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Senior Software Development Engineer, AWS Mantle

Amazon.com Inc
  • Seattle, WA
    28 days ago

    Job Description

    Are you passionate about building the infrastructure that powers the next generation of AI? We are seeking a Sr. Software Development Engineer to join the AWS Mantle team and drive the technical vision for our distributed inference engine that serves millions of customers across Amazon Bedrock. In this role, you will define and execute on large-scale, ambiguous technical challenges at the intersection of machine learning systems, distributed computing, and security-shaping how the world accesses foundation models.

    Set the long-term technical direction for a globally distributed, high-performance ML inference platform serving models from industry-leading AI providers

    Own end-to-end system design decisions that directly impact latency, reliability, and scalability for millions of customers worldwide

    Influence engineering strategy across Amazon Bedrock, partnering with senior leadership to align technical investments with business outcomes

    Raise the engineering bar through exemplary system design, mentorship, and contributions to the broader AWS engineering community

    Navigate complex trade-offs across performance, security, and cost while maintaining the highest standards for operational excellence

    Key job responsibilities

    As a Sr. SDE on the Mantle team, you will serve as the technical conscience and strategic thought leader for one of AWS"s most critical AI infrastructure platforms. You will architect solutions that are reliable, scalable, and secure-operating at the cutting edge of distributed systems where millisecond-level latency and zero-trust security are non-negotiable.

    Design and evolve the architecture of Mantle"s distributed inference engine, including capacity management, model onboarding pipelines, and quality-of-service controls

    Drive cross-organizational initiatives spanning multiple AWS teams to deliver seamless, OpenAI-compatible API experiences with Zero Operator Access (ZOA) security guarantees

    Lead technical strategy for scaling inference to support rapid onboarding of new foundation models while maintaining global availability and performance SLAs

    About the team

    The AWS Mantle team is building the next-generation inference engine that powers Amazon Bedrock-providing secure, enterprise-grade access to high-performing foundation models from the world"s leading AI companies. Our mission is to simplify and accelerate how models are served at global scale, with an unwavering commitment to customer trust through innovations like our Zero Operator Access architecture, designed so that no person-whether from AWS, a customer, or a model provider-can ever access customer inference data.

    We operate at massive scale, serving inference requests across all major AWS regions with sophisticated automated capacity management and unified resource pools

    Our team values builders who thrive in ambiguity, think long-term, and are excited to define the future of AI infrastructure from the ground up

    We foster a collaborative, inclusive environment where diverse perspectives drive better solutions-and where the best ideas win regardless of where they originate

    We ship fast and iterate with purpose, having rapidly expanded from launch to supporting models from OpenAI, DeepSeek, Google, Mistral, NVIDIA, and more

    We believe work should be meaningful and fun-you"ll join a team that takes pride in making history at the forefront of generative AI

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Skills

    • Amazon Web Services (AWS)unmatched
    • Architectural Designunmatched
    • Artificial Intelligence (AI)unmatched
    • Capacity Managementunmatched
    • Computer Securityunmatched
    • Distributed Computingunmatched
    • Inference Engineunmatched
    • Leadershipunmatched
    • Machine Learningunmatched
    • Management Strategyunmatched
    • Mentoringunmatched
    • Onboardingunmatched
    • Productivity Modelunmatched
    • QoS (Quality of Service)unmatched
    • Service Level Agreement (SLA)unmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Team Playerunmatched
    • Technical Leadershipunmatched
    • Technical Strategyunmatched
    • Thought Leadershipunmatched

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