Senior Software Engineer, Core Infrastructure

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 an Software Engineer on the Core Infrastructure team at Compa, you will own and lead infra and DevOps projects across Compa’s products, systems, AI/ML, and data warehouse.

In this role you will:

• Design, build, and maintain cloud infrastructure and DevOps tools and services

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

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

• Own reliability end-to-end: monitoring, alerting, incident response, and continuous improvement

• Drive major company initiatives like multi-cloud support and customer-managed encryption keys

• Move fast, ship often, and help shape technical decisions as we scale

• Participate in roadmap planning and prioritization

Minimum Qualifications:

• 6+ years of industry experience in a software engineering role working on infrastructure, platforms, or backend systems

• Experience designing, building, and operating systems on one of the major cloud providers

• A strong engineering background in DevOps/SRE and hands-on experience with Python

• 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, cryptographic protocols and distributed systems fundamentals

• In-depth knowledge of Kubernetes and solid hands-on experience with Python

• Gumption — experience working at early-stage startups

Preferred Qualifications:

• Experience handling critical incidents for production systems

• Familiarity with Infrastructure as Code (IaC) deployments

• Exposure to multi-cloud environments

• Exposure to ML Ops

• Working knowledge of security best practices