Amazon.com Inc logo

Senior Software Development Engineer, Insights Data Services

Amazon.com Inc

  • Seattle, WA
  • 19 days ago

    Highlights

    On any given day you might be profiling a Spark job on EMR to cut processing time, working with teammates to reduce end-to-end data freshness from hours to minutes, or finding ways to serve the same workloads at lower infrastructure cost. We"re looking for a Senior Software Development Engineer to build and optimize the distributed systems that process cost and usage data at massive scale - with the goal of delivering it to customers within minutes.

    Numbers & Facts

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

    Description

    Every dollar spent on AWS passes through our pipelines. We"re looking for a Senior Software Development Engineer to build and optimize the distributed systems that process cost and usage data at massive scale - with the goal of delivering it to customers within minutes. You"ll work on batch and streaming pipelines that are the foundation for AWS Cost Explorer, Budgets, Cost Anomaly Detection, and more, tackling hard problems in data freshness, query performance, and cost efficiency using technologies like Spark and EMR.

    Key job responsibilities

    • Design and implement large-scale distributed data processing systems handling trillions of records
    • Build and optimize batch and streaming pipelines for throughput, latency, and cost efficiency
    • Drive technical decisions on architecture, data modeling, and system design
    • Mentor engineers, lead design reviews, and contribute to team-wide engineering standards
    • Own operational excellence for your systems - including monitoring, alarming, runbooks, and on-call
    • Collaborate with product, science, and partner teams to deliver customer-facing features

    A day in the life

    You"ll spend your time deep in the code - designing, building, and optimizing the distributed systems that deliver cost and usage data to AWS customers. On any given day you might be profiling a Spark job on EMR to cut processing time, working with teammates to reduce end-to-end data freshness from hours to minutes, or finding ways to serve the same workloads at lower infrastructure cost. You"ll collaborate closely with partner teams across Billing, AWS, and product managers and service owners to ensure the data customers see is accurate, timely, and complete. This is a hands-on engineering role where you"re both shipping code and helping the engineers around you ship better code.

    About the team

    Few teams at AWS touch every single customer. AWS Insights Data Services is one of them. We process and allocate cost management data at massive scale - quadrillions of billing data points, trillions of records, and petabytes of storage. Our batch and streaming systems are the foundation for Cost Explorer, Cost and Usage Reports (CUR), Budgets, Cost Anomaly Detection, RI/SP Coverage and Utilization, Recommendations, and Forecasting. Our ambition: deliver cost visibility to customers within minutes.

    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

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