Software Engineer, Core Infrastructure
Listed on 2026-01-12
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IT/Tech
AI Engineer
🚀About Compa
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.
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, 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.
The Role:
As an Software Engineer on the Core Infrastructure team at Compa, you will own and lead infra and Dev Ops projects across Compa’s products, systems, AI/ML, and data warehouse.
In this role you will
:
- 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
Minimum Qualifications:
- 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
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
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