Aws Jobs in Seattle, USA

The AI agent era is here, and you'll define how the market understands it.<br/><br/>Amazon Bedrock and AgentCore represent one of the fastest-growing product areas in AWS history, powering the next generation of AI-native applications and autonomous agents for the world's largest enterprises. We're looking for a Principal Product Marketing Manager - Tech to serve as the senior technical marketing authority for this portfolio: the person who defines the category narrative, builds the positioning architecture, and sets the craft standard that the broader PMM team executes against.<br/><br/>This is a category-defining IC role. You'll solve the hardest positioning problems in the portfolio, create the frameworks others build on, and serve as the external voice customers and analysts associate with AWS's agentic AI vision. Your work will directly shape how CxOs, developers, and the broader market perceive the most consequential platform shift since cloud.<br/><br/>You'll operate at the intersection of product strategy, market shaping, and executive storytelling, partnering with VPs, GMs, and Distinguished Engineers across Amazon Bedrock, Amazon Bedrock AgentCore, and Strands Agents (our open-source agent SDK). <br/><br/>Why This Role<br/>* Category authority. Your job is to be the deepest, sharpest thinker on agentic AI positioning in AWS. <br/>* Strategic influence through craft. Direct partnership with VPs and GMs who treat exceptional marketing thinking as a first-class input to product strategy.<br/>* Keynote-level visibility. re:Invent mainstage, Gartner/Forrester interactions, CEO-level customer conversations, and AWS leadership narratives.<br/>* Multiplier impact. Mentor PMMs, establish quality bars, and build reusable frameworks that scale your thinking beyond what one person could ship alone.<br/>* Greenfield opportunity. This category is being defined in real time. You'll have the ambiguity (and the autonomy) to shape it.<br/><br/>Key job responsibilities<br/>* Define the category narrative. Establish the positioning architecture, competitive frameworks, and market vocabulary for AWS's agentic AI portfolio. This is the scaffolding the rest of the team builds on.<br/>* Solve the hardest positioning problems. Take on the products and capabilities where the "right way to talk about this" doesn't yet exist, translating deep architectural complexity into mental models that move markets.<br/>* Shape product strategy through market insight. Synthesize customer patterns, competitive dynamics, analyst perspectives, and usage data into strategic recommendations that influence VP-level roadmap decisions across multiple product teams.<br/>* Serve as the leading external voice. Represent AWS's agentic AI vision in keynotes, analyst briefings (Gartner, Forrester, IDC), and executive customer engagements. You are the named expert for this category.<br/>* Elevate the team's craft. Set quality bars for positioning, messaging, and launch execution. Coach PMMs on the "how." Create playbooks and templates that encode your expertise into scalable assets.<br/>* Lead cross-portfolio launches. Orchestrate high-visibility launches that span multiple product teams, require senior leadership alignment, and set new benchmarks for impact.<br/>* Drive category-level adoption strategy. Develop cross-product adoption narratives that connect builder journeys from experimentation through production, working across developer relations, solutions architecture, field enablement, and partner teams.<br/><br/>About the team<br/>Diverse Experiences<br/>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.<br/><br/>Why AWS?<br/>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.<br/><br/>Inclusive Team Culture<br/>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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br/><br/>Mentorship & Career Growth<br/>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.<br/><br/>Work/Life Balance<br/>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.

Amazon Web Services is looking for a self-motivated Executive Assistant to support 2 directors in the fast-growing AWS Specialists & Partners Org. This role requires attention to detail, solid organizational skills, and the ability to meet tight deadlines while juggling multiple critical requests. The Executive Assistant will act as a seamless extension of their executives and will work closely with other Executive Assistants throughout the organization. A high level of integrity and discretion in handling confidential information is important, as well as professionalism in dealing with senior executives inside and outside of the company. The successful candidate will possess the ability to complete complex tasks quickly, autonomously, react with appropriate urgency to situations that require a quick turnaround, and take effective action without having to know the whole picture. The ideal candidate must be able to work successfully in a team environment and build effective working relationships inside and outside the group.<br/><br/>Areas of responsibility:<br/><br/>Manage multiple complex calendars and scheduling requirements<br/>Track and help drive completion of key deliverables and following up on action items<br/>Update team organizational charts<br/>Manage group logistics<br/>Coordinate travel<br/>Participate in planning of events<br/><br/>Basic qualifications<br/>+5 Years of EA experience supporting executive level calendars<br/>Ability to think and plan ahead, delegate responsibilities appropriately, and manage time effectively<br/>Ability to handle confidential information with discretion, and deal with professionals inside and outside the company<br/>Experience managing or mentoring others<br/>Experience with reconciling expenses, booking travel, and exercising sound judgement<br/>Exceptional written, verbal, and interpersonal communication skills<br/>Ability to take on additional projects outside of core responsibilities<br/>Ability to work in a highly ambiguous environment<br/>Work closely with the leadership team and other Executive Assistants to provide support to the organization<br/>

Amazon DynamoDB is a fully managed NoSQL database that serves more than 1 million customers and delivers single-digit millisecond performance at any scale. It supports individual tables over 200TB and sustains over half a million requests per second for hundreds of customers, with up to 99.999% availability. Behind that scale sits a large fleet of capacity that must be placed and balanced continuously. We are looking for an Applied Scientist to advance the science of capacity utilization and data placement across the DynamoDB fleet.<br/><br/>You will work backwards from customer experience and fleet economics to find where capacity is used inefficiently, where scaling bottlenecks constrain the service, and where smarter data placement can raise utilization without degrading latency or availability.<br/><br/>You will turn these findings into models and algorithms that inform capacity profile decisions and placement policy. You will partner closely with the DynamoDB teams to bring your inputs into production decisions.<br/><br/>This is a customer-obsessed science role for a self-driven scientist. Many of the problems are not yet well defined and no textbook solution exists. You will frame the problem, extend state-of-the-art approaches or invent new ones, and drive the work to production impact with a strong bias for action.<br/><br/><br/>Key job responsibilities<br/>Identify capacity usage optimization opportunities across the DynamoDB fleet. Quantify the customer and cost impact of each opportunity.<br/> - Model the scaling bottlenecks of the service and characterize how they constrain placement and utilization.<br/> - Develop data placement approaches that balance customer experience (latency, availability, throughput headroom) against optimal capacity utilization.<br/> - Partner with the DynamoDB performance team to incorporate your inputs into capacity profile decisions and placement policy. Validate impact with production data.<br/> - Build components that integrate directly into production systems or that directly support the large systems making placement and capacity decisions.<br/> - Scrutinize the performance of your algorithms and software during implementation. Resolve root causes and leave systems easier to maintain.<br/> - Author or co-author papers for internal or external peer-reviewed venues when the work is novel and business considerations allow.

AWS Infrastructure Services is the backbone of Amazon Web Services, responsible for the design, planning, delivery, and operation of AWS's global infrastructure. We are the driving force that keeps the cloud running, supporting all AWS data centers and managing the servers, storage, networking, power, and cooling equipment that ensure uninterrupted access to innovation for our customers worldwide.<br/><br/>Our team tackles the most complex challenges in cloud infrastructure, juggling thousands of variables across the supply chain. We're seeking exceptional talent to join us in this mission-critical endeavor.<br/><br/>The Role<br/>We are seeking a Senior Materials Manager to own and drive complex, multi-region inventory and<br/>supply chain strategies across AWS Infrastructure. This is not a role for someone who executes within<br/>established frameworks — it's for a builder who creates them. You will serve as a subject matter expert across multiple supply chain domains, influencing senior leadership decisions, developing new methodologies, and delivering organization-wide impact.<br/><br/>You will operate at the intersection of hardware engineering, capacity planning, and global supply chain operations — defining "what" and "why" before the "how." You'll be expected to identify novel problems, develop scalable solutions, and raise the bar for how AWS manages materials at<br/>unprecedented global scale.<br/><br/>Key job responsibilities<br/>• Own end-to-end inventory management strategy across multiple product families and global<br/>regions, balancing customer experience, cost optimization, and operational efficiency<br/><br/>• Design and implement new supply chain frameworks, processes, and best practices that scale across the AWS Infrastructure organization<br/><br/>• Build advanced analytics solutions, dashboards, and decision-support tools that drive strategic<br/>resource prioritization and executive-level visibility<br/><br/>• Influence senior leadership through data-driven recommendations, clearly articulating trade-offs<br/>and strategic implications<br/><br/>• Lead complex, cross-functional initiatives spanning engineering, capacity planning, procurement, and operations — driving alignment across organizations with competing priorities<br/><br/>• Identify and solve novel supply chain problems with no established playbook, developing<br/>repeatable methodologies that others adopt<br/><br/>• Define and execute strategic supply schedules, proactively communicating risks, priorities, and<br/>status to VP-level stakeholders and external partners<br/><br/>• Mentor and develop team members, raising the bar on analytical rigor and strategic thinking<br/>across the supply chain organization<br/><br/>About the team<br/>Diverse Experiences <br/><br/>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. <br/><br/>Why AWS<br/>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.<br/><br/><br/>Work/Life Balance<br/>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.<br/><br/>Inclusive Team Culture<br/>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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br/><br/>Mentorship and Career Growth<br/>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.

The AWS Activate Program provides startups the resources they need to grow successfully on AWS. We do this by understanding the uniqueness of each and every startup that applies for Activate, and then personalizing the resources we make available to them. Our resources include (but are not limited to) AWS service credits, Business Support credits, technical education and training, opportunities for business and technical mentorship from Amazonians and startup peers, and personalized growth benefits. Above all else, Activate’s goal is to level the playing field for startup founders anywhere and everywhere. We believe that great ideas come from all types of founders, from all walks of life; not only those that have the good fortune of a venture investment. AWS Activate welcomes all startup builders with open arms, and we’ll do our best to guide you through your journey, providing you with the relevant guidance, education and resources along the way. <br/><br/>The AWS Activate team is looking for an who wants to change the way we help Startups get started in AWS. We are obsessed with building tools and applications Startups need to be successful at AWS. We strive to bring new tools, features, and innovations to the Startup community. We are building applications that will use modern architectures, new services patterns, and exciting technologies to ensure we are meeting our customers expectations for performance, availability, and features. We value diversity in backgrounds and believe writing is a learning process and that innovation is driven by learners, not knowers. As we deliver for our customer, we strongly encourage work-life balance; as well as, personal and professional growth. <br/><br/>We are looking for motivated and skilled developers with the drive and enthusiasm to build ground-up applications for startups. Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings and we host ongoing learning experiences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a well-rounded engineer and enable them to take on more complex tasks in the future. Our team puts a high value on work-live harmony. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.<br/><br/> The Startup ACE (Acquisition & Customer Experience) team is responsible for the AWS Activate Program, the largest credit program at AWS, having offered over $6B in AWS Promotional Credits to acquire, nurture, and grow over 280,000 startups<br/> since the program's launch in 2013. ACE owns Startups.AWS (SAWS) — the single web destination where startup customers can explore AWS's technical and business-focused content, apply for Activate credits, and access the full suite of program<br/> benefits. Through SAWS, startups apply directly for credit packages ranging from $1K for bootstrapped founders up to $200K for Series A-funded startups, with step-by-step application guidance and status tracking. Once onboarded, the Activate<br/> Console provides startups with a personalized experience powered by custom ML recommendation algorithms that match relevant content — including learning resources, events, AWS service recommendations, training, and cost optimization<br/> opportunities — to each startup's profile based on their industry, product type, funding stage, tech interests, and AWS service usage. The Cost & Credit Hub within the Console gives startups visibility into their credit balance, expiration<br/> dates, expected exhaustion date, spend and burn rate, and personalized cost-saving recommendations sourced from Cost Explorer and Trusted Advisor, helping startups extend the longevity of their credits and optimize spend. Beyond credits,<br/> SAWS enables startups to access technical support, exclusive offers and deals on third-party business tools, personalized guidance including marketing support and discounted advertising<br/> services, and go-to-market support. <br/><br/> On the internal side, ACE owns the Activate Admin Console, which serves as the centralized hub for internal stakeholders — providing the tools, workflows, and Machine Learning necessary to support the startup<br/> customer journey. The Admin Console enables BDMs, Account Managers, and Operations associates to vet and approve credit applications (with BD-managed and Provider-led approval paths), manage Provider campaigns and Organization IDs for over 4K partner Accelerators, Incubators, and VC firms globally, process credit issuances and modifications, and create content for the Recommendation Feed. The team provides fraud prevention through containment score (C-Score) checks and TRMS<br/> investigations, financial protection by enforcing a $200K lifetime credit maximum and incremental top-up calculations, automated customer notifications for credit activities, onboarding emails, and nurture<br/> communications with BDM/AM copies. The application processing workflows that maintain a 3–5 business day SLA for review and approval, keeping both the externally facing Startups.AWS experience and the internal operations running at<br/> global scale.<br/><br/>Inclusive Team Culture<br/>Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.<br/><br/>Mentorship & Career Growth<br/>Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews.<br/>We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.<br/><br/>Work Life Balance<br/>Our team puts a high value on work-live harmony. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.<br/>

Amazon Web Services (AWS) is seeking a Finance Manager to be a key member of the AWS GenAI team. This role will own end to end finance support including OpEx management and planning/deep dives for Generative AI services. Additionally, this role will drive strategic new Generative AI feature launches and process improvements across the organization. The successful candidate will be able to communicate effectively, manage multiple and time sensitive deliverables across a highly matrixed organization, along with managing risks and opportunities. The individual will also possess strong business partnership skills and collaborate effectively with key stakeholders.<br/><br/>Key job responsibilities<br/>- Take the lead in financial planning; build complex financial models and analytical tools to measure overall financial performance<br/>- Owning the GenAI services end to end, and influence business decisions that drive revenue and/or capital expenditures<br/>- Identify opportunities for efficiency improvements including automation and coordination with upstream and downstream organizations.<br/>- Partner with finance teams across AWS to standardize, streamline, and prioritize improvements, remove roadblocks, and increase the reliability and efficiency of reporting.

Join our team as a Senior Financial Analyst at AWS where you'll drive business impact by diving deep into data to identify opportunities for optimizing internal usage of precious capacity resources. You'll partner with business leaders to uncover insights that change the trajectory of AWS through process simplification and efficiency identification. In this role, you'll analyze complex datasets, deliver actionable recommendations, and implement mechanisms that enable the business to make data-driven decisions with immediate impact.<br/><br/>This position offers an exciting opportunity to make a broad impact in a fast-paced environment where your analytical insights directly influence business outcomes. The ideal candidate thrives on transforming complex data into clear business insights and has a passion for process improvement and optimization.<br/><br/>Key job responsibilities<br/>- Dive deep into data across AWS to identify opportunities for optimizing internal usage of capacity resources, providing actionable insights that directly impact business performance<br/>- Develop and maintain financial models and reporting that incorporate value and investment levers, supporting senior leadership in making informed decisions<br/>- Proactively identify process improvement opportunities, implementing solutions that enhance efficiency and accuracy in financial reporting<br/>- Partner with business leaders to translate complex data analysis into clear, actionable recommendations that drive measurable business outcomes<br/>- Build and maintain financial tools, standard operating procedures, and process documentation to facilitate knowledge sharing and scale benefits across the organization<br/><br/>A day in the life<br/>Your typical day involves diving deep into complex datasets to uncover insights about Containers and Serverless Finance. You'll collaborate with business leaders to identify efficiency opportunities, analyzing trends and developing recommendations to optimize resource allocation. You'll participate in cross-functional meetings to present your findings, work on building or enhancing financial models, and partner with stakeholders to implement solutions that drive immediate business impact.<br/><br/>About the team<br/>We are a dedicated team of finance analysts who believe in being greater than the sum of our parts. Our mission is to business partner that can help business partners make the right finance decisions. We focus on making broad, immediate impacts on the business through data-driven insights and recommendations. We value collaboration, intellectual curiosity, and the ability to transform complex data into actionable business strategies that drive meaningful results.

Do you want to build the backbone of Generative AI at AWS? Do you want to build the future of the cloud for AI training and inference, delivering continuous price performance improvements for multi-billion variable LLMs at cloud scale? Come join us. We are seeking a Systems Development Engineer to develop automation software, diagnostic tooling, and fleet health infrastructure for our accelerated (AI/ML) server platforms. You will work across multiple teams and organizations to build scalable, reliable systems that keep our fleet healthy — with a vision toward zero-touch operations where automation detects, diagnoses, and resolves issues without human intervention.<br/><br/>What You Will Do<br/>You will solve complex architectural problems that may not be well-defined in advance. You will own your team's systems, proactively identify deficiencies, and write scalable, robust code to solve issues before they impact customers. You will decompose large, difficult server testability, reliability, and diagnosis problems into straightforward tasks and components — delivering yourself and through others in parallel — using a combination of hardware, software, system design, processor architecture, diagnostics, and operations knowledge.<br/><br/>Key job responsibilities<br/>Fleet Health & Predictive Infrastructure<br/><br/>1. Build and own the automation infrastructure responsible for the health of the accelerator (AI/ML) compute server fleet<br/>2. Design and implement predictive failure detection systems using telemetry, sensor data, error trending, and log correlation to identify hardware issues before they cause customer impact<br/>3. Drive toward zero-touch operations — building automation that detects, diagnoses, triages, and remediates hardware and software faults without human intervention<br/>4. Develop monitoring tools, dashboards, and alerting systems to provide real-time visibility into fleet health across lab and production environments<br/>5. Define and track fleet health metrics (failure rates, mean time to detect, mean time to repair, first-time fix rate, predictive accuracy)<br/><br/>Debugging & Troubleshooting<br/><br/>1. Debug and resolve complex system-level issues across compute, GPU, and networking in production environments<br/>2. Troubleshoot Linux boot and runtime failures across x86 and ARM architectures, including PCIe, power, NIC, NVMe, and GPU subsystems<br/>3. Perform root cause analysis on hardware failures — correlating across firmware, kernel, driver, and physical layer to isolate faults<br/>4. Build diagnostic tooling that automates root cause identification and reduces reliance on manual triage<br/>5. Improve manufacturing throughput and yield through test optimization<br/><br/>Systems Development & Automation<br/><br/>1. Define and develop software, automation, and enabling tools for server hardware programs; track and report progress<br/>2. Design and build scalable system-level software with focus on durability, availability, security, and diagnostics<br/>3. Develop and maintain device drivers for Linux on ARM and x86 architectures<br/>4. Build automation solutions using modern programming languages (Python, Ruby, Java, C/C++, etc.)<br/>5. Work with OS internals and accelerator/GPU software stacks in Linux-based environments<br/>6. Build, manage, and deploy CI/CD pipelines for rapid deployment of code changes to org-owned and customer-owned systems<br/><br/>Cross-Team Collaboration<br/><br/>1. Work across internal HWEng teams to ensure new server hardware addresses data path and control path functionality needed by dependent service teams<br/>2. Work closely with internal customers to identify early any potential problems onboarding new accelerated compute servers into their ecosystem<br/>3. Engage with ODMs and design partners on testability, diagnostic, and automation requirements during hardware design and development (NPI)<br/>4. Contribute to server design to improve robustness, testability, diagnosability, and reliability<br/>5. Partner with datacenter operations teams to close the loop between field failures and design improvements<br/><br/>A day in the life<br/>You will collaborate with a variety of roles (SDEs, SDETs, Mechanical/Electrical/Hardware Engineers, TPMs, Managers, Principals) and organizations through server conception, test validation, qualification, launch, and operations — driving high quality and reliability into current and future designs for AWS accelerated server solutions. From orchestration tooling development to hardware integration to kernel driver debugging, you dive deep into problems across the breadth of AWS.<br/><br/>About the team<br/>The Hardware Engineering AI/ML development team is a group of engineers and technical program managers directly responsible for launching and maintaining server hardware in the fleet — including AI/ML accelerator servers with GPUs. Located in Seattle, Cupertino, and Austin, we work with internal development teams, ODMs, and design partners to deliver servers deployed in datacenters worldwide.

We are looking for a Software Development Engineer to join the AWS Identity team. In this role, you will design, build, and operate distributed systems that handle authentication and authorization decisions at scale. You will work on challenging problems at the intersection of security, distributed systems, and customer experience — ensuring that AWS customers can securely and seamlessly manage access to their resources.<br/><br/>Key job responsibilities<br/>• Design and implement core identity infrastructure components including control plane APIs, data plane execution environments, and deployment orchestration systems<br/>• Design and implement scalable, highly available services that process millions of requests per second<br/>• Develop monitoring, observability, and operational tooling to ensure production reliability and enable rapid incident response<br/>• Contribute to technical strategy and architecture decisions for session management, identity/permissions, cross-account access, and security integrations<br/>• Mentor junior engineers and drive engineering excellence through code reviews, design reviews, and operational best practices<br/><br/><br/>Preferred qualifications<br/><br/>- 3+ years of non-internship professional software development experience<br/>- 3+ years of programming with at least one software programming language experience<br/>- 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience<br/>- Experience as a mentor, tech lead or leading an engineering team<br/><br/>- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience<br/>- Bachelor's degree in computer science or equivalent<br/><br/>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.<br/><br/>

We are looking for a Software Development Engineer to join the AWS Identity team. In this role, you will design, build, and operate distributed systems that handle authentication and authorization decisions at scale. You will work on challenging problems at the intersection of security, distributed systems, and customer experience — ensuring that AWS customers can securely and seamlessly manage access to their resources.<br/><br/>Key job responsibilities<br/>• Design and implement core identity infrastructure components including control plane APIs, data plane execution environments, and deployment orchestration systems<br/>• Design and implement scalable, highly available services that process millions of requests per second<br/>• Develop monitoring, observability, and operational tooling to ensure production reliability and enable rapid incident response<br/>• Contribute to technical strategy and architecture decisions for session management, identity/permissions, cross-account access, and security integrations<br/>• Mentor junior engineers and drive engineering excellence through code reviews, design reviews, and operational best practices<br/><br/><br/><br/>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.<br/><br/>

We are looking for a Software Development Engineer to join the AWS Identity team. In this role, you will design, build, and operate distributed systems that handle authentication and authorization decisions at scale. You will work on challenging problems at the intersection of security, distributed systems, and customer experience — ensuring that AWS customers can securely and seamlessly manage access to their resources.<br/><br/>Key job responsibilities<br/>• Design and implement core identity infrastructure components including control plane APIs, data plane execution environments, and deployment orchestration systems<br/>• Design and implement scalable, highly available services that process millions of requests per second<br/>• Develop monitoring, observability, and operational tooling to ensure production reliability and enable rapid incident response<br/>• Contribute to technical strategy and architecture decisions for session management, identity/permissions, cross-account access, and security integrations<br/>• Mentor junior engineers and drive engineering excellence through code reviews, design reviews, and operational best practices<br/><br/><br/><br/>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.<br/><br/>

We are looking for a Software Development Engineer to join the AWS Identity team. In this role, you will design, build, and operate distributed systems that handle authentication and authorization decisions at scale. You will work on challenging problems at the intersection of security, distributed systems, and customer experience — ensuring that AWS customers can securely and seamlessly manage access to their resources.<br/><br/>Key job responsibilities<br/>• Design and implement core identity infrastructure components including control plane APIs, data plane execution environments, and deployment orchestration systems<br/>• Design and implement scalable, highly available services that process millions of requests per second<br/>• Develop monitoring, observability, and operational tooling to ensure production reliability and enable rapid incident response<br/>• Contribute to technical strategy and architecture decisions for session management, identity/permissions, cross-account access, and security integrations<br/>• Mentor junior engineers and drive engineering excellence through code reviews, design reviews, and operational best practices<br/><br/><br/>Preferred qualifications<br/><br/>- 3+ years of non-internship professional software development experience<br/>- 3+ years of programming with at least one software programming language experience<br/>- 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience<br/>- Experience as a mentor, tech lead or leading an engineering team<br/><br/>- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience<br/>- Bachelor's degree in computer science or equivalent<br/><br/>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.<br/><br/>

We are looking for a Software Development Engineer to join the AWS Identity team. In this role, you will design, build, and operate distributed systems that handle authentication and authorization decisions at scale. You will work on challenging problems at the intersection of security, distributed systems, and customer experience — ensuring that AWS customers can securely and seamlessly manage access to their resources.<br/><br/>Key job responsibilities<br/>• Design and implement core identity infrastructure components including control plane APIs, data plane execution environments, and deployment orchestration systems<br/>• Design and implement scalable, highly available services that process millions of requests per second<br/>• Develop monitoring, observability, and operational tooling to ensure production reliability and enable rapid incident response<br/>• Contribute to technical strategy and architecture decisions for session management, identity/permissions, cross-account access, and security integrations<br/>• Mentor junior engineers and drive engineering excellence through code reviews, design reviews, and operational best practices<br/><br/><br/>Preferred qualifications<br/><br/>- 3+ years of non-internship professional software development experience<br/>- 3+ years of programming with at least one software programming language experience<br/>- 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience<br/>- Experience as a mentor, tech lead or leading an engineering team<br/><br/>- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience<br/>- Bachelor's degree in computer science or equivalent<br/><br/>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.<br/><br/>

AI agents are opening up a new way to build on the cloud. Developers can describe what they want and watch an agent stand it up. This role works on enabling the next generation of agentic development in the cloud, making AWS where developers and their agents love to build.<br/><br/>We are looking for a Developer Experience Engineer to shape what great agent-driven development looks like on AWS. You will build with agents across AWS services, find the friction, and turn what you learn into content, guidance, and feedback that makes the experience better. You will partner with service teams to advocate for changes and produce the technical resources developers and their agents rely on.<br/><br/><br/>A day in the life<br/>No two days look the same, but most weeks you will spend real time building. You will use agents to build on AWS and go deep on the experience. You will document what works, what breaks, and what's missing. You will turn those findings into blog posts, sample code, tutorials, and feedback to product teams. You will collaborate with other developer advocates and engineers across the org to raise the bar on agentic content and standards.<br/><br/>About the team<br/>This role will join the AWS Developer Experience organization, where our goal is to win the hearts and minds of developers around the world, by meeting them where they are and providing the right technical education, tools, and resources to enable developer success.<br/>Why AWS?<br/>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.<br/> <br/>Inclusive Team Culture<br/>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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br/> <br/>Mentorship & Career Growth<br/>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. <br/> <br/>Work/Life Balance<br/>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.

As part of the AWS Applied AI Solutions organization, we're building the future of AI-powered enterprise services across multiple domains. Our vision is to be the trusted foundation for transforming every business with Amazon AI teammates. Our mission is to deliver turnkey, enterprise-grade foundational AI capabilities that create delightful AI powered solutions. We're developing sophisticated AI systems that address complex challenges across autonomous operations, geospatial intelligence, trust and safety, IoT services, and foundational AI platforms.<br/><br/>Key job responsibilities<br/>- Develop and productize AI solutions that address complex technical challenges requiring novel approaches beyond off-the-shelf tools<br/>- Design and implement machine learning systems for diverse applications including video understanding, geospatial optimization, fraud detection, anomaly detection, and automation<br/>- Create scalable algorithms and models that generalize across multiple customer use cases and business problems<br/>- Conduct rigorous experimentation with state-of-the-art techniques including large language models, computer vision, federated learning, or physics-based modeling, and agentic AI systems<br/>- Collaborate with engineering teams to integrate science components into production systems with measurable customer impact<br/>- Work directly with product teams to understand requirements, frame ambiguous problems into tractable science solutions, and validate approaches through proof of concepts<br/>- Establish evaluation frameworks and best practices for measuring solution performance and business impact<br/>- Mentor other scientists and contribute to the broader scientific community through publications when appropriate<br/><br/>A day in the life<br/>As an Applied Scientist, you'll work on challenging problems that span multiple domains within AWS Core Services. You might develop video processing architectures for autonomous systems, create optimization solvers for geospatial applications, build behavioral detection models for fraud prevention, design anomaly detection systems for IoT devices, or develop specialized AI capabilities for platform services. You'll investigate novel approaches, validate ideas through rigorous experimentation with real data, and collaborate with scientists and engineers to transform research insights into scalable solutions.<br/><br/>About the team<br/>Our team is a central science organization supporting multiple product teams across AWS Core Services. We tackle fundamental challenges in AI and machine learning that require novel approaches beyond off-the-shelf solutions. Working at the intersection of machine learning, large language models, and domain-specific applications, we develop practical techniques that advance the state-of-the-art while maintaining a clear path to customer impact. Our team builds deep domain expertise across geospatial intelligence, trust and safety systems, autonomous operations, and other critical areas, collaborating closely with engineering teams to transform research insights into scalable production solutions.

Serverless Compute (https://aws.amazon.com/serverless/?nc2=type_a) is changing the way we think about computing in the cloud. Serverless computing offers customers an exciting new way to create applications, turn business logic and application code into scalable, fault-tolerant production systems without requiring them to be experts in distributed systems, deployment technologies, and infrastructure management. AWS offers technologies for running code, managing data, and integrating applications, all without managing servers.<br/><br/>In this role you will work with team to build the new generic platform by using latest AWS technologies. You will solve interesting technical challenges with creative ideas in the domain combined by event driven application and Serverless technologies. You will build features for the distributed and large-scale system which will handle billions or trillions transactions. You have opportunities to re-shape the experience of Serverless development.

Serverless technologies are dramatically changing the business landscape for AWS customers large and small. AWS Lambda launched the serverless movement and is at the heart of AWS’s serverless portfolio enabling customers to run everything from Alexa commands to massively scaled services driving Fortune 100 companies.<br/><br/>AWS Lambda's data plane team is looking for software engineer who wants to work on a global scale service with a collaborative team. We will work together to grow the Lambda service tenfold and provide increasingly secure, performant, and observable serverless technology. A successful team member will exhibit creativity, empathy, and optimism as we push the boundaries of serverless computing in the cloud. We are inspired by what has come before and motivated to create what comes next.<br/><br/>You’ll thrive in this role if you are interested in large scale, fault-tolerant distributed systems, low latency request processing, and p100 anomalies. You are capable in one or more programming languages and open to learning new ones. You include customer experience when discussing engineering alternatives and value creating APIs that make "The right thing, the easy thing." You value operational sustainability and advocate for eliminating flaky tests as soon as possible. You also think having fun goes together with tackling hard problems like supercomputing, high availability, and building loosely coupled gRPC-based microservices all while continuing to securely and reliably handling massive traffic with millisecond latency.

AWS Lambda, the pioneering serverless compute service, is a mature yet innovative offering experiencing continuous rapid growth. Having become a critical compute infrastructure and the default choice for a wide range of applications, Lambda is now unlocking new possibilities, making this an exciting time to join the team.<br/><br/>As an Engineering Manager, you'll lead a team of engineers who are building the foundational systems that power Lambda's Data Plane. You'll be responsible for services that enable applications to scale from zero to millions of requests instantly, without provisioning any infrastructure - representing the forefront of cloud computing technology.<br/><br/>Your team's mission is to make Lambda a highly dependable service that consistently delivers exceptional availability and performance. Additionally, you'll drive innovation to extend Lambda's capabilities to new use cases, empowering developers to build serverless applications with ease.<br/><br/>In this role, you'll lead a team of exceptional engineers, providing technical guidance, mentorship, and inspiring them to push the boundaries of serverless computing. You'll collaborate with cross-functional teams, drive architectural decisions, and ensure the delivery of high-quality, scalable, and fault-tolerant systems that meet the ever-growing demands of Lambda's global customer base.<br/><br/>If you're ready to be part of the team that's revolutionizing serverless computing and building the invisible infrastructure that powers AWS Lambda, this is the opportunity for you.<br/><br/>Key job responsibilities<br/>• Lead and mentor a team of skilled software engineers, inspiring innovation in serverless computing.<br/>• Architect and develop core systems powering AWS Lambda's serverless auto-scaling capabilities, ensuring scalability, fault-tolerance, and high performance.<br/>• Collaborate cross-functionally to align technical roadmaps and deliver customer-centric solutions.<br/>• Stay ahead of emerging technologies and industry trends, driving adoption of new practices to enhance Lambda.<br/>• Represent the team in technical discussions, advocating for priorities and solutions.<br/>• Foster a culture of innovation, continuous learning, and knowledge sharing within the team.<br/>• Manage recruitment, hiring, and onboarding of talented software engineers to achieve team goals.<br/><br/>A day in the life<br/>As an Engineering Manager, your primary focus will be driving innovation and technical excellence for AWS Lambda - the pioneering serverless computing platform:<br/><br/>• Mentor a team of software engineers, fostering continuous learning and knowledge sharing through stand-ups, code reviews, and one-on-ones. Inspire them to push boundaries and embrace failure as a learning opportunity.<br/><br/>• Architect and develop core systems powering Lambda's Data Plane, ensuring scalability, fault-tolerance, and high performance to handle massive traffic spikes seamlessly. Optimize service utilization and economics, improving resource efficiency while maintaining high availability and low latency.<br/><br/>• Collaborate cross-functionally with product managers, architects, and engineering teams to align on technical roadmaps and deliver customer-centric solutions. Stay ahead of emerging technologies and drive the adoption of new practices to enhance Lambda.<br/><br/>Your internal stakeholders include engineering teams, product managers, and Lambda leadership, while your customers are developers and businesses worldwide relying on Lambda. Your mission? Ensuring a "boringly trustworthy" service that empowers them to focus on business logic without worrying about infrastructure or operations. <br/><br/>About the team<br/>Utility Computing (UC)<br/><br/>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 customers who require specialized security solutions for their cloud services.<br/><br/>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.<br/><br/>Diverse Experiences<br/><br/>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.<br/><br/>About AWS<br/><br/>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.<br/><br/>Inclusive Team Culture<br/><br/>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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br/><br/>Work/Life Balance<br/><br/>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.<br/><br/>Mentorship & Career Growth<br/><br/>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.

AI agents are opening up a whole new way to build on the cloud. Developers can describe what they want and watch an agent stand it up. This role works on enabling the next generation of agentic development in the cloud, making AWS where developers and their agents love to build.<br/><br/>We are looking for a Senior Developer Experience Engineer to define and drive what great agent-driven development looks like on AWS. You will decide where to focus across the portfolio, build hands-on to validate the experience, and turn what you learn into content, standards, and product feedback that service teams act on. You will lead projects end-to-end, mentor other engineers on the team, and influence product direction through the quality of your work and the clarity of your recommendations.<br/><br/>Key job responsibilities<br/>- Define where to focus across the AWS portfolio for agent-driven development improvements<br/> <br/>- Build hands-on with AI agents to validate the experience and identify the highest-impact gaps<br/> <br/>- Produce content, standards, and guidance that developers and their agents rely on<br/> <br/>- Work directly with service and product teams to drive changes that make their services easier to build with<br/> <br/>- Lead projects end-to-end, from scoping the problem through shipping the fix or content<br/> <br/>- Mentor other engineers on the team and raise the quality bar across the org<br/><br/>About the team<br/>This role will join the AWS Developer Experience organization, where our goal is to win the hearts and minds of developers around the world, by meeting them where they are and providing the right technical education, tools, and resources to enable developer success.<br/>Why AWS?<br/>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.<br/> <br/>Inclusive Team Culture<br/>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 (gender diversity) conferences, inspire us to never stop embracing our uniqueness.<br/> <br/>Mentorship & Career Growth<br/>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. <br/> <br/>Work/Life Balance<br/>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.

Serverless technologies are dramatically changing the business landscape for AWS customers large and small. AWS Lambda launched the serverless movement and is at the heart of AWS’s serverless portfolio enabling customers to run everything from Alexa commands to massively scaled services driving Fortune 100 companies.<br/><br/>AWS Lambda's data plane team is looking for software engineer who wants to work on a global scale service with a collaborative team. We will work together to grow the Lambda service tenfold and provide increasingly secure, performant, and observable serverless technology. A successful team member will exhibit creativity, empathy, and optimism as we push the boundaries of serverless computing in the cloud. We are inspired by what has come before and motivated to create what comes next.<br/><br/>You’ll thrive in this role if you are interested in large scale, fault-tolerant distributed systems, low latency request processing, and p100 anomalies. You are capable in one or more programming languages and open to learning new ones. You include customer experience when discussing engineering alternatives and value creating APIs that make "The right thing, the easy thing." You value operational sustainability and advocate for eliminating flaky tests as soon as possible. You also think having fun goes together with tackling hard problems like supercomputing, high availability, and building loosely coupled gRPC-based microservices all while continuing to securely and reliably handling massive traffic with millisecond latency.