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The Opportunity

In this role, you will support our Perpetua product, which focuses on the seller and SMB market segment within the Flywheel portfolio. Perpetua provides growth optimization and reporting technology for the world’s smartest eCommerce businesses. Through the platform, brands and sellers create goals based on strategy and rely on Perpetua’s best-in-class, always-on optimization to execute tactically.

As a Senior Software Engineer - Backend with Perpetua you will be contributing to web applications written in Django Python and ReactJS / Typescript to bring a great Perpetua experience to our users. Amazon Ads is a $40B business today and every retailer on the planet is replicating the Amazon playbook, we’ve already transformed the way businesses approach e-commerce and online advertising and we’re ready to continue growing.

What You'll Do:

• You will build end-to-end features in our core platform across marketplaces like Amazon, Walmart, and Instacart.
• You will help us build deeper workflows into retail media platforms from across the globe.
• You will contribute to system design and architecture across our back-end microservices primarily deployed on GCP. From how we ingest and process terabytes of data every day to how data flows through our systems to power our platform.
• You will work closely with a team of 4-5 engineers, a product manager, and a designer to deliver a smooth experience to our customers.
• You will support the wider engineering organization by identifying areas of improvement, proposing RFCs, seeking feedback early and often, iterating over your ideas, and co-creating something better than you could have done by yourself.

Who You Are:

• 5+ Years of software engineering experience in web-based technologies at a product company.
• You have strong experience with Python frameworks such as Django/Flask, relational databases such as Postgres, and the cloud either GCP or AWS.
• You are not afraid to go deep on the rest of the stack. You are comfortable with navigating a large codebase across dozens of repositories.
• You’ve worked closely in teams of ~5 engineers before, solving hard problems collaboratively, and working tightly with your immediate peers as well as across teams.
• Strong experience in algorithms, data structures, and complexity analysis.
• You are comfortable navigating vague problems and creating clarity from uncertainty and communicating it clearly to your peers.
• We believe in taking ownership from start to end. You pride yourself on your ability to take complex problems and iterate on them until you find a simple solution.