Ivo
United States
Infrastructure Engineer (DevOps) - AI Contract Automation
Devops Full-time Mid-Senior level 10h ago
- AI
- AWS
- Cloud
- Devops
AI Summary
Lead platform engineering at an early-stage biotech data infrastructure company. Own architecture, security, scale, ingestion, APIs, microservices, storage, and cloud infrastructure. Requires 5+ years of platform/infrastructure experience, Kubernetes, Terraform, Go, and leadership.
Key Highlights
Lead platform engineering for a biotech data infrastructure company
Own architecture, security, scale, and cloud infrastructure
Build ingestion pipelines, APIs, microservices, and storage layers
Operate knowledge graphs and vector search systems
On-site in San Francisco, California
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Key Responsibilities
Set architectural direction and build ingestion pipelines, APIs, microservices, and storage layers
Operate knowledge graphs and vector search systems
Build high-concurrency services in Go and Python
Define security boundaries and zero-trust practices
Own cloud infrastructure, CI/CD, observability, SLOs, and developer workflows
Establish engineering standards, review code, and mentor engineers
Partner with leadership on team design and recruitment
Technical Skills Required
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Benefits & Perks
Relocation assistance
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Nice to Have
Biotech data experience
SOC 2 or similar compliance experience
Job Description
About the Role
Lead the platform engineering effort at an early-stage biotech data infrastructure company. You will own the architecture, security, and scale of a foundational platform that turns diverse laboratory data into a unified, queryable knowledge base for scientists and AI agents.
What You'll Do
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