Amazon

This role is for a Senior Business Intelligence Engineer responsible for building and owning the operational analytics ecosystem for Amazon Now's Finance, Supply Chain, Delivery, and Under-the-Roof operations. The role involves defining KPIs, building data pipelines, developing dashboards, conducting deep-dive analyses, and creating self-serve analytics capabilities in a greenfield environment.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments, with a strong emphasis on governance, risk, and compliance (GRC) as they migrate workloads and regulated data to the AWS cloud. The role involves understanding and addressing specific risk, regulatory, and compliance requirements, translating them into scalable solutions, and communicating with stakeholders at all levels. While the team works with generative AI innovation centers, this specific role is centered on security and compliance in the cloud, not on building or directly deploying AI/ML models.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments, with a specific emphasis on governance, risk, and compliance. The role involves advising customers on architectures that meet various industry standards and regulatory requirements, and demonstrating how to automate compliance in the AWS cloud. While the team works with the Generative AI Innovation Center, the core responsibilities are centered around security and compliance consulting, not direct AI/ML model development or deployment.

This role is for a Senior Vendor Manager in Amazon's Kitchen category. The primary responsibilities include managing the P&L, developing category strategy, building vendor partnerships, driving selection, profitability, and customer experience. The role requires strong business judgment, negotiation skills, analytical thinking, and leadership.

Senior Software Development Engineer for Amazon's MLIL FLOW team, focusing on systems software for next-generation ML accelerator servers. Responsibilities include leading the design and implementation of hardware validation, diagnostics, and operational software for these servers, from silicon bring-up to fleet-scale deployment. The role involves working with hardware and other teams, debugging complex issues, building data pipelines, and mentoring engineers.

This role is a Security Go-To-Market (GTM) Specialist for the AWS SSO Security team. The primary focus is on driving adoption of AWS security services, accelerating customer compliance journeys, and building relationships with customer CISOs. While the role involves using AI to solve security issues and focuses on Generative AI security, the core responsibilities are in sales, customer engagement, and GTM strategy for security and compliance solutions, rather than direct AI/ML development or research.

Mechanical-Thermal Design Engineer for ML training and inference accelerators, focusing on add-in cards, GPU sleds, and racks. Responsibilities include owning mechanical-thermal design, leading ODM/vendor engagements, debugging failures, conducting experiments, and site visits.

This role is for a Systems Engineer focused on Windows infrastructure within the AWS Region Services team in Australia. The primary responsibilities include designing, implementing, and automating complex Windows infrastructure solutions, managing Active Directory, and developing Infrastructure as Code. While the team works with AI and ML services, this specific role is centered on the underlying Windows systems engineering and automation, not direct AI/ML model development or deployment.

Senior engineering leader to build next-generation functionalities and infrastructure in AWS Identity, focusing on security and customer access control. The role involves leading a team, developing strategic roadmaps, and driving transformation across AWS engineering, potentially leveraging AI. Requires experience in building scalable and resilient systems, managing global footprints, and partnering with Product Management.

This role is for a Systems Development Engineer on the AWS Region Services team in Sydney, Australia. The primary focus is on supporting and refining system requirements, developing and delivering operability features like monitoring, diagnostics, and self-healing automation. The role involves managing and improving operations for scalable, high-availability cloud services, including participating in on-call rotations and incident resolution. While the team works with AI/ML, this specific role is centered on the engineering and operational aspects of secure cloud infrastructure, not direct AI/ML model development or research. It requires experience with automation, programming languages, Linux/Unix, and ideally with distributed systems, performance tuning, and infrastructure as code.

This role is part of the AWS EMEA Field Enablement team, focusing on developing and delivering learning experiences for sales teams. The role involves creating and improving onboarding and continuous readiness programs, facilitating training sessions, gathering feedback, tracking KPIs, and supporting the adoption of AI-powered selling tools. The goal is to enhance seller confidence and capability to drive customer impact.

This role is for a Physical Design Engineer focused on custom SoCs for AWS Machine Learning servers, including Inferentia and Trainium Systems. The engineer will be responsible for full chip floorplan, placement, integration, signoff, and tapeout, collaborating with FE teams and using industry-standard EDA tools for physical verification. The role requires expertise in physical verification, semiconductor manufacturing processes, and successful tape-outs, with a focus on advanced technology nodes.

This role focuses on creating functional prototypes for Amazon's consumer devices and services, bridging design and engineering to innovate user experiences. It involves building interactive prototypes to validate design concepts, collaborating with cross-functional teams, and potentially integrating emerging technologies.

Software Development Engineer role focused on building and maintaining large-scale data pipelines, signal collection systems, and analytics infrastructure for Amazon Ads Traffic Quality. The role involves designing, implementing, testing, and deploying production-level systems to identify and mitigate invalid traffic (IVT) and fraudulent engagement patterns in programmatic advertising. It emphasizes operational excellence, delivering high-quality code, and collaborating with cross-functional teams.

Senior Solutions Architect for AWS Global Services in Australia, focusing on helping customers design, build, and operate cloud environments. The role involves technical consulting, relationship building, and acting as a trusted advisor to accelerate cloud adoption. It also includes evangelizing AWS services through content creation and community engagement, and providing feedback to product teams.

Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure, working on custom silicon (e.g., Graviton, ML accelerators) and innovative networking solutions.

This role is for a Startup Business Development Manager at Amazon Web Services (AWS) in China. The primary focus is on partnering with startups, VCs, and accelerators to drive AWS adoption and growth. The role involves evangelizing AWS services, building relationships, participating in events, and identifying high-potential startups and emerging technologies. It is a business development and relationship management role within the cloud computing sector, not a technical AI/ML role.

Senior Software Development Engineer on the AWS Commerce Platform team, responsible for designing, developing, and operating highly available, secure systems that handle confidential billing data at scale. The role involves contributing to growth by hiring engineers, ensuring architectural sanity, operational excellence, and quality, and working across teams to deliver platform features. Key focuses include protecting customer information, maintaining low latencies, and simplifying commerce complexity.

Software Development Engineer II for AWS Invoicing, focusing on designing, developing, and operating key system products and services in a large-scale, distributed environment. The role requires strong software development experience, system design and architecture skills, and the ability to work in an Agile/Scrum environment. While the company operates in the cloud space which includes AI/ML services, this specific role is focused on core invoicing systems and not directly on building or researching AI/ML models.

Software Development Engineer role within the AWS Commerce Platform team, focusing on building and managing the back and front-end services for AWS customers to purchase, understand, and manage their infrastructure costs. The role involves tackling scalability, performance, and distributed computing challenges, processing large volumes of data using stream processing and map-reduce techniques, and managing data with advanced database technologies. The team emphasizes work-life balance, mentorship, and an inclusive culture.

Principal Applied Scientist role focused on automated reasoning, privacy, and sovereignty within AWS. Requires a PhD, experience in professional software development, and programming in specific languages like O'Caml or Dafny. The role involves solving complex problems, leading design and implementation of solutions, providing cross-organizational technical influence, and mentoring others.

Account Manager for Amazon Web Services (AWS) Public Sector in Argentina, focusing on driving revenue and market share in government, state-owned enterprises, education, healthcare, and nonprofit organizations. Responsibilities include developing territory plans, articulating value propositions, managing negotiations, and fostering customer relationships.

Senior Vendor Manager for Amazon Canada's Consumables business, responsible for P&L management, strategic vendor negotiations, driving business improvement and innovation, and cross-functional collaboration. Requires strong analytical, project management, and leadership skills to manage a large business segment in a fast-paced, start-up-like environment.

Embedded Software Engineer role focused on developing and maintaining firmware for Machine Learning Accelerator (MLA) servers, including BMC and SMC software, device drivers, and control systems. The role involves hardware/software co-design and supporting the physical systems that execute ML workloads, rather than developing ML algorithms themselves.

Senior Delivery Consultant for AWS Professional Services, focusing on cloud migrations and modernization. The role involves designing, implementing, and managing AWS solutions, providing technical guidance, and advising customers on cloud strategies and emerging technologies. Requires extensive experience in distributed systems, software development, cloud solutions, project management, and databases.

Lead a DevOps team responsible for Data Analytics and Machine Learning services within AWS, focusing on building and operating massively scalable distributed systems and cloud computing offerings. Requires strong leadership, technical ability, and experience in developing and operating platforms and services.

Reliability Engineer focused on Root Cause Analysis (RCA) and Failure Modes and Effects Analysis (FMEA) to identify and eliminate causes of failures, improve system reliability, and drive measurable improvements in uptime and performance. The role involves analyzing data, building dashboards, and collaborating with cross-functional teams to implement reliability improvements and enhance RCA/FMEA tools.

Reliability Engineer focused on RCA and FMEA to identify and eliminate failure causes, improve uptime and performance, and proactively identify risks through FMEA. Analyzes data to identify trends and systemic issues, builds BI dashboards, and drives cross-functional execution of reliability improvements. Collaborates with DevOps teams to enhance RCA/FMEA tools.

Senior Principal Software Engineer role focused on developing and optimizing Amazon's externalized shipping business. The role involves deep understanding of end-to-end fulfillment and transportation operations, strategic planning for system convergence, and leading complex, cross-cutting technical challenges. It requires influencing multiple teams, acting as a technical authority, and mentoring other engineers. While the role involves partnering with ML experts for optimizations, its core focus is on software engineering and operational systems within the shipping domain.

This role is for a Delivery Consultant on the Amazon Web Services (AWS) Professional Services team. 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 complex solutions, gathering requirements, proposing migration strategies, advising on industry trends, and leading implementation processes. The role requires a US Citizen with an active TS/SCI security clearance with polygraph.

Software Development Engineer II role at Amazon India Emerging Payments team to design and build a new Fintech Payments product from the ground up. The product will serve as a new payment gateway for millions of Amazon India customers, handling sensitive data at high traffic and low latency. The role involves learning and using AWS technologies, with opportunities to work on Machine Learning and interact with partners like Banks and NBFCs. The platform will be designed for other emerging economies, with potential for patent creation. Requires strong computer fundamentals and experience in large-scale distributed systems and web applications.

Technical Program Manager for AWS's AI Data Center Network Build team, responsible for end-to-end network delivery across US data center builds for ML workloads. This role involves coordinating construction, deployment, and validation of network infrastructure, working with network engineers, data center construction teams, and supply chain to ensure timely and accurate delivery of production fabric readiness for AI services.

Amazon Robotics is seeking an experienced Robotics Control Engineer to join their Motion Planning and Control team. The role involves designing, developing, and implementing real-time robotic systems for fulfillment centers, focusing on motion planning, control theory, and machine learning applications. Responsibilities include developing control code, system optimizations, and collaborating with hardware and software teams from prototyping to production. The position requires experience with robotics work cells, control systems, and programming languages like C++ and Codesys, with a focus on launching, testing, and debugging systems in lab and field environments.

This role is for a Business Development professional focused on the Life Sciences and Healthcare (LSHC) industry within Amazon Web Services (AWS) China. The primary responsibility is to work with greenfield accounts and service team leaders to develop new manufacturing solutions, business models, and partnerships. The role involves monitoring industry trends, identifying customer needs, developing business opportunities, and implementing sales strategies to drive growth in this sector. It is a sales and business development role, not directly involved in building or shipping AI/ML models.

This role is for a Territory Business Development Manager for the SMB North Team in China, focusing on driving revenue and market share for Amazon Web Services (AWS). The responsibilities include meeting revenue targets, managing pipelines, working with partners, and developing strategic relationships with key accounts.

This role is for a Senior Data Engineer/Architect focused on designing and building data lakes, data warehouses, and scalable data platforms in the cloud for public sector customers. The role involves translating business outcomes into data architecture and engineering solutions, optimizing data platforms, and acting as a trusted advisor on data technologies. While it supports ML solutions, the core focus is on data infrastructure and engineering, not direct AI/ML model development.

Software Development Engineer role focused on building next-gen data lakes and cloud networking fabric for Amazon, with an emphasis on applying Generative AI to solve complex problems at scale within microservices architecture.

This role focuses on automated reasoning, privacy, and sovereignty within AWS, requiring deep knowledge in areas like SAT, SMT, symbolic simulation, and program analysis. The candidate will solve complex problems, lead design and implementation, and provide cross-organizational technical influence. While the company is in AI, the core craft of this role is not AI/ML model building but rather formal methods and reasoning.

This role focuses on automated reasoning, which is a subfield of AI, but the core responsibilities involve traditional computer science research in areas like SAT, SMT, theorem proving, and program analysis, rather than direct application or development of modern ML/LLM models. The role is classified as Research, with a primary stage of L0 (data/foundational research) and an AI score of 0 because it does not directly involve shipping ML models or agents.

This role focuses on automated reasoning, which is a subfield of AI, but the core responsibilities and required skills (SAT, SMT, theorem proving, program analysis) are more aligned with traditional computer science research and formal methods rather than the development or deployment of machine learning models or agents. The role is classified as Research within the Enterprise AI domain, with an AI maturity signal of Exploring, and a primary stage of L0 (Data) due to the foundational nature of the research in logic and formal systems, which can be seen as a form of data preparation or foundational work for more complex AI systems. However, since the role does not directly ship ML models or agents, it is marked as not AI-related.

This role focuses on automated reasoning, privacy, and sovereignty within AWS, solving complex problems with deep scientific innovation and providing cross-organizational technical influence. It involves developing strategic plans for new solutions and mentoring others.

This role focuses on automated reasoning, which is a subfield of AI, but the core responsibilities and required skills (SAT, SMT, theorem proving, program analysis) do not directly involve building or shipping AI/ML models or agents as defined by the schema's stages L0-L6. The role is more aligned with traditional computer science research in formal methods and logic, rather than the direct application or development of AI/ML systems.

This role is for a Senior Delivery Consultant at Amazon Web Services (AWS) Professional Services, specializing in the telecommunications industry. The consultant will design, implement, and manage AWS solutions for telecom customers, focusing on cloud and virtualized network functions, BSS, OSS, Private 5G, Public 5G, MEC, and enterprise IT applications. Key responsibilities include technical leadership, hands-on implementation of IaC and CI/CD workflows, customer advisory, project delivery, and automation for telecom operations. The role requires deep understanding of AWS services and telecom industry challenges, with an emphasis on cloud-native solutions and DevOps practices.

This role is for a highly technical Application Architect at Amazon Web Services (AWS) who will help customers develop technical expertise and capacity, collaborate on key engagements, deliver pilot projects, conduct workshops, and lead implementation projects. The role involves architecting scalable and highly available application solutions leveraging AWS services, optimizing applications for the cloud, and acting as a technical leader. Responsibilities include providing deep software development knowledge in cloud architecture, design patterns, and programming, advising on AWS best practices, and implementing DevOps practices like infrastructure as code, CI, and automated deployment. The role requires knowledge of core AWS services (EC2, ELB, RDS, Route53, S3) and experience implementing AWS services in distributed environments. Preferred qualifications include extensive IT implementation experience, expertise in cloud computing technologies, and experience leading the design, development, and deployment of business software at scale.

This role is responsible for developing and executing the energy strategy for AWS data centers, managing complex power infrastructure projects, and collaborating with utilities and internal teams to ensure reliable and cost-effective energy supply. The role involves strategic planning, project management, stakeholder management, and financial oversight within the energy sector.

Software Developer role focused on building the kernel stack and BSP for SoCs with custom hardware accelerators for consumer electronics. Responsibilities include developing bootloaders, device drivers, kernel support, hardware bring-up, and maintaining embedded Linux distributions. Experience with C/C++, embedded development, and specific bootloaders/drivers is required.

This role focuses on deploying, scaling, and automating network infrastructure for AWS global services, including creating deployment processes, defining network standards, and collaborating with automation teams to enhance scalability. It involves working with network fabrics, ensuring efficient internet traffic flow, and managing network designs from concept to production.