Software Engineer, New Grad

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. At Compa, we’re building the future of enterprise compensation. Our platform helps the world’s largest companies make smarter, fairer, and more transparent pay decisions—powered by live data and thoughtful design. As a Software Engineer, you’ll have significant ownership and autonomy to build the systems and infrastructure that power Compa’s core products. You’ll work across the stack, collaborate closely with product and design, and contribute to features that directly impact enterprise customers. In this role, you will: Ship production-grade software across Compa’s web app and backend systems Build new features and improve existing workflows in collaboration with Product and Design Write clean, scalable code and contribute to system architecture decisions Participate in code reviews, team rituals, and roadmap discussions Solve real problems for enterprise compensation teams—from data pipelines to user experience Minimum Qualifications Spring 2026 graduation date Proficiency in at least one modern web development language or framework Comfortable working across the stack or specializing in either frontend or backend Proven ability to work autonomously and follow through on commitments Pragmatic and thoughtful about trade-offs—focus on outcomes over tools Strong communication and collaboration skills Preferred Qualifications Interest or experience in AI systems or ML infrastructure (a plus, not a requirement) Comfortable navigating ambiguity and working in fast-paced, iterative environments 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

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