Azure, GCP, Docker, Kubernetes, Terraform, Ansible, CI/CD, Jenkins, GitLab CI, REST, GraphQL, Microservices, Distributed systems, Machine Learning, Deep Learning, Data pipelines, ETL, Spark, Hadoop, Kafka, Airflow", "professionalSkills" : [ "System design", "Architecture design", "Problem solving", "Analytical skills" ], "hardSkillsList" : [ "Software development", "Cloud computing", "DevOps practices", "Data engineering", "Machine learning", "Algorithm design", "Database management", "Network security", "API design", "Testing methodologies" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : 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Implement security best practices, Develop and manage data pipelines, Build and train machine learning models, Optimize database performance, Write technical documentation", "teamCollaboration" : "Cross-functional teams; Agile methodologies; Code reviews; Knowledge sharing", "projectManagementSkills" : [ "Agile", "Scrum", "Kanban" ], "domainKnowledge" : "Distributed systems; Cloud-native architecture; Microservices architecture; Data structures; Algorithms; Software development lifecycle", "domainList" : [ "distributed-systems", "cloud-native-architecture", "microservices-architecture", "data-structures", "algorithms", "software-development-lifecycle" ], "domainSpecificKnowledge" : [ "Distributed systems", "Cloud-native architecture", "Microservices architecture", "Data structures", "Algorithms", "Software development lifecycle" ], "toolProficiency" : [ "Git", "Docker", "Kubernetes", "Terraform", "Jenkins", "JIRA", "Confluence" ], "communicationSkills" : "Technical documentation; Code 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Our mission is simple: build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers. **_What Makes Q2 Special?_** Being as passionate about our people as we are about our mission. We celebrate our employees in many ways, including our “Circle of Awesomeness” award ceremony and day of employee celebration among others! We invest in the growth and development of our team members through ongoing learning opportunities, mentorship programs, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun. We hold an annual Dodgeball for Charity event at our Q2 Stadium in Austin, inviting other local companies to play, and community organizations we support to raise money and awareness together. **SUMMARY** Q2 is seeking an ambitious and adaptable Software Engineer experienced in team-based development. As part of the Engineering Development group, you will work individually and collaboratively to develop, implement, and support custom solutions through fast-paced, dynamic projects involving components at every level of the Q2 platform. Ideal candidates are self-motivated, enjoy tinkering, and are comfortable learning rapidly while engineering solutions using a mix of open technologies and proprietary frameworks. **RESPONSIBILITIES** • Design, implement, integrate, and test software solutions of moderate complexity, including Windows- and Linux-based front-end and back-end components. • Deliver solutions in live production systems individually and collaboratively. • Support, maintain, and resolve issues for custom features in production systems; occasional on-call availability may be required. • Ensure adherence to all security, availability, confidentiality, and privacy policies and controls. • Assist and mentor teammates, providing technical leadership and advocating best practices. **EXPERIENCE AND KNOWLEDGE** • Bachelor’s degree in Computer Science, Information Systems, or equivalent experience. • 5–8 years of software development experience. • Full-stack .NET development (SQL Server, C#, HTML/CSS, JavaScript). • Familiarity with MVVM and front-end frameworks (Vue, Angular, React). • Experience with test automation frameworks and auto-mocking tooling. • Practical experience with multiple design patterns and SOLID principles. • Domain experience in banking is a plus. • Proficiency in Python and SQL. • Web development experience. • Strong analytical, problem-solving, and communication skills. • Experience in all aspects of the software development life cycle and service-oriented architecture. • Experience in Agile development environments. • Ability to work flexible hours and provide occasional on-call/emergency support. _This position requires fluent written and oral communication in English. _ **_Health & Wellness_** * Hybrid Work Opportunities * Flexible Time Off * Career Development & Mentoring Programs * Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents * Community Volunteering & Company Philanthropy Programs * Employee Peer Recognition Programs – “You Earned it” Click [here](https://www.q2.com/careers) to find out more about the benefits we offer. **_Our Culture & Commitment:_** We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program ([see more](http://www.q2.com/community)). We believe in making an impact—in the industry and in the community. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.", "summaryDescription" : "Senior Software Engineer at Q2. Skills: Software Engineering, Cloud Computing, DevOps, AI/ML. Design scalable software systems. 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FL 7,8,9,11 (Hyderabad - Divyasree 3)", "locations" : [ "India, Hyderabad, DVS, SEZ-1 – Orion B4; FL 7,8,9,11 (Hyderabad - Divyasree 3)" ], "timestamp" : "2026-06-16T11:23:18.367", "fingerprint" : "526542d5b20fb56ed62d853ff3987e5779b231bb89ad8ded526ff81fa7942521", "source" : "workday", "language" : "en", "applyUrl" : "https://factset.wd108.myworkdayjobs.com/FactSetCareers/job/India-Hyderabad-DVS-SEZ-1--Orion-B4-FL-78911-Hyderabad---Divyasree-3/Internal-Posting---Senior-Software-Engineer---DSE---Entity-Intelligence-and-Deep-Sector_R31878-1", "externalId" : "R31878", "industryFunction" : { }, "locationPoint" : "17.38405,78.45636", "structuredLocations" : [ { "city" : "Hyderabad", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, AWS, AI-assisted coding", "professionalSkills" : [ "Software solutions design", "Software solutions building", "Technical troubleshooting", "Analytical troubleshooting", "Communication skills", "Interpersonal skills", "Articulate technical concepts" ], "hardSkillsList" : [ "Data pipelines", "Web services", "RESTful API design", "RESTful API development", "Database query tuning", "Workload tuning" ], "hardSkills" : [ { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Web services", "level" : "intermediate" }, { "name" : "RESTful API design", "level" : "intermediate" }, { "name" : "RESTful API development", "level" : "intermediate" }, { "name" : "Database query tuning", "level" : "intermediate" }, { "name" : "Workload tuning", "level" : "intermediate" } ], "majorSkills" : "Python, AWS, Data Engineering, API Development", "majorSkillsList" : [ "Python", "AWS", "Data Engineering", "API Development" ], "coreResponsibilities" : "Parse financial documents, Extract financial documents, Enrich financial documents, Expose wrappers, Expose APIs, Expose AI solutions, Work on Carbon products, Develop scalable solutions, Develop performant solutions, Develop resilient solutions, Develop cost-effective solutions, Own end-end product development, Own end-end deployment, Make technical contributions, Enhance stability, Enhance performance, Explore open-source opportunities, Improve workflows, Collaborate with stakeholders, Understand requirements, Prioritize requirements, Adhere to Agile Methodology, Improve performance metrics, Support On Call, Participate in code reviews, Participate in technical discussions, Participate in stakeholders meetings, Stay up to date, Suggest process improvements, Enhance system performance, Enhance system reliability, Work closely with team lead, Take responsibility for execution, Plan assigned jobs, Perform assigned jobs, Complete multi-step projects, Lead engineering projects, Contribute in technical design, Collaborate with engineers, Collaborate with teammates, Communicate with stakeholders", "teamCollaboration" : "Cross-functional teammates", "projectManagementSkills" : [ "Agile Methodology" ], "domainKnowledge" : "Financial documents; Data collection", "domainList" : [ "financial-documents", "data-collection" ], "domainSpecificKnowledge" : [ "Financial documents", "Data collection" ], "communicationSkills" : "Articulate technical concepts", "continuousLearning" : "Stay up to date with emerging technologies", "innovationCreativity" : "Explore open-source opportunities", "problemSolvingSkills" : "Problem-solving skills; Analytical skills; Troubleshooting skills", "specialRequirements" : "On Call rotation", "qualificationsBasic" : "Undergraduate degree in Computer Science, 5+ years software development, 5+ years data pipelines, 5+ years web services, Python knowledge, AWS working experience, AI-assisted coding experience", "qualificationsPreferred" : "Problem-solving skills, Analytical skills, RESTful API design, RESTful API development, Tune database queries, Tune database workloads, Onboard internal systems, Apply internal processes", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "FactSet creates flexible, open data and software solutions for over 200,000 investment professionals worldwide, providing instant access to financial data and analytics that investors use to make crucial decisions. At FactSet, our values are the foundation of everything we do. They express how we act and operate, serve as a compass in our decision-making, and play a big role in how we treat each other, our clients, and our communities. We believe that the best ideas can come from anyone, anywhere, at any time, and that curiosity is the key to anticipating our clients’ needs and exceeding their expectations. **Your Team 's Impact** We’re looking for a Senior Software Engineer to join our document processing team(Carbon) in India, which is responsible parsing, extraction and enrichment of financial documents used at FactSet at scale, and expose wrappers, API's and AI empowered solutions for data collection teams and clients. The team currently handles millions of documents of different types, and serves as one of the foundations teams for data collection at FactSet. The team: 5 software engineers based out of Hyderabad and Paris Technical stack: Python, AWS, AI-assisted coding experience **** **What You 'll Do** As a Senior Software Engineer, you will be responsible for: * FactSet is seeking for a software engineer with proficiency in Python to work on Carbon products dealing with high scalability, performance, resilience, and cost-effective solutions. * Ownership on end-end product development & deployment deliverables. * Making strong technical contributions to projects with a focus on new enhancements, stability, and performance. * Strategically explore open-source opportunities to improve our workflows. * Collaborate with Content stakeholders to understand and prioritize their requirements. * Ensure adherence to Agile Methodology by working with Coaches, Scrum master’s and Product Owners * Performance Improvements with the help of metrics provided by automatic monitoring all engineering artifacts * Supporting On Call during India business hours on a rotation basis, as well as out of hours in the event of escalations for product areas you lead * Actively participating in code reviews, technical discussions and stakeholders’ meetings * Stay up to date with emerging technologies and best practices in data engineering and suggest process improvements to enhance system performance and reliability. * Being self-driven, working closely with the team lead, and taking responsibility for independent project execution Work allocation: * Responsible for planning and performing all assigned jobs in an efficient manner without guidance * Successfully completes multi-step projects with less-well-defined problem definitions * Leads distinct engineering projects independently * Contributes in a technical design capacity within their project area * Acts as a resource to others; collaborates effectively with other engineers and cross-functional teammates * Communicates effectively with project stakeholders **** **What We 're Looking For** * Undergraduate degree in Computer Science or equivalent. * 5+ years of hands-on experience in software development with a focus on data pipelines and web services * Strong knowledge of Python and working experience of AWS * Experience in AI-assisted coding **** **Desired Skills:** * Strong problem-solving and analytical skills * Solid track record of designing and building robust software solutions * Strong technical, analytical, troubleshooting, and communication skills * Familiarity with RESTful API design and development * **** Strong communication, organization, and interpersonal skills * Ability to articulate technical concepts to technical and non-technical audiences * The ability to tune database queries and workloads for improving performance and scale will be highly desired * Ability to onboard and apply internal systems and processes for developing and deploying robust software solutions **What 's In It For You** * At FactSet, our people are our greatest asset, and our culture is our biggest competitive advantage. Being a FactSetter means: * The opportunity to join an S&P 500 company with over 45 years of sustainable growth powered by the entrepreneurial spirit of a start-up. * Support for your total well-being. This includes health, life, and disability insurance, as well as retirement savings plans and a discounted employee stock purchase program, plus paid time off for holidays, family leave, and company-wide wellness days. * Flexible work accommodations. We value work/life harmony and offer our employees a range of accommodations to help them achieve success both at work and in their personal lives. * A global community dedicated to volunteerism and sustainability, where collaboration is always encouraged, and individuality drives solutions. * Career progression planning with dedicated time each month for learning and development. * [Business Resource Groups](https://www.factset.com/our-company/values) open to all employees that serve as a catalyst for connection, growth, and belonging. * Learn more about our benefits [here](https://www.factset.com/careers#:~:text=who%20we%20hire-,Our%20Benefits,-Around%20the%20globe). Salary is just one component of our compensation package and is based on several factors including but not limited to education, work experience, and certifications**.** **Company Overview:** FactSet (NYSE:FDS | NASDAQ:FDS) helps the financial community to see more, think bigger, and work better. Our digital platform and enterprise solutions deliver financial data, analytics, and open technology to more than 8,200 global clients, including over 200,000 individual users. Clients across the buy-side and sell-side, as well as wealth managers, private equity firms, and corporations, achieve more every day with our comprehensive and connected content, flexible next-generation workflow solutions, and client-centric specialized support. As a member of the S&P 500, we are committed to sustainable growth and have been recognized among the Best Places to Work in 2023 by Glassdoor as a Glassdoor Employees’ Choice Award winner. Learn more at [ _www.factset.com_](https://www.globenewswire.com/Tracker?data=_XI1n3vky7tzvKmOIg64VAMf2gfeLXhLWIS-dbiYQsykMJkwMR0ue-olaGTyVNt4YtJmln4JPfS4YyDAhnubBFc6kqHOoiyJrg03yjYDyTfIrExwDluKtmVmj8LZTPPcI4iFxMNdQHlheRyZcv-Qxrw_IKYiAhq91oRL2cAX8YRwhpB_KcvqPwVDnyjQGqMOCujFtAM4GfpxatMpH7Si_uCxk_XyZpKv6Rl5a6kj2NFVPNZcTqE_NqHLwVVlrEQycVSEm7hPM8aekzWy2DuRyRNX6wy7DuoGNFvrY_5LKsBf4YFyo-G0oUSTphnWCgfw99i4Nxh9RiOYXoaVWWQ0LKizT68bQ-KdCoU2PUR1bMyC1gHsQ6qCK34L-rzJeL_r1gK2fa1S1fHKzQ-WVEVsRz1b8Cubqen2NOL6epE3PTSqtq71vI6vGivm2icDB3_Y6q9l6wSvlKektfI3WlZStaavjNoHpF5zGKbOIVRTIan0ZrKTVVnbmK7DY03MBoCg6AhJtLWhxXfg5Yd7sxaeuFUL19G_y4a4y71M42nXdzHp3ZcGNwHRYJgQg_roZgDciuIqUrr99v159fHTxHMGr1QbRxxONNEM7L6WjV6L8gtN1NDQZUQ9N6a8enKj90uSUx-14anRSOyJfhqy79L0O9ugMPBtBwE5sr8ZUuF0QFGkqikF3xTMR_Q8tFndGq4lIRx8ZmY5wJZGBbL9wThnRA==) and follow us on [ _X_](https://www.globenewswire.com/Tracker?data=E1EEA5DnxruDQwOYIVjn6E8lQO1NSFClSua6DYAdia2-hIxRQddVqu07Xz-qtDVaE-cvUovA0ajziCr9J-2qH7ct1AmDWsw3PUK90xhedNaPJ9IRkkLs3Hd3HwN3ruESKVh1f7qPxokDT3al0iI4aClQ5z5CSbpzAoWJ7Oo5gMU88PvcKW0GazQGYk69dwEGBjqtGf70qWJeGbbYRqR9Xb-OtCVaWhyQEZ9-suxCO56JCbEVeP-zQ2_rxLeue-9HW3ca_iHxgnWs7DbskTWh3Aorof1KavBTuZm11zTN9GgS71UWPaqlr7PdSwtBs_xEusjGznqhqnjlUKgKcnWbHC6HjdfVRpBTkgb_JFh9eSQYHHjyiaPNLtU6zMGO6EraQAUNvURVWRj3TMrjNCrLxauUTQfha0haD9YlTVqlTe42x0Zl4pk7V74KL2uLwM5hDu_pqJReENfIaiilMbLiD6HssY1unEfWdCsapkC4CakN4LFDPhZafHBdfvfq0KqBLP_HR1lIdnhsriK6YVo-9rwFRgme_wYUwSmrrR_duqpjXKTFn-3wv2UaneUt6oSiemedvU06bhwSaRV-vPeKzj7gTI5PPC08tOVnmTQeTXqc8a6y4ffBPv9v_C9F5EG20Il_PNYhUb_0XZzbb8FQmAj_iNBv00Vbevzqm6pIVc676lhJczmzTMl9yXK3FomqC60a_cNS4eRzAh4znh-0jGmt2BBqhkqkE5a0aXPE7a-RHACKLQMWRbkkYN2QCfKAc0gAs_zPybs9-U-Co9Uh8GyhCu_DuWwgTRV9PuyiRDDAFwqnBGq1OJQL9CKgpcbWqxA08abvSVAhwrw3oH-1nhWpzz2e4MLdiT6gEqVBF9JKwPaCr3faq7pxYHqYRakdJpWvOGdFxyHtgFScIIIBM_C5aupwsNfhum-6f3aTEUmMT8UtjybUycUdm2lCX8rj-AOQ3u3c5821W5tuWj6uDA-KKYXAS-4WhghirYceK-iuGfVl0ZxzuVCmX2zV7_Kmf8MIaZLoTPXYnp9nKhd0mth4HaMmRKxNugruearYOThd5wYLSOFWduXheHSqOAo2NJsOGvWPhPeOyYKSpQw_V0fkGIYt-uI67ss-3zuC0PdJ6yEYbZ5klWobwFQtKcwmVTNX4gIubc_dyDXU8P6N541UXh0yCEDjljapwiYa7C5qvsGqADbVUgh8vd8xTwt5lnfI6FHQkC-6PQlilXWCGVJm9R38nwIqkNmUJwnyhaUvQO_dUqHG3Ae5UGwMJaycW7y9J8aKHHoLuaxVtgl4IB9Z87uNEtzT1qvqUsJXCVPOl_1-zZk3u2wW2rkxpHWZIlPEt_1xNAKhCoiuK2IpnQ==) and [ _LinkedIn_](https://www.globenewswire.com/Tracker?data=tefzhsWtoCm1Bl4eGm9rl2BvSyMtEAB4U49YHAKMv7flKb3cJiIAGUw9F5C_6KOf0LaPhLFGO8akFwxGebyyts02DXQHm_isi8h57R_JLoidx_XQJhXnedFHWq1zeVN9yz-gWd2e1kfv2lzJfSJ7fCMJe86gT2taUM5QJtQtaGuxcXgN17Hq0vFQmSLvJH8H34FJyYUEjRS7vpAJ_ufjURBf69BCKk5LxMus5cY9T14RidpuQu0MtQ_2U7YBN7Fac9MaZdYmsAgs9jOXj84xwnvbViRPDSVLFztn0DQPvcE9Isl2cg9-4JyU-O448HqgslacOop06z0eiPm0ylr5gohfvLiCPTZVvj_o5T10KO1sEfnhuqMzuWp95cWiTqbKI4_Oh5qo21dLxlatl3nFO2R4vTADJqB3vlp1_XQBsN8ywsbH1Hx69F7gSNp_GmOiCYtRctzSYPxuNEr7xluSUPGRmVYD7rVtKAiJnh88j3AusJ1hcYY8F1dkt_ePaz60XF77Yu3xoDtSVvY8JlG8TsMuXXydkD1_TfrluC9Q3jyH6SW1n8naHt5pvfGw7RnUk6pXnGQYuVSW1dvTpcLGuPppWEP2H98_kMuUyJwRpcxE-vcMhMrPBwpOJf3oqMKomRmCwuEfuRZ_TXybfOqDS9lJszPr9DjpwdoUgU1f-e2tR-Z0Z7DFuicjIn-XS9RrNrekjIXr_9JzX0LnB5l8XWlfDOxBQEqQMOJZ6A-FjCLB2F3-aeTdxzVMGWmQmoFPeyOe6WFXMrWvkovH3yNOopL9EB-eVmpe4S7ESHFROYD2gPNtNpAeZYEmYTl105iuaTXHHZ2d8njPd4MJb2NqP4lJkgsNFB_lUYRNtr05l3xRW0JsPzXE9znsQgiVILVoSusw07h913U2bJyOWcrQdCwQUVkh7CHMli9PyX8iBE42xVlPxcBdH8XFqXBLgYtPZ3k7uk-nyU0olCu3fRqpulUayIEbrIlGLCg_IvHFgkyS9waBmGne7KGeNWMidetjePEp3AXOvt9ohsG0R9CssRY3M0hPurl3xUxtGqU9gQK6KAHdHT5cQZ5e5xud7xeV4whDHap3T3LwBQgNd9gZ_rQj4ybXMX2W5xCCfBl7xPOilFqiS77H2iNjEFA0ofsPnwInmuneBzUKS-HwpbKZxZsLbEdlAG8ChQESOlz47JOnL4LvqQgJsGehpraACGmI8wvED9ooOI9Y4tLaIkRMycfpMZmozP0mUrDiw0uJax4Mb-Kr7RCtHk9NNCneAIODJsPd7S5V1rxof9ukJC6pd_6s7ORhPWwz_SEngrg57ES6JiyLb9owUp71LKsOa08k3fSY5pS9haK2AOiYqk3VjTLY7fcXnpH4Dg-7u8B1EuaEIhYQO8arqcRCSrJsm64epIMGfyzO4LacEHBomEhUUtsMiiyexekvnS0TBOY9B6AWdWSH47TXT3TiWG77Iat0L_Kponz0BhpjzoefDPXbw2YyZp9BjFsY1BFbo3Z6Sz4=). At FactSet, we celebrate difference of thought, experience, and perspective. Qualified applicants will be considered for employment without regard to characteristics protected by law.", "summaryDescription" : "Senior Software Engineer at FactSet. Skills: Python, AWS, Data Engineering, API Development. Parse financial documents. 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We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market. With over $100M in TCV secured within 12 months, and a new $50M Series B led by Highland Europe, Unframe is rapidly scaling globally alongside Fortune 500 customers, backed by Bessemer, Craft, and TLV. About the role: You’ll be responsible for solving some of the most complex engineering challenges at Unframe. This role is deeply technical: designing architectures, debugging hard problems, improving core systems, and building reliable foundations for AI-native products.When something mission-critical needs to get done, you’re the engineer we trust. What you’ll do: Own end-to-end architecture and implementation of complex backend and system components. Design scalable, reliable services that support high-velocity product development. Dive deep into hard problems across performance, data modeling, stability, and APIs. Partner with platform, applied AI, and fullstack teams to land robust, observable systems. Improve system reliability and developer experience through tooling, standards, and architecture. What we are looking for: 6+ years in software engineering with strong evidence of owning complex systems. Deep proficiency in Node.js (clean backend architecture is key). Strong relational database fundamentals (PostgreSQL) and experience designing data models. Exceptional debugging skills and strong engineering judgment. Fast learner with the ability to ramp into new domains independently. Nice to have: Experience with distributed systems, caching, messaging, or multi-tenant architectures. Experience integrating AI/LLM capabilities into backend systems. Infra or platform experience (observability, CI/CD tooling, APIs). Why join us? Real ownership from day one. Drive decisions, shape ideas and make them work. Your fastest learning years. Build alongside founders and VPs in a space that moves weekly. You'll have the opportunity to write and build what comes next. Ready to Build the Future? If this opportunity excites you, apply now!", "summaryDescription" : "Senior Software Engineer at Unframe. Skills: Backend systems, System reliability. Own architecture implementation. Implement complex backend components", "postedDate" : "2026-06-16T01:16:04.001", "createdAt" : "2026-06-16T01:16:04.001", "lastUpdated" : "2026-06-16T14:36:52.885", "ingestTimestamp" : "2026-06-16T01:16:04.001", "mongoId" : "6a306f2df292fd229cfe5d9d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Backend architecture", "Data modeling", "Backend systems", "System reliability", "System design", "AI-native products", "LLM-powered applications" ], "skillCount" : 7, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a660774d8ee00a062b93b", "title" : "Senior Software Engineer - Deployment Infrastructure, EBS Server Agility", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 227400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T06:11:12.548", "fingerprint" : "7005468c68f0dfd7efa2d15ba499e376ebc9405b1298bbdf33be0dd23ec83f3a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443590/apply", "externalId" : "419bd2d2-c875-47a7-864d-925daa4bc7d6", "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", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, EBS", "professionalSkills" : [ "System design", "Deployment engineering" ], "hardSkillsList" : [ "Automated security patching", "Deployment orchestration", "Canary analysis", "Anomaly detection", "Self-healing automation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Automated security patching", "level" : "intermediate" }, { "name" : "Deployment orchestration", "level" : "intermediate" }, { "name" : "Canary analysis", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Self-healing automation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Deployment infrastructure, Server agility, Autonomous systems", "majorSkillsList" : [ "Deployment infrastructure", "Server agility", "Autonomous systems" ], "coreResponsibilities" : "Architect deployment pipelines, Design automated security patching, Build safe deployment orchestration, Design automated canary analysis, Build secure operational infrastructure, Drive autonomous server deployments, Extend deployment capabilities, Lead design reviews, Establish best practices, Analyze deployment data, Design automated anomaly detection, Brainstorm rollout strategies, Drive automation, Partner on cross-service integrations", "teamCollaboration" : "Principal engineers; EC2 teams; EBS teams; Cross-organizational boundaries", "domainKnowledge" : "Stateful storage systems; Server deployment; Cloud-native architecture; Edge environments", "domainList" : [ "stateful-storage-systems", "server-deployment", "cloud-native-architecture", "edge-environments" ], "domainSpecificKnowledge" : [ "Stateful storage systems", "Server deployment", "Cloud-native architecture", "Edge environments" ], "communicationSkills" : "Technical leadership", "innovationCreativity" : "Design from first principles", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "outcomesObjectives" : "Zero customer impact; Maintain manifest consistency; Zero data loss; Detect deployment issues; Act before customers impacted", "qualificationsBasic" : "5+ years software development experience, 5+ years programming experience, 5+ years leading design or architecture, 5+ years experience as mentor or tech lead", "qualificationsPreferred" : "5+ years full SDLC experience, Computer science degree preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "If building secure, autonomous systems that safely deploy server software to one of the world's largest storage services excites you, the EBS Server Agility team is the place to do it. Our team builds and operates the deployment and patching infrastructure that keeps EBS server software current and secure across 400,000 bare-metal servers — infrastructure that serves millions of AWS customers and exabytes of data every day. We're looking for a Senior Software Development Engineer to drive the technical direction of our deployment and patching systems — from automated security patching that reaches every server every 15 days to train deployment pipelines that safely roll out new server software across dozens of AWS regions with zero customer impact. You'll lead the design of solutions to complex problems involving safe deployment to stateful storage systems, automated rollback and canary analysis, manifest consistency, and the transition from operator-in-the-loop to secure, autonomous server deployments. Server deployment at EBS sits in the critical path for security compliance and feature velocity. We shape how EBS server software evolves to support new hardware platforms, new partitions (including edge and outpost), and new operational models. We regularly partner with principal engineers and teams across EC2 and EBS to deliver integrations that make server deployments safer and more efficient. If you want your technical leadership to have real impact at AWS scale, and you're excited by building secure systems that deploy themselves, we'd love to talk to you. Key job responsibilities - Architect and own deployment pipelines that safely deliver EBS server software across all AWS regions and partitions with zero customer impact - Design and build automated security patching workflows that maintain manifest consistency and keep server software patched on a biweekly cadence - Build safe deployment orchestration for stateful storage — coordinating with the storage engine to drain, update, and restore service without data loss - Design automated canary analysis and rollback mechanisms that detect deployment issues and act before customers are impacted - Build secure, zero-access operational infrastructure for deployment observability and autonomous server operations - Drive toward secure, autonomous server deployments through AI-powered anomaly detection and self-healing automation - Extend deployment and patching capabilities to new partitions and edge environments - Lead design reviews and establish best practices for deployment safety across the team A day in the life Your work spans the full range of deployment engineering — from working through new payload requests and figuring out how to safely integrate new server components into the deployment train, to analyzing deployment data to identify inefficiencies and designing automated anomaly detection for the deployment services. You'll brainstorm rollout strategies for hotfixes that can't wait for the regular cadence, drive automation that eliminates manual operator steps, and partner with principal engineers and teams across EBS and EC2 on cross-service deployment integrations. This is a high-visibility role. Server deployment decisions affect every EBS customer, and your work is regularly reviewed by senior leadership. You'll collaborate across organizational boundaries, influence technical direction beyond your immediate team, and represent deployment safety in discussions that shape how EBS evolves. We value senior engineers who lead through ambiguity, reduce toil through smart automation, make principled tradeoffs between speed and safety, and elevate those around them. About the team You'll join a group of strong engineers who own the server deployment and patching infrastructure for EBS. We design and operate deployment pipelines that safely deliver validated server software to 400,000 bare-metal servers, automated patching systems that keep server software secure on a biweekly cadence, metrics collection infrastructure for deployment observability, and secure operational tooling for autonomous server operations. We move fast to deliver for customers while maintaining operational excellence across these mission-critical services. We're a 10-person team in Boston building toward a future where server software patches and deploys itself — safely, securely, on schedule, with full visibility. There's significant greenfield opportunity: safe deployment to stateful bare-metal systems at global scale has almost no off-the-shelf solutions, so you'll be designing from first principles. Basic Qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team Preferred Qualifications: - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, MA, Boston - 168,100.00 - 227,400.00 USD annually", "summaryDescription" : "Senior Software Engineer - Deployment Infrastructure, EBS Server Agility at Amazon Development Center U.S., Inc.. Skills: Deployment infrastructure, Server agility, Autonomous systems. Architect deployment pipelines. Design automated security patching", "postedDate" : "2026-06-13T14:31:47.410", "createdAt" : "2026-06-13T14:31:47.410", "lastUpdated" : "2026-06-15T06:11:12.548", "ingestTimestamp" : "2026-06-13T14:31:47.410", "mongoId" : "6a2a660774d8ee00a062b93b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443590/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 227400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Automated security patching", "Deployment orchestration", "Canary analysis", "Anomaly detection", "Self-healing automation", "Leadership", "Deployment infrastructure", "Server agility", "Autonomous systems", "System design", "Deployment engineering", "Stateful storage systems", "Server deployment", "Cloud-native architecture", "Edge environments" ], "skillCount" : 15, "jobCategory" : "engineering", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a305790f292fd229cf3b853", "title" : "Senior Software Engineer", "company" : "Globalli", "industry" : "SaaS", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer in Mexico City, Mexico, adjusted for SaaS industry and full-time onsite employment." }, "location" : "Mexico City, Mexico City, Mexico", "locations" : [ "Mexico City", "Mexico City", "Mexico" ], "timestamp" : "2026-06-16T08:02:21.577", "fingerprint" : "e74a809d3a7e100b1248e0d0636f0ffbe3edf2c5d076cd8b75efca335ec0f0cb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/globalli/jobs/5164970007", "externalId" : "5164970007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mexico City", "state" : "Mexico City", "country" : "Mexico", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "19.4326296,-99.1331785" } ], "locationText" : "Mexico City, Mexico City, Mexico", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 7, "experienceLevel" : "Senior", "technicalSkills" : "Full-stack development, APIs, Microservices, Database systems, AWS, Cloud-based environments, CI/CD pipelines, Version control systems, Secure coding practices", "professionalSkills" : [ "Technical design", "System design" ], "hardSkillsList" : [ "Software development", "Coding standards", "Engineering best practices", "Test coverage", "Production issues", "Technical debt", "Domain knowledge" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Coding standards", "level" : "intermediate" }, { "name" : "Engineering best practices", "level" : "intermediate" }, { "name" : "Test coverage", "level" : "intermediate" }, { "name" : "Production issues", "level" : "intermediate" }, { "name" : "Technical debt", "level" : "intermediate" }, { "name" : "Domain knowledge", "level" : "intermediate" } ], "majorSkills" : "Software Development, DevOps, Cloud, AI/ML, Data Engineering, Security", "majorSkillsList" : [ "Software Development", "DevOps", "Cloud", "AI/ML", "Data Engineering", "Security" ], "coreResponsibilities" : "Design software features, Develop software features, Test software features, Maintain software features, Build full-stack solutions, Deliver production-ready code, Participate in implementation, Translate technical requirements, Participate in sprint planning, Support system design, Contribute technical input, Ensure adherence to standards, Work closely with stakeholders, Participate in code reviews, Provide constructive feedback, Collaborate with QA/TAE, Ensure adequate test coverage, Support troubleshooting, Resolve production issues, Write clean code, Write testable code, Write maintainable code, Ensure proper testing coverage, Identify bugs, Identify technical debt, Identify improvement opportunities, Develop technical expertise, Develop domain knowledge, Stay current with practices, Stay current with tools, Support knowledge sharing", "teamCollaboration" : "Distributed teams; Lead Developers; Product teams; QA/TAE engineers; Other stakeholders", "projectManagementSkills" : [ "Agile development", "Sprint planning" ], "domainKnowledge" : "global payroll; EOR; HCM platform; HR tech; payroll; fintech; workforce management; Multi-tenant SaaS", "domainList" : [ "global-payroll", "eor", "hcm-platform", "hr-tech", "payroll", "fintech", "workforce-management", "multi-tenant-saas" ], "domainSpecificKnowledge" : [ "global payroll", "EOR", "HCM platform", "HR tech", "payroll", "fintech", "workforce management", "Multi-tenant SaaS" ], "toolProficiency" : [ "Version control systems" ], "continuousLearning" : "Continuously develop technical expertise; Continuously develop domain knowledge; Stay current with modern engineering practices; Stay current with modern engineering tools; Support knowledge sharing", "problemSolvingSkills" : "Troubleshooting; Resolution of production issues; Identify bugs; Identify technical debt; Identify improvement opportunities", "qualificationsBasic" : "5–7+ years software engineering experience, Experience building SaaS, Experience building enterprise software, Experience working in Agile, Experience collaborating with distributed teams, Bilingual English/Spanish required", "qualificationsPreferred" : "Global payroll platforms, HR tech platforms, Payroll platforms, HCM platforms, Fintech platforms, Workforce management platforms, Multi-tenant SaaS environments, Fast-paced startup environments, QA automation exposure, Test-driven development environments", "rawDescription" : "The Senior Software Engineer is a high-impact individual contributor responsible for designing, building, and maintaining core components of Globalli’s global payroll, EOR, and HCM platform. This role works closely with Lead Developers and Product teams to deliver scalable, secure, and high-quality software solutions. Senior Software Engineers are expected to operate with autonomy, contribute to technical design discussions, and support junior engineers within their squad. This role may work in distributed teams across LATAM and the Americas, so bilingual proficiency in English and Spanish is required. Key Responsibilities Software Development Design, develop, test, and maintain scalable software features and platform components Build full-stack solutions including APIs, backend services, frontend components, and integrations Deliver high-quality, production-ready code with minimal supervision Participate in implementation of complex features within assigned domain areas Technical Execution Translate technical requirements into well-structured, maintainable code Participate in sprint planning and estimation with Lead Developers and Product teams Support system design discussions and contribute technical input Ensure adherence to coding standards and engineering best practices Collaboration Work closely with Lead Developers, Product Managers, QA/TAE engineers, and other stakeholders Participate in code reviews and provide constructive feedback Collaborate with QA/TAE to ensure adequate test coverage and release readiness Support troubleshooting and resolution of production issues Quality & Engineering Standards Write clean, testable, and maintainable code Ensure proper testing coverage (unit, integration, and functional where applicable) Support continuous improvement of engineering practices Identify bugs, technical debt, and improvement opportunities Learning & Growth Continuously develop technical expertise and domain knowledge Stay current with modern engineering practices and tools Support knowledge sharing within the engineering team Qualifications Experience 5–7+ years of software engineering experience Strong experience building SaaS or enterprise software applications Experience working in Agile development environments Experience collaborating with distributed teams Technical Skills Strong full-stack development experience Experience with APIs, microservices, and database systems Familiarity with AWS or cloud-based environments Experience with CI/CD pipelines and version control systems Understanding of secure coding practices Language Requirement Bilingual English/Spanish required Preferred Experience Global payroll, HR tech, payroll, HCM, fintech, or workforce management platforms Multi-tenant SaaS environments Experience working in fast-paced startup environments Exposure to QA automation or test-driven development environments", "summaryDescription" : "Senior Software Engineer at Globalli. Skills: Software Development, DevOps, Cloud, AI/ML, Data Engineering, Security. Design software features. Develop software features", "postedDate" : "2026-06-15T23:28:25.195", "createdAt" : "2026-06-15T23:28:25.195", "lastUpdated" : "2026-06-16T08:02:21.577", "ingestTimestamp" : "2026-06-15T23:28:25.195", "mongoId" : "6a305790f292fd229cf3b853", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "Coding standards", "Engineering best practices", "Test coverage", "Production issues", "Technical debt", "Domain knowledge", "Software Development", "DevOps", "Cloud", "AI/ML", "Data Engineering", "Security", "Technical design", "System design", "Agile development", "Sprint planning", "global payroll", "EOR", "HCM platform", "HR tech", "payroll", "fintech", "workforce management", "Multi-tenant SaaS", "Version control systems" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306035f292fd229cf88352", "title" : "Senior Software Engineer", "company" : "Nintex", "industry" : "SaaS", "salary" : { "min" : 95000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, WA, United States", "locations" : [ "Bellevue", "WA", "United States" ], "timestamp" : "2026-06-16T07:10:40.781", "fingerprint" : "25d75f7cd6d374f9a98bddbcb450fbad37eeba5736441845406da25cea0baee0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.nintex.com/careers/jobs/?gh_jid=7985394", "externalId" : "7985394", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Javascript, NodeJS, ReactJS, React, Go, Python, Kubernetes, Cloud-native application, Azure, AWS, AI coding assistants, Agentic workflows", "professionalSkills" : [ "Platform Engineering", "Integration Engineering", "AI-Augmented Development", "Test Automation", "Engineering Fundamentals", "Solutions-oriented approach", "Pragmatic decision-making" ], "hardSkillsList" : [ "API design", "Plugin patterns", "Deployment models", "Prompt design", "Agent building", "Automation development" ], "softSkillsList" : [ "Enthusiasm", "Problem-solving", "Agility" ], "hardSkills" : [ { "name" : "API design", "level" : "intermediate" }, { "name" : "Plugin patterns", "level" : "intermediate" }, { "name" : "Deployment models", "level" : "intermediate" }, { "name" : "Prompt design", "level" : "intermediate" }, { "name" : "Agent building", "level" : "intermediate" }, { "name" : "Automation development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Enthusiasm" }, { "name" : "Problem-solving" }, { "name" : "Agility" } ], "majorSkills" : "Platform Engineering, DevOps, Automation, AI Integration", "majorSkillsList" : [ "Platform Engineering", "DevOps", "Automation", "AI Integration" ], "coreResponsibilities" : "Design capabilities of internal developer platform, Build capabilities of internal developer platform, Ship capabilities of internal developer platform, Integrate engineering tools and processes, Turn platform priorities into implementations, Improve developer productivity, Improve delivery velocity, Operate with autonomy on scoped initiatives, Take features end-to-end, Use AI-augmented workflows, Use automation for testing, Contribute to design discussions, Mentor peers informally, Raise engineering bar, Escalate cross-cutting concerns, Drive consistency in APIs, Drive consistency in plugin patterns, Drive consistency in deployment models, Build small automations, Build agents, Remove repetitive work, Partner on planning, Partner on risk, Partner on delivery trade-offs, Support hiring, Contribute to technical interviews, Help calibrate expectations", "teamCollaboration" : "Partner with Engineering Manager; Partner with senior peers; Cross-functional teams", "projectManagementSkills" : [ "Planning", "Risk management", "Delivery trade-offs" ], "domainKnowledge" : "Internal developer platform; Process intelligence; Automation platform; Cloud-native architecture", "domainList" : [ "internal-developer-platform", "process-intelligence", "automation-platform", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Internal developer platform", "Process intelligence", "Automation platform", "Cloud-native architecture" ], "toolProficiency" : [ "Backstage", "Claude Code", "Cursor", "Copilot" ], "communicationSkills" : "Design discussions", "continuousLearning" : "Multiple tools to learn; Global community", "innovationCreativity" : "Innovation; Problem-solving; Thinking big", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Measurably improve developer productivity; Measurably improve delivery velocity", "qualificationsBasic" : "6+ years software engineering, 2+ years team leadership, Kubernetes & Containerization experience, Proficient in at least one backend language (Go or Python), Experience with Javascript, NodeJS, ReactJS, Experience with Relational and Non-Relational Databases", "qualificationsPreferred" : "Backstage comfort with React for plugin frontends, Azure or AWS platform experience, Comfort designing prompts, Building small agents/automations, Embedding AI into team workflows, Service SLO awareness, Incident response contribution", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Nintex: At Nintex, we are transforming the way people work, everywhere. As the global standard for process intelligence and automation, we're trusted by over 10,000 public and private sector organizations across 90 countries. Our customers, from industry giants like Amazon, Coca-Cola, and Microsoft, rely on the Nintex Platform to accelerate their digital transformation journeys by managing, automating, and optimizing business processes quickly and efficiently. We improve their lives through the technology we build. We are committed to fostering a workplace that supports amazing people in doing their very best work every day. Collaboration is constant, our workplace is fun, the environment is fast-paced, and we value our people’s curiosity, ideas, and enthusiasm. Driven by passion and accountability, we take initiative, measure progress, and deliver results. Our culture fosters innovation and problem-solving, fueled by curiosity and a commitment to thinking big. Together, we move with agility, prioritize customer needs, and build unity through empathy, leaving a positive impact wherever we go. Working in engineering: Working at Nintex as an engineer means building more than just software; it’s about making a tangible impact with every line of code. Our engineers are process experts, developing the industry’s most complete process and automation platform to transform the way people work. If you’re interested, curious and want to learn and do more, the sky is the limit here. We take a solutions-oriented and collaborative approach, constantly innovating our business and products. About the role: The Senior Software Engineer, Platform Engineering is a hands-on individual contributor responsible for designing, building, and shipping capabilities of the internal developer platform and the integrations that connect engineering tools and processes. This role partners with the Engineering Manager and senior peers to turn platform priorities into reliable, well-tested implementations that measurably improve developer productivity and delivery velocity. You operate with strong autonomy on scoped initiatives, take features end-to-end, and use AI-augmented workflows and automation - including functional and end-to-end testing - as core tools to ship faster without compromising quality. You contribute to design discussions, mentor peers informally, and raise the engineering bar through high-quality code and pragmatic decision-making. Your contribution will be:  Design escalate cross-cutting concerns to senior peers and the Engineering Manager. Drive consistency in APIs, plugin patterns, and deployment models across the IDP and integration surfaces. Hands-on Engineering build small automations and agents that remove repetitive work for yourself and the team. Partner with the Engineering Manager and senior peers on planning, risk, and delivery trade-offs. Support hiring by contributing to technical interviews and helping calibrate expectations for the role. Required Technical Expertise Backstage comfort with React for plugin frontends. Integration Engineering Kubernetes and cloud-native application design; experience operating platforms on Azure and/or AWS. AI-Augmented Development Demonstrated, daily use of AI coding assistants (Claude Code, Cursor, Copilot or equivalent) and agentic workflows to accelerate delivery - able to show concrete examples. Comfort designing prompts, building small agents/automations, and embedding AI into team workflows. Test Automation operates services with SLO awareness and contributes to incident response. Engineering Fundamentals Strong software engineering fundamentals; proficient in at least one additional backend language commonly used in platform work (such as Go or Python). To be successful, we think you need:  2+ years experience in leading a team 6+ years of strong experience and background in software engineering (Javascript, NodeJS, ReactJS, Relational and Non-Relational Databases) Strong experience in Kubernetes & Containerization. What’s in it for you? Nintex has a hybrid working model, enabling us to build culture, learn, and grow together. We intentionally connect and collaborate, while emphasizing flexibility with a blend of at-home and in-office work. This role is a hybrid role in our local Nintex office. While our offerings differ from country to country, we offer our entire global workforce an array of exciting perks and benefits, including Global Gratitude and Recharge Days Flexible, paid time off policy Employee wellness programs and counseling resources Meaningful peer recognition and awards Paid parental leave Invention/patenting assistance Community impact, paid volunteer time, and opportunities Intercultural learning and celebration Multiple tools through which to learn and grow, and an incredible global community View more about our benefits here: https://www.nintex.com/wp-content/uploads/2023/01/Global-Perks-and-Benefits.pdf. Target Compensation Range (US ONLY): 95,000 - 160,000 USD annually. On target compensation refers to the base salary and applicable variable target for this role. The range is an estimate, base pay will ultimately be decided at the offer stage, based on an individual candidate's skills and experience aligned with the needs of the role. Base pay may vary based on several factors including geographic location, role specific qualifications, and seniority. Nintex also offers a competitive benefits package including paid time off, twelve paid holidays, 401(k) with employer match, and more. Nintex participates in E-Verify for work authorization. We are an Equal Employment Opportunity Organization.", "summaryDescription" : "Senior Software Engineer at Nintex. Skills: Platform Engineering, DevOps, Automation, AI Integration. Design capabilities of internal developer platform. Build capabilities of internal developer platform", "postedDate" : "2026-06-15T23:26:49.555", "createdAt" : "2026-06-15T23:26:49.555", "lastUpdated" : "2026-06-16T07:10:40.781", "ingestTimestamp" : "2026-06-15T23:26:49.555", "mongoId" : "6a306035f292fd229cf88352", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 160000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "API design", "Plugin patterns", "Deployment models", "Prompt design", "Agent building", "Automation development", "Enthusiasm", "Problem-solving", "Agility", "Platform Engineering", "DevOps", "Automation", "AI Integration", "Integration Engineering", "AI-Augmented Development", "Test Automation", "Engineering Fundamentals", "Solutions-oriented approach", "Pragmatic decision-making", "Planning", "Risk management", "Delivery trade-offs", "Internal developer platform", "Process intelligence", "Automation platform", "Cloud-native architecture", "Backstage", "Claude Code", "Cursor", "Copilot" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306782f292fd229cfbe819", "title" : "Senior Software Engineer", "company" : "Fever", "industry" : "Media", "salary" : { "min" : 50000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Spain", "locations" : [ "Spain" ], "timestamp" : "2026-06-16T07:13:09.244", "fingerprint" : "1f32232666391e7ab1dae0d1f779af3b80ddcfd4454e765a4bfc478513fde3c6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/feverup/jobs/4898130101", "externalId" : "4898130101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Spain", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, Django, Fast API, PostgreSQL, Redis, AWS, Docker, Kubernetes, SQL, Kafka, RabbitMQ", "professionalSkills" : [ "Software development excellence", "Code quality", "System design" ], "hardSkillsList" : [ "Event streaming", "High concurrency", "High volume requests" ], "hardSkills" : [ { "name" : "Event streaming", "level" : "intermediate" }, { "name" : "High concurrency", "level" : "intermediate" }, { "name" : "High volume requests", "level" : "intermediate" } ], "majorSkills" : "High Performance, Scalability, Backend systems", "majorSkillsList" : [ "High Performance", "Scalability", "Backend systems" ], "coreResponsibilities" : "Design and implement end-to-end features, Participate in architectural discussions, Propose improvements across services, Propose improvements across APIs, Work with event-driven systems, Focus on performance, Focus on reliability, Focus on scalability, Take ownership of core components, Help evolve component architecture, Contribute to best practices, Drive continuous improvement, Build high-performing services", "teamCollaboration" : "Collaborate with Product; Collaborate with Data; Collaborate with Engineering teams; Code reviews; Design sessions; Mentoring", "domainKnowledge" : "Live entertainment platform; High-performance systems; Event streaming platforms", "domainList" : [ "live-entertainment-platform", "high-performance-systems", "event-streaming-platforms" ], "domainSpecificKnowledge" : [ "Live entertainment platform", "High-performance systems", "Event streaming platforms" ], "toolProficiency" : [ "Datadog" ], "communicationSkills" : "Business English", "continuousLearning" : "Professional growth; Personal growth; English Lessons", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Knowledge of building maintainable and scalable code, Applying testing driven development, Applying design patterns, Knowledge of relational databases, Knowledge of SQL, Handling services with high concurrencies, Handling high volume requests, Proficiency in using Datadog, Proficiency in business English", "qualificationsPreferred" : "Python (Django/Fast API), PostgreSQL and Redis, AWS, Docker, and Kubernetes", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Hey there! We’re Fever, the world’s leading tech platform for culture and live entertainment. Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment. Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences. Our results? We’ve teamed up with major industry leaders like Netflix, F. C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right? To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience? Now, let’s discuss this role and what you will do to help achieve Fever’s mission. Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team. We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience. About the role Location: Spain - 100% Home office friendly. As a Senior Backend Engineer specializing in high-performance systems, you'll play a pivotal role in shaping the backbone of Fever's live-entertainment platform. We're seeking someone with proven software development excellence, a keen eye for code quality, and a drive to get things done right. Join us if you thrive in a fast-paced environment and are excited about pushing the boundaries of what's possible. This is an opportunity to have real impact in a high-growth global category leader. What will you do at Fever? On your first month in Fever (Onboarding period): You’ll join a structured onboarding program designed to help you ramp up smoothly. During this period, you will: Meet your buddy and team, and get to know Fever’s culture and ways of working. Set up your local environment and become familiar with our Python-based stack, CI/CD pipelines, and cloud infrastructure. Learn about our architecture and observability tools while contributing small improvements and fixes. Have your first code running in production and a clear understanding of our delivery flow and processes. By the end of the onboarding, you’ll be ready to join your long-term squad and start contributing to larger initiatives. After 3 months in Fever: You’ll be confidently collaborating and delivering at full speed. You will: Design and implement end-to-end features within your squad. Participate in architectural discussions and propose improvements across our services and APIs. Work with event-driven systems and focus on performance, reliability, and scalability. Collaborate closely with Product, Data, and other Engineering teams to enhance our platform and developer experience. On your 6th month in Fever: You’ll be fully established as a key contributor in your team. You will: Take ownership of core components and help evolve their architecture. Lead by example through code reviews, design sessions, and mentoring. Contribute to best practices in areas like scalability, observability, and system design. Drive continuous improvement and have a visible impact on how we build high-performing services at scale. Become an expert of your domain, using business context and technical excellence to drive strategic initiatives forward About you Must have skills: Strong knowledge of building maintainable and scalable code, applying testing driven development and design patterns. Strong knowledge of relational databases and SQL, taking it to its limits. Event streaming platforms such as Kafka or RabbitMQ Handling services with high concurrencies and high volume requests. Proficiency in using Datadog or other similar profiling tools and monitoring systems. Proficiency in business English. Ideally, experience with: Python (Django/Fast API) PostgreSQL and Redis. AWS, Docker, and Kubernetes. Benefits & Perks 40% discount on all Fever events and experiences. Home office friendly - you can be based anywhere in Spain. Relocation package for international candidates. Responsibility from day one and professional and personal growth. Great work environment with a young, diverse team of talented people to work with! Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee's platform. English Lessons. Gympass Membership. Possibility to receive in advance part of your salary through Payflow. Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance. Base Salary: 50.000 - 75.000EUR Total Compensation: 67.500 - 90.000EUR (Including Base, Variable, and Stock Options) About the process Fever aims to provide the best-fastest possible experience to our candidates. This is how it would look like: Talent Interview - 45 min: An intro to Fever, our culture and a conversation about your background and experience. Technical Interview - 1.5h: A mix of coding and system design real scenarios. EM Interview- 1h: A behavioral conversation with an Engineering Lead around ownership, pact and team collaboration. Thank you for considering joining Fever. We cannot wait to learn more about you! If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey. If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice", "summaryDescription" : "Senior Software Engineer at Fever. Skills: High Performance, Scalability, Backend systems. Design and implement end-to-end features. Participate in architectural discussions", "postedDate" : "2026-06-15T23:26:42.329", "createdAt" : "2026-06-15T23:26:42.329", "lastUpdated" : "2026-06-16T07:13:09.244", "ingestTimestamp" : "2026-06-15T23:26:42.329", "mongoId" : "6a306782f292fd229cfbe819", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Event streaming", "High concurrency", "High volume requests", "High Performance", "Scalability", "Backend systems", "Software development excellence", "Code quality", "System design", "Live entertainment platform", "High-performance systems", "Event streaming platforms", "Datadog" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306782f292fd229cfbe818", "title" : "Senior Software Engineer", "company" : "Fever", "industry" : "Technology", "salary" : { "min" : 50000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Spain", "locations" : [ "Spain" ], "timestamp" : "2026-06-16T07:25:21.405", "fingerprint" : "46467c2d4fd1b7bf284e45832d3eab69211afb232e11cb78cc560e93938a1a6a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/feverup/jobs/4898154101", "externalId" : "4898154101", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Spain", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, CockroachDB, AWS DynamoDB, Kafka, AWS, Docker, Kubernetes", "professionalSkills" : [ "API design", "System design", "Data residency", "Multi-region reliability", "Privacy compliance" ], "hardSkillsList" : [ "Geo-distributed systems", "Backend engineering", "Global Tables" ], "hardSkills" : [ { "name" : "Geo-distributed systems", "level" : "intermediate" }, { "name" : "Backend engineering", "level" : "intermediate" }, { "name" : "Global Tables", "level" : "intermediate" } ], "majorSkills" : "Geo-localized services, Backend engineering, Data residency", "majorSkillsList" : [ "Geo-localized services", "Backend engineering", "Data residency" ], "coreResponsibilities" : "Design and implement end-to-end features, Participate in architectural discussions, Propose improvements across services, Work with event-driven systems, Focus on performance, Focus on reliability, Focus on scalability, Collaborate with Product teams, Collaborate with Data teams, Collaborate with Engineering teams, Enhance platform, Enhance developer experience, Take ownership of core components, Help evolve component architecture, Lead by example through code reviews, Lead by example through design sessions, Lead by example through mentoring, Contribute to best practices, Drive continuous improvement, Build high-performing services", "teamCollaboration" : "Squads; Product teams; Data teams; Engineering teams", "domainKnowledge" : "Geo-distributed systems; Data residency; Multi-region reliability; Privacy compliance; Event-driven systems", "domainList" : [ "geo-distributed-systems", "data-residency", "multi-region-reliability", "privacy-compliance", "event-driven-systems" ], "domainSpecificKnowledge" : [ "Geo-distributed systems", "Data residency", "Multi-region reliability", "Privacy compliance", "Event-driven systems" ], "toolProficiency" : [ "CockroachDB", "AWS DynamoDB", "AWS", "Docker", "Kubernetes" ], "continuousLearning" : "English Lessons", "qualificationsBasic" : "Experience building geo-distributed systems, Backend engineering fundamentals, Hands-on experience with CockroachDB or AWS DynamoDB", "qualificationsPreferred" : "Experience in GDPR/privacy-by-design contexts, Building backend services using Python, Experience working with Kafka, AWS experience, Docker experience, Kubernetes experience, Built or maintained login/authentication flows, User management experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Hey there! We’re Fever, the world’s leading tech platform for culture and live entertainment. Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we’re revolutionizing the way people engage with live entertainment. Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences. Our results? We’ve teamed up with major industry leaders like Netflix, F. C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right? To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment! Ready to be part of the experience? Now, let’s discuss this role and what you will do to help achieve Fever’s mission. Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team. We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience. About the role We’re hiring a backend engineer to build and operate geo-localized user platform services with strong focus on data residency, multi-region reliability, and privacy compliance. During your first month at Fever (Onboarding period): Meet your buddy and team, and get to know Fever’s culture and ways of working. Set up your local environment and become familiar with our Python-based stack, CI/CD pipelines, and cloud infrastructure. Learn about our architecture and observability tools while contributing small improvements and fixes. Have your first code running in production and a clear understanding of our delivery flow and processes. By the end of the onboarding, you’ll be ready to join your long-term squad and start contributing to larger initiatives. After 3 months at Fever: You’ll be confidently collaborating and delivering at full speed. You will: Design and implement end-to-end features within your squad. Participate in architectural discussions and propose improvements across our services and APIs. Work with event-driven systems and focus on performance, reliability, and scalability. Collaborate closely with Product, Data, and other Engineering teams to enhance our platform and developer experience. On your 6th month at Fever: You’ll be fully established as a key contributor in your team. You will: Take ownership of core components and help evolve their architecture. Lead by example through code reviews, design sessions, and mentoring. Contribute to best practices in areas like scalability, observability, and system design. Drive continuous improvement and have a visible impact on how we build high-performing services at scale. Become an expert of your domain, using business context and technical excellence to drive strategic initiatives forward About you Must have skills: Experience building geo-distributed / geo-localized systems (multi-region deployments, latency-sensitive design, regional failover, and data residency considerations). Strong backend engineering fundamentals (API design, testing, observability, and running services in production). Hands-on experience with CockroachDB, or AWS DynamoDB, including Global Tables. It would be a plus if you have experience in: Built or maintained login/authentication flows and user management Experience working in GDPR / privacy-by-design contexts Building backend services using Python Experience working with Kafka AWS, Docker and Kubernetes Benefits & Perks 40% discount on all Fever events and experiences. Home office friendly - you can be based anywhere in Spain. Relocation package for international candidates. Responsibility from day one and professional and personal growth. Great work environment with a young, diverse team of talented people to work with! Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee's platform. English Lessons. Gympass Membership. Possibility to receive in advance part of your salary through Payflow. Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance. Base Salary: 50.000 - 75.000EUR Total Compensation: 67.500 - 90.000EUR (Including Base, Variable, and Stock Options) About the process Fever aims to provide the best-fastest possible experience to our candidates. This is how it would look like: Talent Interview - 45 min: An intro to Fever, our culture and a conversation about your background and experience. Technical Interview - 1.5h: A mix of coding and system design real scenarios. EM Interview- 1h: A behavioral conversation with an Engineering Lead around ownership, pact and team collaboration. Thank you for considering joining Fever. We cannot wait to learn more about you! If you want to learn more about us: Fever's Blog | Tech.Eu |TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey. If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice", "summaryDescription" : "Senior Software Engineer at Fever. Skills: Geo-localized services, Backend engineering, Data residency. Design and implement end-to-end features. Participate in architectural discussions", "postedDate" : "2026-06-15T23:25:36.614", "createdAt" : "2026-06-15T23:25:36.614", "lastUpdated" : "2026-06-16T07:25:21.405", "ingestTimestamp" : "2026-06-15T23:25:36.614", "mongoId" : "6a306782f292fd229cfbe818", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Geo-distributed systems", "Backend engineering", "Global Tables", "Geo-localized services", "Data residency", "API design", "System design", "Multi-region reliability", "Privacy compliance", "Event-driven systems", "CockroachDB", "AWS DynamoDB", "AWS", "Docker", "Kubernetes" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305190f292fd229cf02357", "title" : "Senior Software Engineer", "company" : "Nextiva", "industry" : "SaaS", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Software Engineer in Bengaluru, India, adjusted for seniority, company size, and industry." }, "location" : "Bengaluru, Onsite", "locations" : [ "Bengaluru", "Onsite" ], "timestamp" : "2026-06-16T09:00:51.211", "fingerprint" : "54a2f923b8275da33c97b5cf9eed99612719fe848403b2f035902b6ac1d14658", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.nextiva.com/company/careers-listing?gh_jid=8561476002", "externalId" : "8561476002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "JavaScript, HTML, CSS, React, TypeScript, Tailwind CSS", "professionalSkills" : [ "Ownership mindset", "Technical expertise" ], "hardSkillsList" : [ "Frontend development", "Software development lifecycle", "Computer science fundamentals", "Types", "Generics", "Reusable component patterns", "Frontend tooling", "Package management", "UI components", "Scalable frontend applications", "Styling approaches" ], "softSkillsList" : [ "Ownership mindset", "Collaborative approach" ], "hardSkills" : [ { "name" : "Frontend development", "level" : "intermediate" }, { "name" : "Software development lifecycle", "level" : "intermediate" }, { "name" : "Computer science fundamentals", "level" : "intermediate" }, { "name" : "Types", "level" : "intermediate" }, { "name" : "Generics", "level" : "intermediate" }, { "name" : "Reusable component patterns", "level" : "intermediate" }, { "name" : "Frontend tooling", "level" : "intermediate" }, { "name" : "Package management", "level" : "intermediate" }, { "name" : "UI components", "level" : "intermediate" }, { "name" : "Scalable frontend applications", "level" : "intermediate" }, { "name" : "Styling approaches", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Ownership mindset" }, { "name" : "Collaborative approach" } ], "coreResponsibilities" : "Contribute to rebuild, Modernize web applications, Improve performance, Improve user experience, Translate UI/UX concepts, Build scalable interfaces, Write React code, Deliver features, Contribute to standards, Review code, Implement testing, Debug application issues, Identify bottlenecks, Improve frontend performance, Work with CI/CD pipelines, Evaluate frontend tools, Implement frontend libraries, Ensure consistency, Ensure maintainability, Ensure scalability, Collaborate with teams, Contribute to component libraries, Contribute to architecture, Participate in PR reviews, Support junior engineers, Mentor junior engineers, Grow technical expertise", "teamCollaboration" : "Collaborate with product; Collaborate with design; Collaborate with backend; Collaborate with QA", "domainKnowledge" : "Customer experiences; Team collaboration; Conversation centric platform; AI-powered platform; Web applications; Frontend platform; User-centered experiences; Modern frontend applications; Unified platform", "domainList" : [ "customer-experiences", "team-collaboration", "conversation-centric-platform", "ai-powered-platform", "web-applications", "frontend-platform", "user-centered-experiences", "modern-frontend-applications", "unified-platform" ], "domainSpecificKnowledge" : [ "Customer experiences", "Team collaboration", "Conversation centric platform", "AI-powered platform", "Web applications", "Frontend platform", "User-centered experiences", "Modern frontend applications", "Unified platform" ], "toolProficiency" : [ "CI/CD pipelines" ], "continuousLearning" : "Ongoing learning; Development opportunities; Career advancement", "problemSolvingSkills" : "Debugging; Troubleshooting", "qualificationsBasic" : "6–9 years frontend development, React expertise, Frontend fundamentals, JavaScript, HTML, CSS, Product-based organizations experience, Software development lifecycle understanding, Debugging frontend applications, Optimizing performance, CI/CD pipelines familiarity, Modern development workflows familiarity, Computer science fundamentals understanding, Solid TypeScript experience, Types, Generics, Reusable component patterns, Modern frontend tooling experience, Package management experience, Building reusable UI components, Building scalable frontend applications, Hands-on Tailwind CSS experience, Modern styling approaches experience", "qualificationsPreferred" : "WebRTC experience, Real-time communication tech experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Redefine the future of customer experiences. One conversation at a time. At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation centric platform. Powered by AI, driven by human innovation. Our culture is forward thinking, customer obsessed and built on the belief that meaningful connections drive better business outcomes. Whether it’s through our signature Amazing Service®, the technology we create, or the experiences we cultivate, connection is at the core of who we are. If you’re ready to collaborate with incredible people, make an impact, and help businesses everywhere deliver truly amazing experiences, this is where you belong. Location: This is an onsite role based at Nextiva’s Bengaluru office (Wilshire III by MFAR, 492, Hobli, RHB Colony, Mahadevapura, Bengaluru, Karnataka 560048). Working together onsite strengthens how we operate, enabling faster decisions, clearer communication, and stronger execution, so you can make a greater impact and move work forward with speed and clarity. In-Office Expectation: This role is expected to work onsite five days per week, supporting a highly collaborative, in-person team environment. Senior Software Engineer – Frontend (UI) The Senior Software Engineer – Frontend is a hands-on individual contributor role for an experienced frontend engineer with strong technical expertise, ownership mindset, and a collaborative approach to building scalable web applications. This role is responsible for contributing to the development, modernization, and optimization of our frontend platform while actively delivering high-quality production code. As a strong contributor, you will work on complex frontend initiatives, participate in technical design discussions, and help improve the scalability, reliability, performance, and usability of our applications. You will collaborate closely with product, design, backend engineering, and QA teams to deliver impactful, user-centered experiences aligned with business goals. You will contribute to frontend best practices through code reviews, architecture discussions, testing strategies, and engineering standards. You will also support and mentor junior engineers while continuously growing your own technical expertise within a fast-paced, product-driven engineering environment. This role is ideal for someone who enjoys building modern frontend applications, solving technical challenges, collaborating across teams, and growing toward advanced technical leadership. We are seeking a Senior Software Engineer – Frontend (UI) to contribute to the evolution of our web applications and support Nextiva’s mission of delivering exceptional customer experiences through a unified, modern platform powered by AI and automation. Responsibilities Contribute to the rebuild and modernization of existing web applications to improve performance and user experience Collaborate closely with design teams to translate UI/UX concepts into scalable, high-quality interfaces Write clean, maintainable, and high-performance React-based frontend code Participate in end-to-end feature delivery, from design through deployment Contribute to frontend engineering standards through code reviews, testing, and engineering best practices Debug application issues, identify bottlenecks, and improve frontend performance Work with CI/CD pipelines and modern frontend development workflows Evaluate and implement modern frontend tools and libraries where appropriate Ensure consistency, maintainability, and scalability of frontend applications Collaborate with cross-functional teams including product, backend, QA, and design Contribute to shared component libraries and frontend architecture initiatives Participate in PR reviews with attention to maintainability, accessibility, and code quality Support and mentor junior engineers within the team Stay current with modern frontend technologies, frameworks, and engineering practices Requirements Basic Qualifications 6–9 years of experience in frontend development Strong expertise in React and frontend fundamentals (JavaScript, HTML, CSS) Experience working in product-based organizations Strong understanding of the software development lifecycle Experience debugging frontend applications and optimizing performance Familiarity with CI/CD pipelines and modern development workflows Strong understanding of computer science fundamentals Solid TypeScript experience including types, generics, and reusable component patterns Experience with modern frontend tooling and package management Experience building reusable UI components and scalable frontend applications Hands-on experience with Tailwind CSS or modern styling approaches Preferred Qualifications Experience with WebRTC or real-time communication technologies Experience with React Native or mobile application development Exposure to modern state/data management libraries (e.g., TanStack Query) Familiarity with monorepo tooling such as Turborepo, Nx, or pnpm workspaces Familiarity with modern frontend architecture patterns Experience with real-time or WebSocket-based applications Familiarity with Storybook-driven component development Exposure to headless UI/component libraries such as Radix UI or Base UI Flexibility to contribute across web, mobile, or browser extension experiences AI celebrating wins to fuel momentum. They act swiftly and pragmatically, learning and improving as they go. Critical Thinker: Data-driven, forward-thinking individuals who identify key drivers, anticipate risks, and deliver clear recommendations. They confidently leverage AI and automation to reduce friction, improve decision-making, and focus on higher-value work. Right Attitude: Collaborative, competitive, and resilient team players who jump in to solve tough problems, learn from setbacks, and foster a culture of service, respect, and care for customers and teammates. Total Rewards Our Total Rewards offerings are designed to allow our employees to take care of themselves and their families so they can be their best, in and out of the office. Our compensation packages are tailored to each role and candidate's qualifications. We consider a wide range of factors, including skills, experience, training, and certifications, when determining compensation. We aim to offer competitive salaries or wages that reflect the value you bring to our team. Depending on the position, compensation may include base salary and/or hourly wages, incentives, or bonuses. Medical \uD83E\uDE7A - Medical insurance coverage is available for employees, their spouse, and up to two dependent children with a limit of 500,000 INR, as well as their parents or in-laws for up to 300,000 INR. This comprehensive coverage ensures that essential healthcare needs are met for the entire family unit, providing peace of mind and security in times of medical necessity. Group Term & Group Personal Accident Insurance \uD83D\uDCBC - Provides insurance coverage against the risk of death / injury during the policy period sustained due to an accident caused by violent, visible & external means. Coverage Type - Employee Only Sum Insured - 3 times of annual CTC with minimum cap of INR 10,00,000 Free Cover Limit - 1.5 Crore Work-Life Balance ⚖️ - 15 days of Privilege leaves per calendar year, 6 days of Paid Sick leave per calendar year, 6 days of Casual leave per calendar year. Paid 26 weeks of Maternity leaves, 1 week of Paternity leave, a day off on your Birthday, and paid holidays Financial Security\uD83D\uDCB0 - Provident Fund & Gratuity Wellness \uD83E\uDD38‍ - Employee Assistance Program and comprehensive wellness initiatives Growth \uD83C\uDF31 - Access to ongoing learning and development opportunities and career advancement At Nextiva, we're committed to supporting our employees' health, well-being, and professional growth. Join us and build a rewarding career! Beware of Recruitment Fraud: At Nextiva, we follow a merit-based hiring process and do not charge any fees or require a deposit at any stage. We also do not authorize any third parties to collect payments or sensitive information on our behalf. All genuine communications from Nextiva originate from official email addresses ending in “@nextiva.com”. Communications received from free email services (such as Gmail, Yahoo, or Hotmail) purporting to be from Nextiva should be treated as fraudulent. If you are contacted by a third-party claiming to represent us, please verify their credentials by writing to talent@nextiva.com. We encourage candidates to stay vigilant and verify the authenticity of any communication claiming to be from Nextiva, including unsolicited calls, WhatsApp messages and Telegram communications. While we strive to maintain a secure hiring process, Nextiva is not responsible for any losses arising from fraudulent activities. If you believe that you have been a victim of recruitment fraud, please contact your law enforcement agencies immediately. For genuine opportunities, please apply only through our official career sites: Nextiva Careers & Nextiva Jobs on LinkedIn. #LI-PJ1 #LI-Onsite Founded in 2008, Nextiva has grown into a global leader trusted by over 100,000 businesses and 1M+ users worldwide. Headquartered in Scottsdale, Arizona, and with teams across the globe, we're the future of customer experience and team collaboration through our AI-powered, conversation-centric platform. Want to see what life at Nextiva is all about? Connect with us on Instagram, Instagram MX, YouTube, LinkedIn, and the Nextiva Blog.", "summaryDescription" : "Senior Software Engineer at Nextiva. Contribute to rebuild. Modernize web applications", "postedDate" : "2026-06-15T23:20:22.318", "createdAt" : "2026-06-15T23:20:22.318", "lastUpdated" : "2026-06-16T09:00:51.211", "ingestTimestamp" : "2026-06-15T23:20:22.318", "mongoId" : "6a305190f292fd229cf02357", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Frontend development", "Software development lifecycle", "Computer science fundamentals", "Types", "Generics", "Reusable component patterns", "Frontend tooling", "Package management", "UI components", "Scalable frontend applications", "Styling approaches", "Ownership mindset", "Collaborative approach", "Technical expertise", "Customer experiences", "Team collaboration", "Conversation centric platform", "AI-powered platform", "Web applications", "Frontend platform", "User-centered experiences", "Modern frontend applications", "Unified platform", "CI/CD pipelines" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3051c1f292fd229cf06110", "title" : "Senior Software Engineer", "company" : "Unframe", "industry" : "Technology", "salary" : { "min" : 360000.0, "max" : 540000.0, "currency" : "ILS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer in Tel Aviv-Yafo, Israel, adjusted for industry and seniority." }, "location" : "Tel Aviv-Yafo, Tel Aviv District, Israel", "locations" : [ "Tel Aviv-Yafo", "Tel Aviv District", "Israel" ], "timestamp" : "2026-06-16T08:57:45.192", "fingerprint" : "e1dd01c597004e9d0c982e36933a9bed13bfc67e546a5338f367988c652baccb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/unframe/jobs/4897617101", "externalId" : "4897617101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tel Aviv-Yafo", "state" : "Tel Aviv District", "country" : "Israel", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "32.0852997,34.7818064" } ], "locationText" : "Tel Aviv-Yafo, Tel Aviv District, Israel", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Node.js, PostgreSQL", "professionalSkills" : [ "System design", "Data modeling" ], "hardSkillsList" : [ "Backend architecture", "Data modeling" ], "hardSkills" : [ { "name" : "Backend architecture", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" } ], "majorSkills" : "Backend systems, System design, Data modeling", "majorSkillsList" : [ "Backend systems", "System design", "Data modeling" ], "coreResponsibilities" : "Own architecture implementation, Implement complex backend components, Implement system components, Design scalable services, Design reliable services, Support high-velocity product development, Dive deep into problems, Improve system reliability, Improve developer experience", "teamCollaboration" : "Partner with platform teams; Partner with applied AI teams; Partner with fullstack teams", "domainKnowledge" : "AI-native products; LLM-powered applications", "domainList" : [ "ai-native-products", "llm-powered-applications" ], "domainSpecificKnowledge" : [ "AI-native products", "LLM-powered applications" ], "problemSolvingSkills" : "Debugging; Problem solving", "qualificationsBasic" : "6+ years software engineering, Node.js proficiency, Relational database fundamentals, PostgreSQL experience, Data model design experience, Exceptional debugging skills, Engineering judgment", "qualificationsPreferred" : "Distributed systems experience, Caching experience, Messaging experience, Multi-tenant architectures experience, AI/LLM integration experience, Infra experience, Platform experience, Observability experience, CI/CD tooling experience, API experience", "rawDescription" : "About Unframe Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market. With over $100M in TCV secured within 12 months, and a new $50M Series B led by Highland Europe, Unframe is rapidly scaling globally alongside Fortune 500 customers, backed by Bessemer, Craft, and TLV. About the role: You’ll be responsible for solving some of the most complex engineering challenges at Unframe. This role is deeply technical: designing architectures, debugging hard problems, improving core systems, and building reliable foundations for AI-native products.When something mission-critical needs to get done, you’re the engineer we trust. What you’ll do: Own end-to-end architecture and implementation of complex backend and system components. Design scalable, reliable services that support high-velocity product development. Dive deep into hard problems across performance, data modeling, stability, and APIs. Partner with platform, applied AI, and fullstack teams to land robust, observable systems. Improve system reliability and developer experience through tooling, standards, and architecture. What we are looking for: 6+ years in software engineering with strong evidence of owning complex systems. Deep proficiency in Node.js (clean backend architecture is key). Strong relational database fundamentals (PostgreSQL) and experience designing data models. Exceptional debugging skills and strong engineering judgment. Fast learner with the ability to ramp into new domains independently. Nice to have: Experience with distributed systems, caching, messaging, or multi-tenant architectures. Experience integrating AI/LLM capabilities into backend systems. Infra or platform experience (observability, CI/CD tooling, APIs). Why join us? Real ownership from day one. Drive decisions, shape ideas and make them work. Your fastest learning years. Build alongside founders and VPs in a space that moves weekly. You'll have the opportunity to write and build what comes next. Ready to Build the Future? If this opportunity excites you, apply now!", "summaryDescription" : "Senior Software Engineer at Unframe. Skills: Backend systems, System design, Data modeling. Own architecture implementation. Implement complex backend components", "postedDate" : "2026-06-15T23:18:04.640", "createdAt" : "2026-06-15T23:18:04.640", "lastUpdated" : "2026-06-16T08:57:45.192", "ingestTimestamp" : "2026-06-15T23:18:04.640", "mongoId" : "6a3051c1f292fd229cf06110", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Backend architecture", "Data modeling", "Backend systems", "System design", "AI-native products", "LLM-powered applications" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305154f292fd229cefea2d", "title" : "Senior Software Engineer", "company" : "Fivetran", "industry" : "SaaS", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer in Bengaluru, India, adjusted for seniority, company size, and industry." }, "location" : "Bengaluru, Karnataka, India, APAC", "locations" : [ "Bengaluru", "Karnataka", "India", "APAC" ], "timestamp" : "2026-06-16T07:22:49.480", "fingerprint" : "575d542e3edd3801cd2cd6ef8985b713971a505926e57b6f3202a0996c9becbc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.fivetran.com/careers/job?gh_jid=7725865003", "externalId" : "7725865003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, SQL, Kubernetes, Docker, AWS, GCP, CircleCI, Cloud APIs, NoSQL databases", "professionalSkills" : [ "Technical leadership", "Problem-solving" ], "hardSkillsList" : [ "Data pipeline development", "Distributed systems", "Data management", "Software development", "Automation", "Algorithms", "Data structures", "Software design", "Programming best practices" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Software design", "level" : "intermediate" }, { "name" : "Programming best practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data pipelines, Distributed systems, High-volume data", "majorSkillsList" : [ "Data pipelines", "Distributed systems", "High-volume data" ], "coreResponsibilities" : "Build data pipelines, Move data from sources, Build new connectors, Operate on Kubernetes cluster, Ensure technical excellence, Contribute to code, Review code, Contribute to architectural design, Mentor junior colleagues, Work with Cloud APIs, Work with SQL, Work with NoSQL databases, Work with events, Work on core data pipeline, Move terabytes of data, Process data into updates, Create innovation environment, Contribute to high productivity, Contribute to high quality, Contribute to customer service", "teamCollaboration" : "Mentoring junior colleagues; In-person collaboration", "domainKnowledge" : "Data pipeline service; Distributed systems; High-volume data management; Enterprise products; Web-scale products; Strict SLAs; Cloud-based APIs; Data warehouses", "domainList" : [ "data-pipeline-service", "distributed-systems", "high-volume-data-management", "enterprise-products", "web-scale-products", "strict-slas", "cloud-based-apis", "data-warehouses" ], "domainSpecificKnowledge" : [ "Data pipeline service", "Distributed systems", "High-volume data management", "Enterprise products", "Web-scale products", "Strict SLAs", "Cloud-based APIs", "Data warehouses" ], "toolProficiency" : [ "Kubernetes", "Docker", "AWS", "GCP", "CircleCI" ], "continuousLearning" : "Professional development; Training opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "Recent hands-on software development experience, Experience in reliable distributed systems, High-volume data management experience, Experience with enterprise/web-scale products, Experience with strict SLAs, Broad technical knowledge, Software development and automation experience, Experience with algorithms and data structures, Expertise in Java, Expertise in AWS, Expertise in Cloud-based APIs, Expertise in databases, Expertise in software design, Expertise in programming best practices", "qualificationsPreferred" : "Kubernetes experience a plus, Docker experience a plus, GCP experience a plus, CircleCI experience a plus", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role We’re looking for a Senior Software Engineer for our data pipeline service to build and work on data pipelines that moves data from various sources to data warehouses. The work is very diverse – all the way from patching software to building new connectors operating on our global Kubernetes compute cluster. You will be responsible for ensuring the technical excellence for your team and owned services, by contributing to the code, reviewing code, contributing to architectural design and mentoring your junior colleagues. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Java, SQL, Kubernetes, Docker, AWS, GCP, CircleCI. What You’ll Do You'll be working with Cloud APIs, SQL, and NoSQL databases, events, etc. You'll be working on the core data pipeline that moves terabytes of data from all our customers to their data warehouses You will process the data into clean, incremental, automated updates Skills We’re Looking For Strong technical and problem-solving skills, with recent hands-on software development experience Experience in reliable distributed systems, with an emphasis on high-volume data management within enterprise and/or web-scale products and platforms that operate under strict SLAs Broad technical knowledge which encompasses Software development and automation Experience with use of wide array of algorithms and data structures Expertise in working with Java, AWS, Cloud-based APIs, databases, software design and programming best practices Entrepreneurial mindset, excellent communication, and technical leadership skills Create and contribute to an environment that is geared to innovation, high productivity, high quality and customer Service #LI-HYBRID #LI-DB1 Perks and Benefits 100% employer-paid medical insurance* Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. *May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes. Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here. We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.", "summaryDescription" : "Senior Software Engineer at Fivetran. Skills: Data pipelines, Distributed systems, High-volume data. Build data pipelines. Move data from sources", "postedDate" : "2026-06-15T23:16:59.112", "createdAt" : "2026-06-15T23:16:59.112", "lastUpdated" : "2026-06-16T07:22:49.480", "ingestTimestamp" : "2026-06-15T23:16:59.112", "mongoId" : "6a305154f292fd229cefea2d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Distributed systems", "Data management", "Software development", "Automation", "Algorithms", "Data structures", "Software design", "Programming best practices", "Mentoring", "Data pipelines", "High-volume data", "Technical leadership", "Problem-solving", "Data pipeline service", "High-volume data management", "Enterprise products", "Web-scale products", "Strict SLAs", "Cloud-based APIs", "Data warehouses", "Kubernetes", "Docker", "AWS", "GCP", "CircleCI" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305154f292fd229cefea29", "title" : "Senior Software Engineer", "company" : "Fivetran", "industry" : "SaaS", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Software Engineer in Bengaluru, India, adjusted for seniority, company size, and industry." }, "location" : "Bengaluru, Karnataka, India, APAC", "locations" : [ "Bengaluru", "Karnataka", "India", "APAC" ], "timestamp" : "2026-06-16T05:56:50.374", "fingerprint" : "8f6646aca2257db779a8cbde02dec175c0b107b980416142a875274240b31696", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.fivetran.com/careers/job?gh_jid=7664141003", "externalId" : "7664141003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, SQL, Kubernetes, Docker, AWS, GCP, CircleCI, Cloud APIs, NoSQL databases", "professionalSkills" : [ "Technical leadership", "Problem-solving" ], "hardSkillsList" : [ "Data pipeline development", "Distributed systems", "High-volume data management", "Software development", "Automation", "Algorithms", "Data structures", "Cloud API integration", "Database management", "Software design", "Programming best practices" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "High-volume data management", "level" : "intermediate" }, { "name" : "Software development", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" }, { "name" : "Algorithms", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "Cloud API integration", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Software design", "level" : "intermediate" }, { "name" : "Programming best practices", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data pipelines, Distributed systems, High-volume data management, Java", "majorSkillsList" : [ "Data pipelines", "Distributed systems", "High-volume data management", "Java" ], "coreResponsibilities" : "Build data pipelines, Move data from sources, Move data to data warehouses, Patch software, Build new connectors, Operate on Kubernetes cluster, Ensure technical excellence, Contribute to code, Review code, Contribute to architectural design, Mentor junior colleagues, Work with Cloud APIs, Work with SQL, Work with NoSQL databases, Work with events, Work on core data pipeline, Move terabytes of data, Process data, Provide clean updates, Provide incremental updates, Provide automated updates", "teamCollaboration" : "Junior colleagues; 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With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About the Role We’re looking for a Senior Software Engineer for our data pipeline service to build and work on data pipelines that moves data from various sources to data warehouses. The work is very diverse – all the way from patching software to building new connectors operating on our global Kubernetes compute cluster. You will be responsible for ensuring the technical excellence for your team and owned services, by contributing to the code, reviewing code, contributing to architectural design and mentoring your junior colleagues. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Java, SQL, Kubernetes, Docker, AWS, GCP, CircleCI. What You’ll Do You'll be working with Cloud APIs, SQL, and NoSQL databases, events, etc. You'll be working on the core data pipeline that moves terabytes of data from all our customers to their data warehouses You will process the data into clean, incremental, automated updates Skills We’re Looking For Strong technical and problem-solving skills, with recent hands-on software development experience Experience in reliable distributed systems, with an emphasis on high-volume data management within enterprise and/or web-scale products and platforms that operate under strict SLAs Broad technical knowledge which encompasses Software development and automation Experience with use of wide array of algorithms and data structures Expertise in working with Java, AWS, Cloud-based APIs, databases, software design and programming best practices Entrepreneurial mindset, excellent communication, and technical leadership skills Create and contribute to an environment that is geared to innovation, high productivity, high quality and customer Service #LI-HYBRID #LI-DB1 Perks and Benefits 100% employer-paid medical insurance* Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. *May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion, but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream. Read about us in Forbes. Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here. We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.", "summaryDescription" : "Senior Software Engineer at Fivetran. Skills: Data pipelines, Distributed systems, High-volume data management, Java. Build data pipelines. Move data from sources", "postedDate" : "2026-06-15T23:16:35.820", "createdAt" : "2026-06-15T23:16:35.820", "lastUpdated" : "2026-06-16T05:56:50.374", "ingestTimestamp" : "2026-06-15T23:16:35.820", "mongoId" : "6a305154f292fd229cefea29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Distributed systems", "High-volume data management", "Software development", "Automation", "Algorithms", "Data structures", "Cloud API integration", "Database management", "Software design", "Programming best practices", "Leadership", "Mentoring", "Data pipelines", "Java", "Technical leadership", "Problem-solving", "Data pipeline service", "Enterprise products", "Web-scale products", "Service Level Agreements (SLAs)", "Kubernetes", "Docker", "AWS", "GCP", "CircleCI" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "senior dl software engineer model optimization and edge deployment autonomous vehicles jobs", "metadata" : { "title" : "senior dl software engineer model optimization and edge deployment autonomous vehicles" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 140455, "totalPages" : 2810, "hasNext" : true, "hasPrevious" : false } }

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