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Sr. Software Dev Engineer, Ads AI Core Infra

Amazon.com Inc

  • Seattle, WA
  • 5 days ago

    Highlights

    The Spektr Ads Data Lake team in Ads AI Core Infra org has a mission to provide unified experience for easy discovery and access to privacy compliant data that helps advertising business teams quickly generate insights and meet the data needs of Ads AI models with a vision to 'build the world's best & most cost efficient analytics platform.'. A Sr SDE on this team has a unique opportunity to create tech strategies, design and innovate solutions for this scale, delivering robust and scalable services built over Java leveraging AWS services as well as innovate with big data technologies like Spark, EMR, Athena and more.

    Numbers & Facts

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

    Description

    Would you like to build highly available, scalable, distributed engineering systems for one of the largest data lakes in Amazon?

    The Ads Central Datalake unifies Petabytes of data generated across the Ads pipeline such as campaigns, ad-serving, billing, clicks, impressions and more and into a single scalable repository. This is used across the organization to drive hundreds of thousands of complex queries for analysis, measurement and reporting decisions for our customers. The data lake enables customers such as data engineers, business analysts, ML engineers, research scientists, economists and data experts to collect what they need via world-class self-service tools.

    Our mission is to provide unified experience for easy discovery and access to privacy compliant data that helps advertising business teams quickly generate insights and meet the data needs of Ads AI models with a vision to 'build the world's best & most cost efficient analytics platform'. A Sr SDE on this team has a unique opportunity to create tech strategies, design and innovate solutions for this scale, delivering robust and scalable services built over Java leveraging AWS services as well as innovate with big data technologies like Spark, EMR, Athena and more. You will create value that materially impacts the speed and quality of decision making across the organization resulting in tangible business growth.

    Key job responsibilities

    • Engage with key stakeholders such as Product, Program Managers, Senior Managers to understand customer, business requirements and brainstorm on solutions. Drive tech strategy and decision making.
    • Apply your technical expertise to solve complex software problems in a fast-paced environment
    • Strategize, design and launch services for medium-to-large scale projects across all areas of this Spektr Data lake core components. All with the goal of delivering a seamless experience to the customer.
    • Provide guidance to and mentor other SDEs in the team. Ensure testability, maintainability and low operational footprint for the team.
    • Participate in operational responsibilities with your team and ensure clear and accurate business metrics and operational metrics.

    A day in the life

    As a Sr Software Development Engineer on this team, you will create strategies, software designs and implementation for medium-to-large scale projects across all ETL components that make up the customer data lifecycle and data compliance. You will work directly with product management and program management to understand and define requirements and apply your technical expertise to solve complex software problems in a fast-paced environment. You"ll design and build software and systems for novel customer experiences, AWS services, and large-scale back-end web services, all with the goal of delivering a seamless experience to the customer.

    About the team

    The Spektr Ads Data Lake team in Ads AI Core Infra org has a mission to provide unified experience for easy discovery and access to privacy compliant data that helps advertising business teams quickly generate insights and meet the data needs of Ads AI models with a vision to 'build the world's best & most cost efficient analytics platform.'

    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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