Amazon

This role is for a Sr. Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include architecting scalable solutions, gathering requirements, proposing migration strategies, and advising on industry trends. The role requires experience in cloud architecture, solution implementation, databases, software development, and project management.

This role is for a Senior Migrations & Modernization Solutions Architect focused on Data & Analytics within AWS. The primary responsibilities involve collaborating with customers and partners to design and implement solutions using AWS services for Big Data, Analytics, Real Time and Batch processing, Business Intelligence, HPC, and Machine Learning. The role also involves providing thought leadership, contributing to publications, and capturing best practices within the AWS architect community.

Embedded Software Engineer role focused on designing and developing firmware for AWS servers, including BMC, to support critical infrastructure and AI/ML workloads. The role involves the full development lifecycle, architecture, deployment strategies, and collaboration with cross-functional teams.

This role is for a Cloud Support Associate for Amazon Web Services (AWS) European Sovereign Cloud (ESC). The primary responsibility is to provide customer support by solving technical cases through various channels, troubleshooting issues, and providing tailored solutions. The role also involves mentoring, developing training, partnering with development teams, and potentially writing scripts for team efficiency. While the company mentions Generative AI Innovation Center, this specific role is focused on general cloud support and troubleshooting, not AI/ML development.

This role is for a Cloud Support Engineer for Amazon Web Services (AWS) European Sovereign Cloud (ESC). The primary responsibility is to provide customer support, troubleshoot technical issues, and act as a 'Cloud Ambassador' for AWS products. The role involves solving customer cases via various channels, applying troubleshooting techniques, and potentially coaching new hires, developing training, partnering with development teams, writing tools/scripts, and working on process improvement. Fluency in German and English is required.

Senior Software Development Engineer at Amazon's Annapurna Labs, focusing on AWS Networking's ENA Express feature. This role involves designing, building, and owning features across the full software stack, including firmware, user-space libraries, control plane, and performance analytics. The work impacts millions of EC2 instances and supports latency-critical applications like large-scale ML training and financial services. Responsibilities include deep-diving into networking protocols, optimizing packet delivery, collaborating with hardware/firmware partners, mentoring junior engineers, and driving operational excellence with observability and incident response.

Data Engineer II for AWS Public Sector team, focusing on building and managing big data systems, data pipelines, and infrastructure for analytics and reporting. Collaborates with ML engineers and BI engineers.

This role is for a Cloud Operations Architect within AWS Enterprise Support, acting as a trusted advisor to customers. The architect will help customers maximize value from AWS services by crafting and executing strategies for adoption and ongoing operations. Responsibilities include providing technical guidance, ensuring operational health, developing customer relationships, managing risks, and collaborating with various AWS teams. The role focuses on supporting customers in migrating and optimizing their workloads on the AWS cloud.

This role focuses on designing, building, and implementing security solutions in AWS customer environments, emphasizing infrastructure as code, automated controls, and security architecture. It involves partnering with customers on cloud transformations and acting as a technical advisor for security decisions and control implementation.

This role focuses on designing, building, and implementing security solutions in customer AWS environments, emphasizing infrastructure as code and automated security controls. It involves working with various AWS security services and partnering with customers to embed security into their cloud architecture.

This role is for a Senior Machine Learning Acceleration Design Verification Engineer focused on verifying custom silicon (SOCs) for ML workloads in Amazon's datacenters. The responsibilities include testbench development, testcase creation, bug triaging, and mentoring junior engineers. The role requires significant experience in design verification using System Verilog and UVM, with a focus on custom chip designs for ML accelerators.

This role is for a Design Verification Engineer focused on machine learning hardware within Amazon's cloud server platforms. The responsibilities include verifying hardware and software functionality, developing verification plans, and measuring progress towards customer metrics. The role requires a Bachelor's degree in Electrical Engineering and experience with System Verilog and UVM for testbench development.

This role is for a Senior Executive Research Recruiter focused on identifying and hiring top-tier scientific and technical talent (Principal Scientists, Distinguished Scientists, VPs) across various AI/ML domains for Amazon. The recruiter will act as a strategic advisor to senior leadership, develop search strategies, build talent networks, and manage the candidate pipeline.

Software Development Engineer role at AWS Marketplace focused on enhancing the platform for buying and selling enterprise software, including machine learning and IoT services. The role involves owning product features, influencing strategy, and working on complex system software from front-end to platform services.

Senior Software Development Engineer role focused on building and improving the buy journey for Amazon Business customers. This involves designing scalable software architecture, delivering personalized experiences using machine learning and data engineering, and applying software engineering best practices. The role emphasizes technical leadership, system design, and operational excellence within a fast-paced environment.

Software Development Engineer II role focused on building full-stack applications and backend services for Amazon Manufacturing Services (AMS). The role involves designing and operating AWS services, building React web applications, integrating with enterprise platforms, and collaborating on system design. While ML/LLM fundamentals are mentioned as a basic qualification, the core responsibilities are in traditional software engineering for manufacturing operations.

Senior Software Development Engineer role at Amazon Ring Neighbors, focusing on architecting, building, and operating large-scale cloud systems for a hyperlocal social networking app. The role involves shaping technical direction, mentoring junior engineers, and driving innovation in areas like pet reunification, wildfire detection, and AI-enhanced user experiences. While the team utilizes ML components and AI for enhancement, the core responsibilities are in software development, system design, and cloud infrastructure, not direct AI/ML model development.

This role is for a Senior Machine Learning Acceleration Design Verification Engineer focused on custom silicon (SOCs) for AI workloads. The engineer will be responsible for verifying these chip designs, integrating IPs, creating testplans, writing testcases, maintaining regression infrastructure, and debugging issues. The role involves working with ML accelerator designs and requires experience with System Verilog and UVM.

This role is for a Sr. Delivery Consultant focused on SAP migrations to AWS. While the role advises on AI/GenAI integration within SAP, its core function is cloud architecture, solution implementation, and SAP technology consulting, not building AI models or systems. The AI aspects are advisory and integration-focused within a broader SAP cloud migration context.

Senior Software Development Engineer role focused on building core backend services for Amazon's driver delivery mobile app, emphasizing full-stack collaboration, system design, and operational excellence. The role involves mentoring junior engineers and influencing technical direction within the Last Mile delivery technology team.

This role is an Associate DevOps Analyst position within Amazon Web Services (AWS) Region Services team in Sydney, Australia. The primary focus is on supporting and operating AWS services in highly secure, scalable environments, particularly for sensitive workloads. Responsibilities include defining, building, owning, and running services, solving problems in massive-scale areas, learning to build and operate distributed systems, and building/influencing tools for internal services. The role involves supporting activities for these services, working with development teams, driving issues to resolution, understanding business logic and architecture, creating and improving support documentation, performing code builds and deployments, and interpreting metrics. The team provides 'hands on keyboard' support by deploying changes, monitoring results, and reporting issues. Basic qualifications include experience with Linux/Unix, production support procedures, and troubleshooting. Preferred qualifications include CI/CD, networking fundamentals, scripting, and documentation tools.

Software Development Engineer role focused on building and maintaining scalable planning platforms and innovative models for AWS Usage Forecast Planning. The role involves applying advanced forecasting, data mining, and machine learning techniques to predict customer demand growth and optimize hardware planning for AWS services. It's a full-stack development role with a focus on data and problem-solving, using technologies like Scala, Java, Python, Lambda, and DynamoDB.

Senior WiFi Test Engineer role focused on developing test plans, implementing test cases, supporting automation, and troubleshooting issues for eero's WiFi products. Requires extensive experience in quality assurance, WiFi protocols, RF lab equipment, and scripting.

Senior Security Consultant for AWS ProServe, focusing on designing, implementing, and automating security solutions in AWS for customers. The role involves technical leadership, customer engagement, and mentoring junior consultants, with a strong emphasis on cloud security architecture and strategy.

Software Development Engineer II role focused on building and maintaining highly scalable financial systems for settlements, adjustments, and billing at Amazon. The role involves designing, developing, and deploying critical platforms using AWS technologies like Java, Lambda, DynamoDB, and Kinesis, with a focus on modernizing legacy systems and ensuring reliability. Responsibilities include full software development lifecycle, architectural decisions, mentoring junior engineers, and operational support.

This role focuses on optimizing production planning and supply chain operations within Amazon Robotics, leveraging advanced planning technology, data analytics, and automation. Responsibilities include creating production schedules, performing sequence optimization, developing capacity models, managing inventory, and collaborating cross-functionally to improve efficiency and reduce costs. The role involves using tools like SQL and Python for capacity modeling and monitoring KPIs.

This role is for a Front-End Engineer on the EC2 Core Platform team at Amazon. The engineer will build and operate web applications for EC2's pricing business, serving millions of AWS customers and internal teams. Key responsibilities include designing and implementing customer-facing pricing discovery tools, capacity marketplace consoles, and internal pricing management systems. The role also involves pioneering intelligent automation solutions using generative AI and agentic workflows to transform complex pricing operations. The engineer will work across the full stack, collaborate with cross-functional teams, and mentor junior engineers.

Software Development Engineer role in Amazon S3 Request Processing, focusing on building and enhancing services for processing customer request metadata, logging, and eventing. The role involves using distributed micro-services architectures and machine learning techniques to analyze requests at scale.

Senior Software Development Engineer role in Amazon S3 Request Processing, focusing on building and enhancing services for processing customer request metadata, logging, and eventing solutions. The role involves using distributed micro-services architectures and machine learning techniques to analyze requests at scale.

This role focuses on establishing and maintaining quality frameworks for AI data services, defining quality metrics, analyzing data trends, and partnering with teams to optimize workflow quality. It involves creating prescriptive actions for quality issues and evaluating quality tools. While the company is involved in generative AI, this specific role is centered on data quality assurance and process improvement, not direct AI/ML model development or research.

This role focuses on data quality within Amazon's AGI Data Services, ensuring comprehensive quality frameworks and optimizing workflows. Responsibilities include defining quality metrics, creating actions for issues, partnering with teams, analyzing data trends, monitoring performance, handling escalations, and suggesting improvements for quality tools. While the company is investing in generative AI and LLMs, this specific role is centered on data quality assurance and process optimization, not direct AI/ML model development or research.

This role is for a Delivery Consultant on the AWS Professional Services team, focusing on designing, implementing, and managing AWS Data & Analytics solutions for customers. The consultant will lead project teams, provide technical expertise, gather requirements, propose migration strategies, and act as a trusted advisor on cloud technologies and industry trends. The role involves hands-on development and ensuring solutions meet technical and business objectives.

Software Development Engineer II role focused on building and operating critical infrastructure services for Amazon's retail platform, ensuring performance and reliability at scale. The role involves working with advanced machine learning systems and distributed infrastructure, troubleshooting problems, and implementing solutions.

Amazon's Shopbop is looking for a Video Content Creator in NYC to produce social and marketing videos. The role involves end-to-end video creation, from concept to final edit, with a focus on platform-native storytelling and trend awareness. The ideal candidate will have experience in video production, strong visual storytelling skills, and knowledge of AI/CG content creation tools, with a willingness to experiment and enhance workflows using generative AI.

This role is for a Cluster Operations Leader within Amazon Web Services (AWS) Dedicated Cloud business, focusing on operating and managing rapidly-scaling, high-availability data centers for U.S. government agencies. The position requires technical expertise in data center operations, including installation, repair, maintenance of hardware and systems, and leadership of large, geographically dispersed teams. The role involves ensuring operational performance standards in safety, security, availability, capacity, people/ID&E, and cost, as well as managing budgets and continuous improvement of operational processes. A key requirement is holding an active TS/SCI security clearance with polygraph, indicating a focus on regulated environments.

This role is for a Senior Strategic Supply Chain Manager focused on optimizing Amazon's softlines supply chain in Canada. It involves strategic planning, execution, and cross-functional collaboration to drive business growth and improve operational metrics. The role requires strong analytical capabilities, experience in end-to-end supply chain strategy, and the ability to manage large catalogs and improve processes. While the role mentions using generative AI tools to enhance workflow efficiency and learning effective prompting/evaluation practices, the core responsibilities are in supply chain management, not AI/ML development.

This role is for a Software Engineer on the Machine Learning Server Software Team at Amazon's Annapurna Labs. The team focuses on hardware/software co-design for ML servers, developing software for server components, integration into EC2, and supporting manufacturing and qualification processes. The role involves working with C/C++, Python, and Lua to create maintainable, documented, tested, and reusable software for the physical systems that execute ML algorithms, rather than the algorithms themselves. It emphasizes system programming, device drivers, and high-speed interfaces like PCIe.

This role is for a Signal/Power Integrity Engineer at Amazon's Annapurna Labs, focusing on the design and validation of AWS next-generation machine learning ASICs. The engineer will work on SI/PI topics, advanced packaging, PCB design, and power delivery systems, using simulation tools like Hspice, Cadence, and HFSS. The role requires expertise in high-speed digital design and collaboration across teams to ensure product quality.

This role is for an ERP Solution Architect focused on designing and implementing SAP solutions, with a mention of integrating with Generative/Agentic AI and data/analytics domains. The core function is ERP architecture and implementation, not direct AI/ML model development.

This role focuses on building analytics and data infrastructure for customer operations within Amazon's satellite broadband initiative (Amazon Leo). The Business Intelligence Engineer will develop KPIs, create self-service reporting platforms, and provide data-driven insights to improve customer experience and operational efficiency. The role involves data gathering, synthesis, modeling, and communication of insights, using SQL, ETL, and data visualization tools.

This role focuses on assessing and optimizing the thermal performance of consumer electronic devices, specifically Amazon Leo satellites. The responsibilities include developing thermal solutions, performing simulations using tools like Star-CCM+, validating designs, and collaborating with engineering teams. The role requires expertise in thermal analysis, materials, and statistical methods, with a strong emphasis on simulation and testing for product development and manufacturing release.

This role is for a Delivery Consultant on the Amazon Web Services (AWS) Professional Services team. The consultant will design, implement, and manage AWS solutions for customers, focusing on cloud architecture, migration strategies, and technical guidance. The role requires a strong understanding of AWS services and the ability to act as a trusted advisor to clients. A TS/SCI security clearance with polygraph is mandatory.

This role is for a Security Solutions Architect at AWS, focusing on helping customers design and implement secure cloud architectures, meet compliance requirements, and manage enterprise risk. It involves technical engagement, customer workshops, and developing expertise in AWS security services.

This role focuses on fraud risk analysis and mitigation within Amazon's B2B Payments & Lending division. The analyst will conduct investigations, use data to identify risk patterns, and manage projects to improve operational efficiency. The role requires strong analytical skills, judgment, and experience with fraud-related systems and data analysis, including SQL and Python.

This role is for a Senior Software Engineer at Amazon's Annapurna Labs, focusing on developing software for machine learning accelerator platforms. Responsibilities include initializing accelerators, monitoring server health, optimizing firmware performance, developing tests, building systems software, and creating data collection and error mitigation systems at AWS scale. The role emphasizes automation, best practices, and cross-functional collaboration with hardware and software teams.

Software Development Engineer II role at Amazon focused on optimizing worldwide transportation logistics using workflows, optimization algorithms, and machine learning systems. This involves working on large-scale distributed systems that handle millions of packages, improving existing services, and building new ones to enhance customer experience and network operations.

Software Development Engineer III role focused on Amazon's global fulfillment network, optimizing worldwide transportation using workflows, optimization algorithms, and machine learning systems. The role involves working on large-scale distributed systems to improve customer experience and network operations.