Senior Software Engineer, Platform

About Compa

Compa is a venture-backed AI startup revolutionizing the future of compensation! We're bringing AI-forward tools and human-centered engineering to make pay competitive and fair, for all. By offering a premier, live compensation data platform that delivers top-tier intelligence to enterprise teams, we enable the world's largest companies to make smart and fair decisions while staying competitive and compliant. In dynamic job markets during the rise of AI, companies need the best data to stay competitive!

Our force-multiplying team is powered by live data and thoughtful design, and our products have earned the trust of the world’s largest companies: NVIDIA, Stripe, DoorDash, OpenAI, Moderna, Workday, Ulta, Target, and more.

Come build with us!

The Role

The Compa Platform team builds and operates the systems that power our products, enable our engineers, and keep our platform infrastructure reliable as we grow. As a Senior Software Engineer on the Platform Team, you will own and lead backend and infrastructure projects across Compa's products, systems, AI/ML, and data warehouse. Join us and help design and maintain the foundation that enables the products our customers use daily!

What you’ll do

• Design, build, and maintain backend services and the AWS infrastructure that supports them

• Develop and scale application backends in Django and Postgres, with a focus on reliability and performance

• Work on scaling, automation, reliability, and observability of backend and infrastructure services

• Design and improve CI/CD pipelines, deployment workflows, and infrastructure automation on AWS

• Experience making architectural decisions and setting technical direction

• Ability to operate with autonomy in ambiguous problem spaces

• Act in a generalist platform engineering capacity on a small start-up team

• Assist in upscaling the team as new capabilities are developed, learning quickly and building shared resources that support continued growth

Minimum Qualifications

• 5+ years of professional experience in software engineering with an emphasis on backend systems

• Strong hands-on experience building and operating production systems on AWS

• Deep, hands-on experience with Python, Django, and Postgres in production

• Solid DevOps/SRE fundamentals (CI/CD, observability, incident response)

• Experience with operational excellence and a deep understanding of metrics, alarms, and dashboards

• Solid understanding of networking, distributed systems, and database fundamentals

Preferred Qualifications

• Start-up experience

• Experience handling critical incidents for production systems

• Familiarity with Infrastructure as Code (IaC) deployments

• Working knowledge of Kubernetes and container orchestration

• Exposure to ML Ops

• Working knowledge of security best practices and cryptographic protocols