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Senior Software Development Engineer, AWS Analytics Engineering

Amazon.com Inc
  • Seattle, WA
    3 days ago

    Job Description

    We are seeking a Senior Software Development Engineer to join our team and drive the next generation of our data platform and AI powered products at AWS scale. You will own end to end design, implementation, and operation of distributed systems that process petabyte scale data daily, serve hundreds of internal customers, and directly influence how AWS leadership makes decisions.

    This is a high impact role where you will shape the architecture of both products, building workflow orchestration systems, multi agent AI frameworks, GenAI powered analytics capabilities, and scalable platform services. You will operate at the intersection of distributed systems, data engineering, and applied AI/ML.

    Key job responsibilities

    Own and evolve system architecture. Design and implement scalable, secure, and cost effective distributed systems for workflow orchestration and AI powered analytics. Make sound technical trade offs between short term delivery and long term maintainability.

    Drive architectural decisions that impact petabyte scale data processing and thousands of jobs.

    Build multi agent AI systems. Design, implement, and optimize multi agent architectures including autonomous agents, orchestration frameworks, and tool integrations

    Build reusable components, APIs, and micro-services that other teams adopt. Continuously simplify, optimize, and remove bottlenecks across the stack.

    Drive platform capabilities end to end. Own features from concept through deployment and operation. Examples include building new marketplace and IDE experiences, implementing validated query patterns, designing cross service governed metrics, or creating real time monitoring dashboards.

    Solve complex ambiguous problems. Navigate unclear requirements and competing priorities to deliver innovative solutions.

    Influence technical direction and mentor others. Provide technical leadership across the team and adjacent teams.

    Drive operational excellence. Own the operational health of production systems.

    Innovate with AI/ML technologies. Stay current with GenAI, LLM, and ML advancements.

    A day in the life

    As a Senior Software Development Engineer, you will work closely with your customers and stakeholders to understand their analytics needs, translating them into scalable technical solutions on our data platform. You will work with cross functional teams including data engineers, applied scientists, product managers, and business analysts. You will design and build distributed systems that orchestrate thousands of daily workflows and process petabyte scale data across AWS services. ou will spend time writing and reviewing code, diving deep into production issues, and mentoring engineers on best practices. You will participate in architecture design and review meetings to hold a high standard for our infrastructure. You will balance building new capabilities with operational excellence, ensuring our systems are reliable, secure, and performant at scale.

    About the team

    The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS. We build and operate the data platform that powers business decisions across all of AWS services. Every insight surfaced to AWS product leadership, from service adoption trends to revenue drivers, flows through systems our team designs, builds, and maintains.

    We are a team of engineers and scientists supporting AWS product leaders to make high impact decisions through sophisticated analytical frameworks, trusted data science methods, and scalable ML products. We came from diverse backgrounds from statistics, computer science, engineering, and business analytics. We specialize in building data platforms that process at petabyte scale and the full end to end ML development process, from data ingestion to model deployment in production.

    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

    • Adoptionunmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Application Programming Interface (API)unmatched
    • Architectural Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Business Analysisunmatched
    • Code Reviewsunmatched
    • Computer Scienceunmatched
    • Cross-Functionalunmatched
    • Data Modelingunmatched
    • Data Processingunmatched
    • Data Scienceunmatched
    • Distributed Computingunmatched
    • Diversityunmatched
    • Divingunmatched
    • Financial Trend Analysisunmatched
    • IDE (Integrated Development Environment)unmatched
    • Leadershipunmatched
    • Mentoringunmatched
    • Metricsunmatched
    • Microservicesunmatched
    • Needs Assessmentunmatched
    • Problem Solving Skillsunmatched
    • Product Supportunmatched
    • Production Systemsunmatched
    • Reporting Dashboardsunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Statisticsunmatched
    • System Architectureunmatched
    • System Operationsunmatched
    • Team Playerunmatched
    • Technical Leadershipunmatched
    • Time Trackingunmatched

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