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Software Development Manager, BDT - Andes Storage / Cairns

Amazon.com Inc

  • Seattle, WA
  • 6 days ago

    Highlights

    This is a hands-on position where you will be do everything from designing and building highly efficient Big Data storage and components with state-of-the-art features for optimized analytical and AI workflow on variety of computes like Spark, Redshift, Athena, EMR, Ray, mentor other engineers and work with our business partners, data engineers and analysts to help them get the best results. Business Data Technology mission is to accelerate Amazon's data-driven business, enable the next generation of analytics and machine learning technologies at scale, and raise the bar on global customer trust by cataloging, protecting, enriching, and brokering all SDO data through its lifecycle.

    Numbers & Facts

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

    Description

    Amazon is big and very data driven. Interested in building the next generation analytics platform to make this easy at an Amazon scale?

    Amazon"s BDT organization is building a new data lake marketplace allowing for data producers and consumers to easily and securely share large volumes of data, run massively parallel analytics and share the gained insights.

    As part of the BDT organization, we are developing the core services of the data lake that includes cataloging, storage, access, compliance and quality and we're looking for top engineers to build it from the ground up.

    This is a hands-on position where you will be do everything from designing and building highly efficient Big Data storage and components with state-of-the-art features for optimized analytical and AI workflow on variety of computes like Spark, Redshift, Athena, EMR, Ray, mentor other engineers and work with our business partners, data engineers and analysts to help them get the best results. You need to not only be a top software developer with excellent programming skills with a stellar record of delivery but also show bias for customer obsession. You need to have a real passion for very large scale storage, catalog, databases and massively parallel computing. You will work with the latest AWS technologies in the big data space such as S3, EMR, Glue, Redshift and Athena to build new applications that leverage these technologies and open source frameworks like Iceberg, Apache Spark, Hive, Presto and Flink.

    Key job responsibilities

    Your responsibilities will include:

    A successful candidate will have a background in the leading team that owns distributed systems, a solid technical foundation, good communication skills, and a motivation to achieve results in a fast paced environment. As part of this role you will:

    Build and manage a team of industry-leading software engineers

    Foster career growth and a strong team culture

    Recruit, hire, mentor, and coach engineers

    Work cross-functionally, interfacing with internal customers to gain clarity on requirements, set priorities and communicate direction and progress

    Own all operational metrics for your team's software

    Manage the agile development process and methodology to deliver incremental value to customers

    Work with product management to develop long-term architectural and business strategy

    Familiarity with high velocity development using GenAI tools

    About the team

    Business Data Technology mission is to accelerate Amazon's data-driven business, enable the next generation of analytics and machine learning technologies at scale, and raise the bar on global customer trust by cataloging, protecting, enriching, and brokering all SDO data through its lifecycle. Enterprise Data & Catalog (EDC)"s vision is to provide unified data access, fine-grained access controls, and enriched, descriptive metadata across all SDO data for all commonly used formats and storage types. Andes Cairns mission is to provide best of breed storage, catalog and compute for the largest data and highest scale analytical and AI jobs.

    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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