Software Engineer, Core Infrastructure

Software Engineer, Core Infrastructure

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Compa is a venture-backed SaaS 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. Our customers include the world’s biggest companies: NVIDIA, Stripe, Door Dash, 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.

$/yr - $/yr

As a Software Engineer on the Core Infrastructure team at Compa, you will own and lead infrastructure and Dev Ops projects across Compa’s products, systems, AI/ML, and data warehouse.

• Design, build, and maintain cloud infrastructure and Dev Ops tools and services
• Work on scaling, automation, reliability, and observability of infrastructure services
• Drive major company initiatives like multi‑cloud support and customer‑managed encryption keys
• Participate in roadmap planning and prioritization

• 4+ years of industry experience in a software engineering role
• Experience designing, building, and operating systems on one of the major cloud providers
• A strong engineering background in Dev Ops
• Experience with operational excellence and a deep understanding of metrics, alarms, and dashboards
• A passion for enabling teams to build fast while building safely through well‑designed proactive detection mechanisms and tooling
• Deep understanding of networking, operating systems, and cryptographic protocols
• In‑depth knowledge of Kubernetes
• Gumption — experience working at early‑stage startups

• Experience handling critical incidents for production systems
• Familiarity with Infrastructure as Code (IaC) deployments
• Exposure to multi‑cloud environments
• Exposure to ML Ops

Mid‑Senior level

Full‑time

Engineering and Information Technology