Software Development Engineer role in Amazon's Selling Partner Services team, focusing on building a technology platform for selling partners. The role involves optimizing data synthesis and business rules for financial information, using Java, DynamoDB, Postgres, and ElasticSearch. While the core function is not AI development, there's a preference for candidates who can leverage generative AI tools for workflow enhancement and identify opportunities to integrate AI solutions.

Lead a team of Software Development Engineers to build and run the control plane and data streaming systems that drive EC2 instance placement decisions. Create the vision and drive the roadmap for your team, thinking big about how data can be leveraged to improve how EC2 offers compute power to customers. Attract and grow hire-performing engineers for your team. Mentor and coach your team members and foster an inclusive engineering culture. Maintain a high-level of operational excellence. Lead and refine the team’s agile software development process. The successful Software Development Manager has solid technical leadership experience and a proven track-record in managing teams to deliver results. You have a strong software engineering background, with an interest towards optimization, machine learning and data streaming technologies. You demonstrate bias for action to get the right things done and engage thoughtfully with customers and stakeholders to understand their needs. You show excellent judgement in establishing priorities, and can successfully manage implementation in an agile environment.

This role focuses on developing the low-level software stack (drivers, runtime libraries, communication software) for custom ML accelerators (SoCs) designed by Amazon's Annapurna Labs. It involves working at the hardware-software boundary, pre-silicon and post-silicon, on SoC models, validation, and performance optimization. While the chips are for ML training and inference, the role itself is systems software engineering, not directly building ML models or agents.

Senior Pre-Silicon SoC Modeling Engineer for AWS Machine Learning Accelerators. The role involves building and owning C++ models of custom SoCs (Trainium and Inferentia) used by RTL designers, verification engineers, and software teams. Responsibilities include translating architecture specs into models, validating against RTL, developing model-based test infrastructure, and contributing to performance modeling. The role emphasizes ownership and impact on silicon development, with a clear path into architectural modeling. No ML background is required as the domain knowledge will be learned on the job.

This role is for an Application Engineer within Amazon's Retail Business Services (RBS) team. The team develops automation leveraging Machine/Deep Learning to scale complex tasks. The Application Engineer will work with business teams to solve support needs, translate requirements into deliverables, build scalable systems, maintain services, and contribute to operational efficiency. Responsibilities include on-call support, troubleshooting, and client onboarding.

Software Development Engineers to innovate and automate Amazon JP Operations and beyond, focusing on supply chain and fulfillment optimization. Responsibilities include designing, developing, testing, deploying, and maintaining distributed software solutions across various technical stacks and domains, including web applications, backend services, cloud architecture, and machine learning.

Seeking a Sr. Package Layout Engineer to lead the end-to-end physical design of advanced IC packages for next-generation machine learning and data center ASICs. This role involves owning the package layout from floor planning through tape out and manufacturing release, driving the physical implementation of complex multi-die and advanced packaging architectures.

System Development Manager for AWS Incident Response (AIR) team in Seattle. Leads engineers in operational excellence and tooling delivery for incident response, detection, and observability. Owns incident response leadership, detection & observability improvement, cross-site coordination, post-incident analysis, and team development. Focuses on systems engineering and operational leadership to improve AWS resiliency.

Software Development Engineer II focused on building and improving large-scale distributed systems for Amazon's global fulfillment network, utilizing workflows, optimization algorithms, and machine learning systems to solve complex transportation problems.

Senior Technical Program Manager for Amazon's Silicon and Systems Group, focusing on pre-silicon readiness, silicon bring-up, and validation of next-generation SOC solutions. The role involves coordinating cross-functional engineering teams and ensuring successful first silicon boot and production readiness.

Software Development Engineer II on the Amazon Product Detail Page team, focusing on building a highly scalable, multi-tiered shopping application to enhance the online shopping experience for millions of customers worldwide. The role involves developing next-generation technologies and requires a strong commitment to engineering excellence, including quality, consistency, maintainability, and efficiency.

Business Analyst III role focused on complex analytical workstreams, defining analytical strategy, and influencing product/operational decisions. Responsibilities include data extraction, analysis, model development, dashboard creation, root-cause analysis, KPI management, and providing actionable recommendations. Requires leadership in analytical projects, cross-functional collaboration, and stakeholder communication, with a focus on transaction integrity, compliance, and operational efficiency within the Identity Verification and Account Support domains.

Software Development Manager for Amazon's FinTech organization, focusing on building and leading a team to develop large-scale, globally scalable financial systems. The role involves driving innovation, owning the team's roadmap and customer experience, ensuring engineering excellence, and making key architectural decisions for highly-available and resilient systems. The team's charter includes expanding compliance monitoring using advanced techniques and integrating AI/ML capabilities.

Software Development Engineer III role focused on optimizing Amazon's global shipping network using workflows, optimization algorithms, and machine learning systems. This role involves working on large-scale distributed systems that handle millions of packages, improving existing services, and building new ones to enhance customer experience and optimize network operations.

Software Development Engineer in Test (SDET) role focused on automating test infrastructure for next-generation consumer electronics platforms, specifically involving audio technologies. The role requires building test frameworks, tools, and automation for audio testing, with some exposure to ML model testing and AI agents as a preferred qualification.

Senior Kernel Engineer to build kernel stack and BSP for SoCs with custom hardware accelerators for consumer electronics, focusing on ML, computer vision, and robotics applications. Responsibilities include developing BSP components, collaborating on silicon features, silicon bring-up, debugging, and optimizing OS/kernel solutions.

Lead the team delivering virtual platforms for custom silicon (Trainium/Inferentia chips) used by software teams for pre-silicon development and validation. Own the roadmap, drive usability, performance, and scalability, and build CI/CD infrastructure. This is a builder-leader role focused on system modeling and leading engineers, with no ML background required.

Software Development Engineer role on the AWS Elastic MapReduce (EMR) team, focusing on building and improving large-scale data processing systems and features for customers running open-source data frameworks like Hadoop and Spark. The role involves designing, developing, and operating next-generation cluster management systems and real-time data processing capabilities.

This role is for a Software Development Manager in Amazon's Transportation Financial Systems team. The primary focus is on managing a team of engineers to build and maintain scalable, innovative solutions for carrier invoice automation, ensuring compliance with regional and global financial regulations (Tax, e-invoicing, SOX, GRC, ACT). The role involves technical roadmap creation, stakeholder management, and driving innovation for systems handling billions of transactions. While the company leverages ML and GenAI, this specific role is centered on engineering management and building compliant financial systems, not direct AI/ML model development.

Senior Software Development Engineer III (SDE3) to join the ShopBop Technology team, leading software development and technical initiatives across a wide array of systems. Responsibilities include leading development of Java-based applications on AWS, collaborating with product managers and designers, mentoring junior developers, championing best practices, and fostering team growth. The role requires experience in software development, programming, system design/architecture, and technical leadership. Preferred qualifications include full SDLC experience and familiarity with generative AI tools for workflow enhancement.

Executive Assistant supporting the Data Intelligence team within Amazon Customer Service, which focuses on accelerating AI initiatives through data and advanced technologies like Generative AI and Machine Learning.

This role is for a Senior Solutions Architect at AWS, focusing on the Media and Entertainment industry. The primary responsibilities include educating customers and internal stakeholders on emerging technologies and solutions, providing architectural guidance for customer projects, and creating content. The role requires extensive experience in technology domains, cloud computing, and IT implementation, with a preference for Games Industry experience.

Data Engineer role focused on building a new mission-critical system for data protection within Amazon's Security Products group. The role involves creating reliable, scalable, and high-performance data pipelines and systems, with opportunities for innovation using machine learning techniques. While ML background is a nice-to-have, the core responsibilities are data engineering, ETL, and SQL.

This role focuses on application security engineering within Amazon Stores, collaborating with development teams to ensure customer safety. Responsibilities include threat modeling, security architecture guidance, secure code review, developing security automation tools, conducting application security research, and adversarial analysis. The role requires strong technical acumen, leadership influence, and clear communication skills, with an emphasis on identifying and mitigating security risks in a wide array of technologies, including those leveraging AWS.

This role is for an Engagement Manager at AWS Professional Services in Korea, focusing on leading the delivery of complex cloud solution projects. The role involves combining technical expertise with project leadership to bridge business requirements with technical solutions, manage technical risks, and ensure successful implementation of AWS-based solutions. It requires strong program/project management experience and technical credibility across diverse stakeholders, but does not involve direct AI/ML model development or research.

Software Development Engineer II role focused on building full-stack technology and services for Amazon's DCA (Device Content & Advertiser) division, which includes Fire TV and Fire Tablet. The role involves defining and implementing customer experiences, collaborating with product and UX teams, and delivering high-quality software in an Agile environment. The position requires experience in software development, system design, and programming languages like Java, C++, or C#.

This role is for a Principal ProServe Cloud Architect at Amazon Web Services (AWS). The architect will work with customers to understand their technical requirements and business objectives, designing and implementing tailored cloud solutions. They will be a key player in the sales process, providing technical expertise and guidance, and acting as a trusted advisor on industry trends and emerging technologies. The role involves creating and leading solution designs to achieve customer business outcomes, collaborating with sales and delivery teams, and sharing knowledge within the organization.

This role focuses on data collection and processing, requiring attention to detail, organizational skills, and the ability to learn quickly. While it mentions machine learning data processing needs, the core responsibilities are centered around executing collection procedures, documenting information, and suggesting improvements to tools and protocols, rather than directly building or researching AI models.

This role is an Associate DevOps Analyst for AWS Region Services in Melbourne, Australia. The primary focus is on supporting and operating AWS services in secure, scalable environments, including those involving AI and ML, but the role itself is not directly building or researching AI/ML models. 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, working with development teams, resolving tickets, performing code builds and deployments, and interpreting metrics. Basic qualifications include experience in 24/7 production environments, Linux/Unix OS, and production computing support. Preferred qualifications include CI/CD, networking, scripting, troubleshooting, and documentation skills. The role requires Australian citizenship and the ability to obtain a government security clearance.

Data Engineer role focused on building foundational analytical datasets and data pipelines using AWS services for Amazon's digital businesses. The role involves ETL, data modeling, and partnering with various teams including MLEs and Scientists.

Software Development Engineer role within AWS Kumo Last-Mile team, focusing on scaling AWS support capabilities through innovative solutions, automation, and customer-centric IT support. The role involves contributing to the complete vertical stack of an SOA based system, utilizing various technologies including Kotlin, Java, JavaScript, Ruby, and AWS services. The team employs machine learning for understanding customer behavior, predicting intent, personalizing content, and automating issue resolution via chatbots.

The Controls Engineer will deploy and service data center building automation systems (BMS, EPMS) for AWS global infrastructure, ensuring data center health, managing vendors, and resolving operational issues. This role involves project delivery for upgrades and new builds, local servicing, and collaboration with various internal teams and external vendors.

Security Engineer role at Amazon Stores focused on application security, collaborating with development teams to ensure customer safety. Responsibilities include threat modeling, code review, security research, developing automation tools, and providing security guidance. Requires experience in application security assessments, threat modeling, secure code review, and programming in languages like Python or Java. Preferred qualifications include experience with AWS, SDLC security phases, and building scalable security solutions.

Security Engineer II role focused on application security within Amazon Stores. Responsibilities include threat modeling, secure code review, developing security automation tools, and providing security guidance to software development teams. The role requires technical security expertise, strong communication skills, and the ability to influence partners towards secure solutions. It emphasizes collaboration with development teams to ensure customer safety while building novel services.

This role is for a Principal ProServe Cloud Architect at Amazon Web Services (AWS) in London. The primary focus is on designing and implementing tailored cloud solutions for customers, acting as a trusted advisor and a key player in the sales process. Responsibilities include creating solution designs, providing technical guidance, collaborating with sales and delivery teams, and sharing knowledge within the organization. The role requires extensive experience in cloud architecture, solution implementation, and IT project management, with a strong emphasis on understanding customer business outcomes and translating technical concepts into business value. Experience with compliance and risk management is also a requirement.

This role is for a Sr. ASIC Design Engineer focused on designing and optimizing hardware (SoCs, accelerators) for AWS's machine learning inference servers, such as AWS Inferentia. The responsibilities include RTL design, SOC integration, performance/power/area analysis, and working with various engineering teams. While the hardware is for ML acceleration, the core craft of the role is ASIC design, not AI/ML model development.

Software Development Engineer II for AWS Data Processing and Analytics team, focusing on building and scaling a next-generation serverless analytics platform with Apache Spark and Python. The role involves designing, developing, and operating distributed systems at massive scale, aiming for super-low latencies and high reliability. It requires technical leadership, system architecture ownership, and collaboration across teams.

This role is for a Software Development Manager III on the Worldwide Return and ReCommerce team at Amazon. The team focuses on eliminating defects, reducing return costs, minimizing waste, and achieving net-zero carbon emissions. The manager will lead an engineering team responsible for building and operating software, hiring and mentoring engineers, understanding customer requirements, and contributing to long-term technology strategies. While the team trains machine learning models, the core of this management role is not directly building or shipping AI models, but rather managing the software development lifecycle and operational excellence within a broader business context.

Seeking an Electro-Mechanical Assembly, Integration, & Testing (AIT) Specialist for the Amazon Center for Quantum Computing. Responsibilities include assembling and testing complex electrical and mechanical systems, working with cryogenic systems, microwave electronics, and support hardware. The role involves mechanical assembly, hardware integration, maintenance, and servicing cryogenic test setups, as well as maintaining lab infrastructure and composing technical documents.

This role is for a Sr. Global Commodity Manager focused on Compute & Vision components within Amazon Robotics. The primary responsibility is managing global suppliers for electronic components, including CPUs, GPUs, NPUs, SoCs, SoMs, and camera/optics. Key tasks involve supplier relationship management, negotiation, contract development, sourcing strategy, cost reduction, and ensuring suppliers meet technical and commercial specifications to support new product introduction and long-term commodity strategy for robotics hardware.

Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams. Requires strong computer science fundamentals, C/C++ or Rust in Linux, and experience with development tools. Knowledge of ML frameworks and cluster management is highly preferred.

Software Development Engineer role focused on solving complex problems in worldwide transportation using workflows, optimization algorithms, and machine learning systems within Amazon's global fulfillment network. This involves working on large-scale distributed systems handling millions of packages, improving existing services, and building new ones.

Lead Software Development Engineer for Audible's Player team, responsible for building and maintaining the audio listening platform that serves millions of users. The role involves defining, designing, and refining the technology for the end-to-end audio listening experience, including player clients, content security, delivery infrastructure, and data synchronization across devices. The position requires leading technical initiatives, mentoring developers, and setting technical strategy.

Software Development Engineer II role focused on building and maintaining critical services for the Cart, Checkout, and payment processing for Amazon's fashion subsidiaries (Shopbop and Zappos). The role involves scoping, designing, and building systems, working with stakeholders, and improving customer experience in e-commerce.

Manager III, Systems for Shopbop and Zappos, leading a distributed team of 8-10 engineers responsible for IT infrastructure, network systems, cloud services, audio/visual systems, and end-user computing. The role involves team leadership, network and systems engineering, IT operations, studio technology support, and strategic initiatives with Amazon IT, including driving adoption of AI-powered tools.

This role focuses on applying formal verification, program analysis, constraint-solving, and theorem proving to build tools for identifying security and safety issues in software systems. The scientist will create prototypes, integrate them into production, and support their scaling, interacting with internal teams and external customers to understand requirements and deliver solutions.

Manager for a global fiber deployment team at AWS, responsible for network infrastructure expansion, program management, vendor relations, budget management, and team leadership. Focuses on scaling and expanding the low-latency, high-throughput network that supports AWS services, including AI/ML applications.