Compa

Design, build, and maintain backend services and AWS infrastructure to support the company's platform, focusing on scaling, automation, reliability, and observability. | 5+ years professional software engineering with deep expertise in Python, Django, Postgres, AWS, and strong DevOps/SRE fundamentals managing production systems. | About Compa Compa is a venture-backed AI startup revolutionizing the future of compensation. In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams. Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI. Our customers include the world’s biggest companies: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more. Locations: Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We’re a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible. 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 Own reliability end-to-end: monitoring, alerting, incident response, and continuous improvement 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

Design and deliver production software including AI/ML integrations and lead technical architecture decisions. | 5+ years shipping production software with deep proficiency in modern web languages and autonomous technical leadership. | About Compa Compa is a venture-backed AI startup revolutionizing the future of compensation. In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams. Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI. Our customers include the world’s biggest companies: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more. Locations: Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We’re a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible. The Role As a Senior Software Engineer, you'll have real ownership over the software and systems behind Compa's core products. You'll work across the stack, partner closely with Product and Design, and ship features that directly impact our customers. In this role, you will: Own production software across Compa's web app and backend systems, from design to delivery Own key ML and AI integrations into our data workflows, including building our own agent harness Build new features and improve existing workflows alongside Product and Design Lead architecture decisions and write clean, scalable code Drive code review and influence roadmap and technical direction Solve real problems for enterprise comp teams, from data pipelines to user experience Minimum Qualifications 5+ years of professional experience shipping production software on a team Deep proficiency in at least one modern web language or framework, and fluency across the stack Successful end to end ownership of complex features or systems (design to production) Experience leading technical decisions (trade-off justification) Experience driving projects autonomously through ambiguity (scoping to delivery) Experience raising the bar through code review and mentoring Preferred Qualifications Experience at early-stage or high-growth startups Familiarity with compensation, HR tech, or enterprise SaaS Experience with data-driven products or complex user workflows Interest or experience in AI systems or ML infrastructure Comfortable with ambiguity and fast, iterative work Tech Stack You don't need experience with all of these, but familiarity with any is a plus: Backend: Django, Python Frontend: React, TypeScript, GraphQL Infrastructure: AWS Other Tools: vLLM, Linear, Slack, Notion, Metabase