Raydar
Infrastructure Engineer
$150K–$300K
San Francisco, California · Full-time · Posted Oct 12, 2026
- Experience
- 3 to 10 years; candidates based in New York generally need 4 to 5+ years, unless they have strong startup experience or a top 25 Computer Science degree.
- Education
- A degree from a top 25 Computer Science program.
About the job
Build and secure cloud and data infrastructure for an enterprise software platform, supporting ingestion, dependable releases, and machine learning workloads across cloud environments.
What you'll do
- Build scalable data infrastructure, ingestion pipelines, monitoring, and auditability for customer-hosted environments.
- Create secure-by-default infrastructure for privately hosted deployments, including permissions and audit logging.
- Optimize infrastructure for model training, inference, and agent-based systems; automate delivery across cloud providers.
What they ask for
- 3 to 10 years of infrastructure or platform engineering experience.
- Deep hands-on knowledge of a leading public cloud and experience running containerized workloads on Kubernetes at scale.
- Working familiarity with data pipeline tools, real-time processing, observability, logging, monitoring, and data governance.
- A degree from a top 25 Computer Science program.
Nice to have
- Exposure to machine learning infrastructure, regulated industries, managed AI platforms, or financial services regulations.
- Background at a company known for a demanding engineering standard, ideally on an early team.
Pay
USD 150,000 to 300,000 per year (base salary)
Tools
Kubernetes
AI focus
Tune infrastructure for model training, inference, and agent-based systems; machine learning infrastructure is also listed as a bonus.
Model-written summary · the original posting is authoritative