Aws Jobs in Seattle, USA

AWS Insights & Optimization is looking for an Applied Scientist to help develop sophisticated algorithms and models that involve analyzing and learning from over 540 billion customer cost, usage, and utilization events daily. We use this data to power cost anomaly detection, cost forecasting, rightsizing recommendations across seven compute services, Savings Plans optimization, and AI-powered conversational experiences that help customers understand and optimize their AWS spend. Our team's vision is to be the world's provider of intelligent AWS cloud financial management, where customers can understand, control, and optimize usage of AWS products. We sit at the nexus of all AWS services and interact directly with end-customers, building relationships with teams across AWS to ensure we offer a secure and reliable experience that builds trust and provides intelligent insights.<br/><br/>As a successful Applied Scientist in AWS Insights & Optimization, you will own models end-to-end — from problem formulation through experimentation to production deployment. Your work may span cost anomaly detection (decomposition, detection, and root cause attribution), time-series forecasting with a focus on accuracy and consistency, rightsizing engines for EC2, EBS, Lambda, ECS, RDS, and Aurora, LLM evaluation science for AI-powered agent experiences, or agent memory architectures that enable persistent, adaptive behavior across sessions. You will work closely with applied scientists, software engineers, and product teams to enhance existing models and build new ones that solve challenging customer problems. You will drive implementation of proposed models, establish testing strategies to validate them before and after production, and define evaluation metrics that determine whether capabilities meet the quality bar. We value accuracy over speed, measurability over intuition, and simplicity over complexity — the simplest model that meets the bar wins. You are an analytical problem solver who enjoys diving into data, are excited about investigating and developing algorithms, and can influence technical teams and business stakeholders to solve real-world customer problems.

Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty.<br/><br/>Key job responsibilities<br/>The successful candidate will:<br/><br/>- Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation.<br/>- Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact.<br/>- Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience.<br/>- Develop strategic plans to identify fundamentally new solutions for business problems.<br/>- Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues.<br/><br/>A day in the life<br/>This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact.<br/><br/>About the team<br/>Diverse Experiences Amazon Automated Reasoning 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 Amazon Automated Reasoning?<br/><br/>At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.<br/><br/>Inclusive Team Culture<br/><br/>In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.<br/><br/>Training & 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.<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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.<br/>

Come join the AWS Agentic AI science team in building the next generation models for intelligent automation.<br/><br/>AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.<br/><br/>We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.<br/><br/>* Define and implement new automated reasoning features that employ scalable and efficient approaches to solve complex problems using neural learning and symbolic/formal reasoning<br/>* Apply software engineering best practices to ensure a high standard of quality for all team deliverables<br/>* Work in an agile, startup-like development environment<br/>* Deliver high-quality scientific artifacts<br/>* Work with the team to help drive business decisions<br/><br/>About the team<br/>Why AWS? <br/>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 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.

Are you ready to make an impact by optimizing AWS Cloud Usage efficiencies through internal pricing decisions? As a Finance Manager on the AWS Internal Rates team, you will play a crucial role in managing complex processes cross functionally to set internal pricing and forecast internal usage of AWS Cloud products. This position offers an exciting opportunity to partner with stakeholders across Amazon and AWS to maximize cloud cost efficiency and enhance Amazon's long-term free cash flow.<br/><br/>In this role, you'll lead cross-functional processes, conducting data deep dives to inform critical pricing decisions. Your analytical expertise will be instrumental in developing structured pricing frameworks, while your strong communication skills will enable effective stakeholder management across multiple business units. If you thrive on solving complex problems through collaborative partnerships and data-driven insights, this role presents an exceptional opportunity to help shape financial strategy across AWS and Amazon.<br/><br/>Key job responsibilities<br/>- Partner with stakeholders across Amazon and AWS to establish and maintain internal pricing structures that is sound and cost driven.<br/>- Lead cross-functional processes to identify opportunities for cost optimization, developing analytical frameworks that deliver actionable insights and recommendations to senior leadership.<br/>- Analyze complex datasets to develop financial models that accurately forecast the impact of internal pricing decisions on P&Ls.<br/>- Identify trends, anomalies, and opportunities for process improvement, creating scalable and auditable data analysis processes.<br/>- Good understanding of AWS Services and cost drivers.<br/>- Collaborate with Fintech and Finance teams to automate existing manual process at scale.<br/>- Collaborate with forecasting data science teams and Finance to improve cloud usage forecasting processes. <br/><br/>About the team<br/>The AWS Internal Rates team sits at the intersection of finance and cloud technology, managing the complex process of setting internal pricing across AWS cloud services. Our mission is to ensure these rates aligns to underlying cost and also drive optimal internal usage behavior that maximizes cost efficiency and enhances Amazon's long-term free cash flow. <br/><br/>Our team works collaboratively to develop sophisticated pricing frameworks that balance operational needs with financial objectives. We partner closely with stakeholders throughout Amazon and AWS to understand service requirements, usage patterns, and financial implications of our decisions. As we continue to evolve our approach to internal pricing, we're looking for analytical minds who can help us create innovative solutions to increasingly complex challenges.

Want to stop fraudsters and make a direct multi-million dollar impact to Amazon's bottom line? Come join the AWS Payments & Fraud Prevention team as a Senior Product Manager - Tech, where you will own the evolution of AWS's trust scoring mechanisms and real-time risk evaluation platform.<br/><br/>We are seeking a product leader who will own the strategy and evolution of how AWS evaluates customer trust — defining what signals matter, how risk is scored, and how those scores translate into real-time decisions that protect AWS and its customers from fraud and abuse. You will drive the next generation of AWS's trust scoring mechanisms, expanding coverage, improving accuracy, and ensuring scores remain actionable as fraud patterns evolve. You will also define how real-time risk evaluation scales across AWS services, so that fraud prevention keeps pace with the growth of AI and emerging product surfaces. The ideal candidate brings deep experience building and evolving risk or trust scoring products, a strong instinct for translating ambiguous fraud signals into durable product mechanisms, and a track record of driving product strategy at scale.<br/><br/><br/><br/>Key job responsibilities<br/>Trust Scoring Evolution: Own the product roadmap for AWS's next-generation trust scoring system. Define how customer risk is modeled across account lifecycle signals — registration behavior, payment history, usage patterns, organizational relationships, and network signals. Drive continuous improvement in score accuracy, coverage, and freshness to ensure enforcement decisions are precise and durable.<br/><br/>Real-Time Risk Evaluation: Define how real-time risk signals are evaluated and acted upon across AWS services. Drive the strategy for expanding risk evaluation coverage to new product surfaces — including compute and AI services — ensuring that fraud and abuse are detected and contained before they generate significant impact. Partner with data science and engineering to improve signal quality, reduce latency, and increase the precision of enforcement recommendations.<br/><br/>Compute & AI Abuse Detection: Build the risk evaluation capabilities needed to detect and contain abuse of AWS compute and AI resources. Define how usage and behavioral signals are evaluated against customer risk profiles to identify anomalous activity early. Partner with data science and engineering to improve detection precision and reduce time-to-enforce.<br/><br/>Cross-Functional Leadership: Partner with AWS service teams, Identity, Finance, Legal, Engineering, and Science to align on fraud prevention strategy and drive execution. Influence without authority across engineering, science, and product organizations. Represent trust scoring and risk evaluation in executive-level reviews.<br/>

Do you have proven analytical capabilities to identify business opportunities, develop predictive models and optimization algorithms to help us build state of the art Support organization? <br/> <br/>At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. We set big goals and are looking for people who can help us reach and exceed them. Amazon Web Services (AWS) is one of the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Amazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management.<br/> <br/>AWS Support's Capacity Planning team is looking for a strong, talented Data Scientist to model contact and volume forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and combinatorial optimization problems to drive business and operational improvements. You are passionate about building solutions that will help drive a more efficient operations network and optimize cost. In this role, you will partner with data engineering, tooling team, operations, training, workforce management and finance teams, driving optimization and prediction solutions across the network influencing the long-term strategy of the business. <br/> <br/>We are looking for an experienced and motivated Data Scientist with proven abilities to build and manage modeling projects, forecasting solutions, identify data requirements, build methodology and tools that are statistically grounded. You are an expert in the areas of data science, forecasting, optimization, machine learning and statistics, and is comfortable facilitating ideation and working from concept through execution. You are customer obsessed, innovative, independent, results-oriented and enjoys working in a fast-paced growing organization. An interest in operations, process improvement is helpful. The ability to embrace this ambiguity and work with a highly distributed team of experts is critical. While this is a small team, there is opportunity to own globally impactful work and grow your career in technical, programmatic or people leadership. You will likely to work in Python or R, building forecasting, predictive and optimization models. Your problem solving ability, knowledge of data models and ability to drive results through ambiguity are more important to us.<br/> <br/><br/>About the team<br/>About Us<br/>Diverse Experiences<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/>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 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. <br/><br/>

Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty.<br/><br/>Key job responsibilities<br/>The successful candidate will:<br/><br/>- Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation.<br/>- Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact.<br/>- Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience.<br/>- Develop strategic plans to identify fundamentally new solutions for business problems.<br/>- Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues.<br/><br/>A day in the life<br/>This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact.<br/><br/>About the team<br/>Diverse Experiences Amazon Automated Reasoning 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 Amazon Automated Reasoning?<br/><br/>At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.<br/><br/>Inclusive Team Culture<br/><br/>In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.<br/><br/>Training & 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.<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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.<br/>

AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. <br/><br/>AWS Infrastructure Supply Chain & Procurement within the larger AIS organization works to deliver solutions to source, build and maintain our socially responsible data center supply chains. We are a team of highly-motivated, engaged, and responsive professionals who enable the core sustainable infrastructure of AWS. <br/><br/>The Strategic Sourcing Software Manager at AWS leads the development and execution of software acquisition strategies for our Hardware and Networking divisions. This role combines strategic sourcing expertise with deep understanding of software ecosystems and CPU/GPU technologies to secure critical software solutions that power AWS's infrastructure. You'll work across engineering teams, legal, and vendors to optimize our software portfolio while ensuring competitive advantage in the rapidly evolving cloud computing landscape.<br/><br/><br/>Key job responsibilities<br/>• Develop and execute comprehensive software sourcing strategies aligned with AWS's technical roadmap <br/>• Lead complex negotiations for software agreements and licenses across multiple vendors <br/>• Build and maintain strategic relationships with key software partners and internal stakeholders <br/>• Collaborate with engineering teams to understand technical requirements and evaluate solutions <br/>• Analyze spend data and market trends to identify cost optimization opportunities <br/>• Drive process improvements in software acquisition and lifecycle management <br/>• Ensure compliance with legal requirements and internal policies <br/>• Manage cross-functional programs with significant business impact<br/>• Analyze spend data and market trends to identify cost optimization opportunities <br/>• Drive process improvements in software acquisition and lifecycle management <br/>• Ensure compliance with legal requirements and internal policies <br/>• Manage cross-functional programs with significant business impact<br/><br/><br/>A day in the life<br/>You will be working closely with several business partners to manage the Semiconductor business on a day to day basis, but will be heavily focused on mid and long-term technology sourcing strategies. You will partner closely with hardware engineering team to devise sourcing and technology development plans to launch next generation custom hardware. This will include interactions with hardware server development teams, network design and deployment engineering teams, rack integration, finance, legal, and others. You will be heavily focused on roadmap planning and execution against a technology migration strategy. You will leverage your expertise to build supplier relationships and architect agreements to support AWS' growing infrastructure. You will make responsible sourcing decisions that consider customer security, time to market, technology benefit, quality and cost.

Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty.<br/><br/>Key job responsibilities<br/>The successful candidate will:<br/><br/>- Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation.<br/>- Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact.<br/>- Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience.<br/>- Develop strategic plans to identify fundamentally new solutions for business problems.<br/>- Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues.<br/><br/>A day in the life<br/>This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact.<br/><br/>About the team<br/>Diverse Experiences Amazon Automated Reasoning 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 Amazon Automated Reasoning?<br/><br/>At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.<br/><br/>Inclusive Team Culture<br/><br/>In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.<br/><br/>Training & 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.<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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.<br/>

Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty.<br/><br/>Key job responsibilities<br/>The successful candidate will:<br/><br/>- Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation.<br/>- Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact.<br/>- Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience.<br/>- Develop strategic plans to identify fundamentally new solutions for business problems.<br/>- Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues.<br/><br/>A day in the life<br/>This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact.<br/><br/>About the team<br/>Diverse Experiences Amazon Automated Reasoning 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 Amazon Automated Reasoning?<br/><br/>At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.<br/><br/>Inclusive Team Culture<br/><br/>In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.<br/><br/>Training & 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.<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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.<br/>

Applied Scientists in AWS Automated Reasoning are dedicated to making AWS the best computing service in the world for customers who require advanced and rigorous solutions for automated reasoning, privacy, and sovereignty.<br/><br/>Key job responsibilities<br/>The successful candidate will:<br/><br/>- Solve large or significantly complex problems that require deep knowledge and understanding of your domain and scientific innovation.<br/>- Own strategic problem solving, and take the lead on the design, implementation, and delivery for solutions that have a long-term quantifiable impact.<br/>- Provide cross-organizational technical influence, increasing productivity and effectiveness by sharing your deep knowledge and experience.<br/>- Develop strategic plans to identify fundamentally new solutions for business problems.<br/>- Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues.<br/><br/>A day in the life<br/>This is a unique and rare opportunity to get in early on a fast-growing segment of AWS and help shape the technology, product and the business. You will have a chance to utilize your deep technical experience within a fast moving, start-up environment and make a large business and customer impact.<br/><br/>About the team<br/>Diverse Experiences Amazon Automated Reasoning 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 Amazon Automated Reasoning?<br/><br/>At Amazon, automated reasoning is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for automated reasoning across all of Amazon's products and services. We offer talented automated reasoning professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.<br/><br/>Inclusive Team Culture<br/><br/>In Amazon Automated Reasoning, it's in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest automated reasoning challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.<br/><br/>Training & 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.<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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.<br/>

The vast majority of data in the world is cold -- it must be durably and securely retained for long periods of time, but is rarely ever accessed. Conventional storage systems are a poor fit for this domain as they are typically optimized for speed rather than space and cost. Amazon Glacier, Amazon Web Service’s recently launched storage service, has been designed from the ground up to provide extremely secure, durable and scalable cold data storage at an extremely low cost. This unique set of constraints leads us to fascinating scaling and algorithmic problems that have never been tacked at our scale. In order to meet our vigorous cost goals, we have a constant need to drive fundamentally new storage technologies in the industry and come up with innovative ways to further optimize costs. We are beginning to work on the next set of major architectural enhancements to the service and are searching for a great senior engineer to join our growing team and our rapidly growing service.<br/><br/><br/>As a developer on our team, you'll have the opportunity to lead the design and implementation of a distributed storage service that operates at scale. Your design and development work would range from distributed system service development in Java, to low level systems coding that interfaces directly with hardware. You'll operate on the bleeding edge of innovations in the storage field, and will need to solve challenging fundamental computer science problems.<br/><br/><br/>We are looking for a senior engineer who is keen to lead, invent in this space, and build what could easily become the largest data storage service on the planet.<br/><br/><br/>Key job responsibilities<br/>- Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.<br/>- Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.<br/>- Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.<br/>- Take feature specifications and deliver working code that is maintainable and extendable.<br/>- Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.<br/>- Design and code the right solutions starting with broadly defined problems.<br/>- Work in an agile environment to deliver high-quality software.<br/><br/><br/><br/><br/>About the team<br/><br/>ABOUT AWS:<br/>Diverse Experiences <br/>Amazon 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/>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 flexible work hours and arrangements are part of our 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 and AmazeCon 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.

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.<br/><br/>AWS Neuron is the complete software stack for the AWS Trainium and Inferentia cloud-scale machine<br/>learning accelerators and the Trn3/Trn2/Trn1 and Inf2/Inf1 servers that use them. This role is for a software engineer in the Distributed Training team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale multi-modal large language models like Llama, Qwen, gpt-oss, DeepSeek and beyond, as well as multi-modal generation models such as Stable Diffusion, Flux, WAN, and many more.<br/><br/>The Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with AWS Trainium, maximize training throughput, minimize time-to-convergence, and push the boundaries of training efficiency on Trainium. You will identify and resolve performance bottlenecks across the stack, from collective communications and memory utilization to compiler optimizations and kernel performance.<br/><br/>Key job responsibilities<br/>This role will lead efforts to optimize distributed training performance on Trainium, with a primary focus on maximizing training throughput, model flops utilization, and efficiency across the Neuron software stack. You will work across PyTorch, JAX, and the Neuron compiler and runtime to enable and tune large-scale training workloads on the latest Trainium instances.<br/><br/>About the team<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.

Shape the Future of AI Accelerators at AWS Neuron<br/><br/>Join the elite team behind AWS Neuron—the software stack powering AWS's next-generation AI accelerators Inferentia and Trainium. As a Senior Software Engineer in our Machine Learning Applications team, you'll be at the forefront of deploying and optimizing some of the world's most sophisticated AI models at unprecedented scale.<br/><br/>What You'll Impact:<br/>• Pioneer distributed inference solutions for industry-leading LLMs such as GPT, Llama, Qwen<br/>• Optimize breakthrough language and vision generative AI models<br/>• Collaborate directly with silicon architects and compiler teams to push the boundaries of AI acceleration<br/>• Drive performance benchmarking and tuning that directly impacts millions of inference calls globally<br/><br/>Key job responsibilities<br/>You will drive the Evolution of Distributed AI at AWS Neuron<br/><br/>As a Technical Leader at the forefront of AWS's AI Accelerator, you'll architect the bridge between ML frameworks including PyTorch, JAX and AI hardware. This isn't just about just optimization—it's about revolutionizing how AI models run at scale.<br/><br/>Technical Impact You'll Drive:<br/>• Spearhead distributed inference architecture for PyTorch and JAX using XLA<br/>• Engineer breakthrough performance optimizations for AWS Trainium and Inferentia<br/>• Develop ML tools to enhance LLM accuracy and efficiency<br/>• Transform complex tensor operations into highly optimized hardware implementations<br/>• Pioneer benchmarking methodologies that shape next-gen AI accelerator design<br/><br/>What Makes This Role Unique:<br/>• Direct influence on AWS's AI infrastructure used by thousands of ML applications<br/>• Full-stack optimization from high-level frameworks to hardware-specific primitives<br/>• Creation of tools and frameworks that define industry standards for ML deployment<br/>• Collaboration with both open-source ML communities and hardware architecture teams<br/><br/>Your Technical Arsenal Should Include:<br/>• Deep expertise in Python and ML framework internals<br/>• Strong understanding of distributed systems and ML optimization<br/>• Passion for performance tuning and system architecture<br/><br/>A day in the life<br/>Work/Life Balance<br/>Our team puts a high value on work-life balance. 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/>Mentorship & Career Growth<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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.<br/><br/>About the team<br/>At AWS Neuron, we're revolutionizing how the world's most sophisticated AI models run at scale through Amazon's next-generation AI accelerators. Operating at the unique intersection of ML frameworks and custom silicon, our team drives innovation from silicon architecture to production software deployment.<br/>We pioneer distributed inference solutions for PyTorch and JAX using XLA, optimize industry-leading LLMs like GPT and Llama, and collaborate directly with silicon architects to influence the future of AI hardware. Our systems handle millions of inference calls daily, while our optimizations directly impact thousands of AWS customers running critical AI workloads.<br/>We're focused on pushing the boundaries of large language model optimization, distributed inference architecture, and hardware-specific performance tuning. Our deep technical experts transform complex ML challenges into elegant, scalable solutions that define how AI workloads run in production.

Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago—even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.<br/><br/>AWS Neuron is the complete software stack for the AWS Trainium (Trn1/Trn2) and Inferentia (Inf1/Inf2) our cloud-scale Machine Learning accelerators. This role is for a Senior Machine Learning Engineer in the Distribute Training team for AWS Neuron, responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive-scale Large Language Models (LLM) such as GPT-OSS, Quen and Llama, as well as Stable Diffusion, Vision Transformers (ViT) and many more.<br/><br/>The ML Distributed Training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trainium instances. Experience with training these large models using Pythorch is a must. Distributed training with awareness of strategies like FSDP (Fully-Sharded Data Parallel), PP, Context parallel. Distributed training libraries like torchtitan, torchtune , HF RL , DeepSeek etc are central to this and extending all of this for the Neuron based system is key focussing on enabling large scale training. Experience is post-training strategies like DPO/PPO/HF torch-tune will additional strength and aligns with team success.<br/><br/><br/>Key job responsibilities<br/><br/>You will lead efforts to build distributed training support into PyTorch, the Neuron compiler, and runtime stacks. You will enable distribute training strategies as well as use them to optimize models to achieve peak performance and maximize efficiency on AWS custom silicon, including Trainium servers. Strong software development skills, the ability to deep dive, work effectively within cross-functional teams, and a solid foundation in Machine Learning are critical for success in this role.<br/><br/>About the team<br/>Annapurna Labs was a startup company acquired by AWS in 2015, and is now fully integrated. If AWS is an infrastructure company, then think Annapurna Labs as the infrastructure provider of AWS. Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years.<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/>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/>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/>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/>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/>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.

Amazon seeks an experienced Data Engineer to join the DPS (Deny Party Screening) team. Our mission is to prevent denied parties from transacting with Amazon businesses, including AWS, customers, vendors, sellers, subsidiaries, etc. We screen billions of events every day. We integrate with Tier 1 systems, build DPS systems, and deal with unique scaling challenges.<br/> <br/>As a Data Engineer, you will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate.<br/><br/>Key job responsibilities<br/>• Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc.<br/>• Develop and manage ETLs to source data from various financial, AWS networking and operational systems and create unified data model for analytics and reporting.<br/>• Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Redshift/Spectrum and Athena.<br/>• Collaborate with other Engineering teams, Product/Finance Managers/Analysts to implement advanced analytics algorithms that exploit our rich datasets for financial model development, statistical analysis, prediction, etc.<br/>• Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency.<br/>• Use business intelligence and visualization software (e.g., QuickSight) to develop dashboards those are used by senior leadership.<br/>• Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed.<br/>• Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems.<br/>• Manage numerous requests concurrently and strategically, prioritizing when necessary<br/>• Partner/collaborate across teams/roles to deliver results.<br/>• Mentor other engineers, influence positively team culture, and help grow the team<br/><br/>About the team<br/>Denied Party Screening (DPS) is a part of Amazon Security, an organization designed to drive bar-raising security engagements. The vision of the Amazon DPS program is to ensure that 1+ billion Amazon accounts spanning across consumers, sellers, developers, employees, and all other Amazon party, are not a denied party, located or incorporated in a sanctioned region or country, or owned or controlled by or subject to the jurisdiction of the government of a sanctioned country. <br/><br/>Why Amazon Security<br/>At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services.<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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.<br/><br/>Inclusive Team Culture<br/>In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.<br/><br/>Training 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, training, and other career-advancing resources here to help you develop into a better-rounded professional.

AWS Machine Learning accelerators are at the forefront of AWS innovation. The Trainium chip delivers industry-leading ML inference and training performance at the lowest cost in the cloud. This is enabled by edge software stack, the AWS Neuron Software Development Kit, which includes a Machine Learning compiler. The SDK natively integrates into popular ML frameworks, such as PyTorch, JAX and TensorFlow. AWS Neuron is widely adopted by many internal and external customers and partners.<br/><br/>Amazon Annapurna Labs drives innovation in silicon and software for AWS, blending cloud-scale impact with world-class engineering talent. Our multidisciplinary team spans silicon design, hardware verification, software, and operations. We operate in large, complex domains with small, agile teams, fostering continuous learning and rapid innovation. With no set blueprint, we thrive on experimentation and offer a uniquely dynamic and enriching environment across a wide range of AWS products and services. Learn more about our history: https://www.amazon.science/how-silicon-innovation-became-the-secret-sauce-behind-awss-success <br/><br/>We are seeking an exceptional Software Engineering Manager to lead portion of our Deep-Learning Backend Compiler team at AWS Neuron. You will manage a team of talented compiler engineers focused on machine learning compiler design and development. In this role, you will drive the design and implementation of ML compiler solutions, develop advanced optimization techniques, lead hardware bring-up for next-generation chips, and influence pre-silicon design decisions while mentoring your team. This position offers the opportunity to directly impact AWS's machine learning infrastructure and accelerate the delivery of innovative products and features to market.<br/><br/>Explore the Product: <br/>https://awsdocs-neuron.readthedocs-hosted.com/en/latest/neuron-guide/neuron-cc/index.html, <br/> https://github.com/aws/aws-neuron-sdk https://aws.amazon.com/machine-learning/neuron/, https://aws.amazon.com/machine-learning/neuron/<br/><br/><br/>A day in the life<br/><br/><br/><br/>About the team<br/>Inclusive Team Culture Here at Annapurna Labs, 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 host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences. 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. Work/Life Balance Our team puts a high value on work-life balance. 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. Mentorship & Career Growth 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. We care about your career growth and strive to assign projects 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.

Do you want to shape the future of virtualized (SDN) networking in the world’s biggest public cloud?<br/><br/>The Amazon Elastic Compute Cloud (EC2) VPC Packet Pipeline team owns the packet pipeline that runs right beneath all our customer's EC2 VPC instances, adding features like firewalling (security groups), billing and monitoring as we touch every single packet on every single host across our massive worldwide fleet. Our vision is to combine the performance of bare metal networking while maintaining all the benefits of the cloud, including delivering features not possible on bare metal i.e. true Software Defined Networking (SDN).<br/><br/>We are seeking an Embedded Software Development Engineer II (C/C++) to join our EC2 Nitro Fairness team, where you'll help ensure equitable resource allocation in our multi-tenant cloud infrastructure while maintaining the single-tenant experience customers expect. In this role, you'll develop sophisticated algorithms and systems that intelligently manage shared compute, memory,<br/>and network resources across diverse customer workloads. You'll design and implement sophisticated fairness algorithms, real-time resource schedulers, and performance isolation systems that operate at microsecond latencies across millions of concurrent EC2 instances within the Nitro hypervisor. This position requires deep understanding of virtualization technologies, distributed systems, and performance optimization, as you'll be directly impacting how millions of EC2 instances share underlying hardware while appearing completely isolated to end users. You'll collaborate closely with hardware teams, hypervisor engineers, and service owners to implement fairness policies that balance resource utilization efficiency with strict performance guarantees.<br/><br/>Key job responsibilities<br/>Technical Leadership & Development:<br/>• Lead architecture decisions for fairness algorithms and resource allocation systems within the Nitro hypervisor<br/>• Mentor junior engineers on low-level C/Rust programming and embedded system development practices<br/>• Conduct design and code reviews for performance-critical fairness mechanisms<br/>• Drive implementation of resource isolation and scheduling policies in embedded Nitro environments<br/><br/>Performance Analysis & Optimization:<br/>• Analyze customer workload patterns to identify fairness violations and noisy neighbor scenarios<br/>• Design and implement hardware-aware fairness algorithms leveraging CPU cache locality, memory bandwidth, and network resources<br/>• Collaborate with hardware engineering teams to optimize packet-pipeline software and hardware offloads for equitable resource sharing<br/>• Set and achieve fairness performance goals for new instance types and Nitro hardware generations<br/><br/>Cross-Team Collaboration & Strategy:<br/>• Partner with hardware/firmware teams on co-designing fairness enforcements<br/>• Collaborate with other engineering vertical teams to ensure fairness features integrate seamlessly across the stack<br/>• Communicate fairness requirements and technical designs to senior management and product teams<br/>• Evaluate emerging technologies for ML-based instance types and their impact on resource fairness<br/><br/>System Design & Implementation:<br/>• Develop real-time fairness monitoring and enforcement systems operating at microsecond latencies<br/>• Implement dynamic resource allocation policies that adapt to changing workload characteristics<br/>• Design telemetry and observability systems to measure and validate fairness across multi-tenant environments

The AWS Billing provides the back and front-end services that enable AWS customers to purchase AWS services and understand and manage their infrastructure costs. Come to join our team to tackle some of the hardest scalability, performance, and distributed computing challenges in the world. We process trillions of events per month using stream processing techniques (Kinesis), process billions of line items via map reduce (EMR), and manage artifacts through the latest in database technologies (DynamoDB and Aurora). We process big data and provide tools for customers to interactively understand their bills.<br/><br/>We also provide the analytics that let customers manage billions of dollars of IT usage and spending. Because we sit at the nexus of all AWS services and interact directly with end-customers, we also work closely across all AWS teams to ensure that we offer a great customer experience.<br/><br/>As an engineer in the team, you will design, build and operate services that will help AWS to meet the needs of our customers. Delivering a reliable and high-performance service at AWS scale requires team work of engineers with technical expertise and creativity. At Amazon, we also expect engineers like you to interact with customers, other teams, to understand our business goals, and to innovate rapidly, delivering high-quality and ground-breaking functionality.<br/><br/>You are creative, curious, responsible, and able to work with others to rapidly turn an idea into working code. You’re excited about writing code, implementing big ideas, and helping to coach those around you to raise the team’s bar for code quality. You want the opportunity to grow your technical and professional skills while helping AWS grow. You relish the opportunity to dig into complex operational issues and to help customers build the next generation of applications.<br/><br/>If you enjoy engaging in passionate discussions with smart people and letting the best ideas rise to the top while designing and building systems that can scale and solving challenging problems just push our door to know more about us

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.<br/><br/>Are you passionate about building large-scale messaging infrastructure that powers critical customer communications? Join the AWS End User Messaging to build intelligent routing systems and templated messaging solutions that enable enterprises to reach their users reliably and efficiently. We are ramping up the team to deliver innovative features that provide customers with immediate access to pre-approved messaging templates and AWS-managed identities for transactional messaging.<br/><br/>The AWS End User Messaging team is recruiting a Software Development Engineer I who will contribute to building and scaling messaging routing infrastructure including SMS, Voice, and RCS channels. You will work on projects such as:<br/><br/>- Routing Services: Building templated messaging APIs with intelligent routing between customer-owned and AWS-managed phone numbers<br/>- Fraud Protection Systems: Implementing systems to detect and prevent fraudulent traffic, protecting customers from unexpected costs while maintaining legitimate message delivery<br/>- Cross-Region Routing: Developing distributed systems that optimize message delivery across global phone number pools<br/>- Automated Failover Mechanisms: Creating intelligent routing systems that automatically detect delivery issues and reroute traffic to ensure high message delivery rates<br/><br/>You will collaborate with experienced engineers, product managers, and other technology leaders at Amazon to translate customer needs into scalable features. This is an excellent opportunity to work on distributed systems at massive scale while learning from a team that operates across multiple AWS regions.<br/><br/>What We're Looking For<br/>The ideal candidate will have:<br/><br/>- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience)<br/>- Strong foundation in object-oriented programming, data structures, and algorithms<br/>- Experience with or eagerness to learn distributed systems and cloud services<br/>- Passion for building customer-facing features and solving complex technical challenges<br/>- Strong communication skills and ability to collaborate effectively with cross-functional teams<br/>- Ownership mindset and willingness to learn from experienced engineers<br/><br/>Key job responsibilities<br/><br/>As a Software Development Engineer II on the SMS Routes team, you will:<br/><br/>- Design and Implement Scalable Services: Build new microservices and APIs for templated messaging, routing logic, and fraud protection using modern development practices and AWS services<br/>- Own End-to-End Features: Take ownership of features from design through deployment, including writing comprehensive tests, creating operational dashboards, and participating in on-call rotations<br/>- Collaborate on Technical Design: Participate in design reviews, contribute to architecture decisions, and learn best practices for building fault-tolerant, highly available messaging systems<br/>- Optimize Message Delivery: Work on intelligent routing algorithms that select optimal origination identities based on destination country, carrier relationships, and delivery performance metrics<br/>- Build Fraud Protection Systems: Develop and enhance capabilities that analyze traffic patterns, detect suspicious activity, and automatically block fraudulent messages while minimizing false positives<br/>- Ensure Quality and Reliability: Write comprehensive tests, participate in code reviews, and contribute to the team's commitment to quality and operational excellence<br/>- Learn and Grow: Develop expertise in telephony ecosystems, carrier integrations, compliance requirements, fraud detection systems, and AWS service development practices<br/>- Mentor and grow junior engineers on the team<br/><br/>A day in the life<br/>Why Join AWS End User Messaging?<br/>- Immediate Customer Impact: Your work will power critical customer communications daily<br/>- Modern Development Practices: Work with AI-assisted development tools, comprehensive testing infrastructure, and rapid deployment cycles<br/>- Learning Opportunities: Gain expertise in distributed systems, telephony infrastructure, carrier relationships, fraud detection, and AWS service development<br/>- Innovative Projects: Contribute to state of the art features like cross-channel messaging, intelligent routing, fraud protection systems, and automated failover mechanisms<br/>- Strong Team Culture: Join a team that values test-driven development, operational excellence, and continuous learning<br/><br/>About the team<br/>Diverse Experiences <br/>Amazon 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/>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 flexible work hours and arrangements are part of our 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 and AmazeCon 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.