- Employment
- Full-time
- Seniority
- Staff
About the role
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 Staff Engineer on the Platform team, you'll own and lead platform engineering across our cloud, data, and AI/ML systems. Multi-cloud is central to what we're building, not a future initiative!
You'll work closely with your teammates and engineering leadership to set direction, and build the foundation that lets every team at Compa move fast, strategically. This is a high-ownership individual contributor role where your decisions shape how the enterprise builds and ships.
What you'll do
Design, build, and maintain core infrastructure across cloud, data, and AI/ML systems
Own and evolve Compa's Kubernetes-based platforms across AWS, GCP, and Azure
Drive multi-cloud initiatives including cloud abstraction patterns, cross-cloud identity, networking, data movement, traffic routing, and customer-managed encryption keys
Define platform standards for Kubernetes cluster architecture, workload isolation, tenancy, networking, security, scaling, upgrades, and operational ownership
Scale and automate infrastructure services and internal tooling
Raise the bar on reliability and observability through SLIs/SLOs, monitoring, and incident response
Design and improve CI/CD pipelines, deployment workflows, infrastructure automation and paved paths for engineering teams
Lead platform efforts that reduce developer toil and improve velocity
Partner with leadership on technical direction and roadmap
Act as a multiplier, setting standards that help engineers around you level-up
What we're looking for
8+ years of software engineering experience with a strong emphasis on infrastructure and platform development
Deep, hands-on experience with managed Kubernetes (EKS, GKE, or AKS) - cluster architecture, networking, scaling, upgrades and production operations
Strong Python skills applied to infrastructure tooling and backend systems
Hands-on experience designing and operating production systems across at least two of AWS, GCP, and Azure; this is a must-have
Experience managing infrastructure across cloud boundaries: identity, networking, data, traffic routing, and failover
Observability tooling experience such as Prometheus, Grafana,, OpenTelemetry, Loki or ELK, Jeager, or Tempo
Comfortable with high ownership and ambiguity - you've built things without a playbook before
Nice to have
DevOps and SRE practices: infrastructure as code, CI/CD, incident response
Security fundamentals: IAM, secrets management, encryption, least privilege
Exposure to MLOps
Early-stage startup experience
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