Lead Platform Engineer

About the Role

Lead platform engineering for a data and infrastructure team building a foundational platform that turns heterogeneous laboratory data into a unified, queryable knowledge base. You will own its architecture, security, and scale, helping scientists and AI agents work with reliable, well-governed data.

What You'll Do

• Set the architectural direction and build production ingestion pipelines, APIs, microservices, and storage layers that normalize diverse scientific data while preserving provenance.

• Operate knowledge graphs and vector search systems to support hybrid symbolic and semantic retrieval.

• Build high-concurrency services in Go and Python, including controlled agent write boundaries and isolated execution environments.

• Design service authentication, tenant isolation, secrets management, encryption, and other zero-trust security controls.

• Own Kubernetes infrastructure, infrastructure as code, CI/CD, and observability, and establish SLOs and internal developer pathways.

• Set engineering standards through architecture, code reviews, mentorship, and support for building the platform team.

What We're Looking For

• At least 5 years of platform or infrastructure engineering experience, with a track record building and operating production backend infrastructure, data platforms, or distributed systems.

• Strong experience with Kubernetes, Terraform, Ansible, and modern CI/CD systems.

• Experience architecting ingestion for messy, multi-source data, including schema harmonization and entity resolution.

• Proficiency with Go and Python or FastAPI, plus production data systems such as knowledge graphs or vector search.

• Experience designing production security boundaries and improving early-stage infrastructure and engineering practices.

• Background in computational biology, biotech data systems, or SOC 2 and similar compliance work is beneficial.

• Must be authorized to work in the United States without visa sponsorship or transfer.

Compensation & Benefits

Base salary is $220,000 to $300,000 USD annually. Visa sponsorship is not available.

Location

On-site, five days per week in San Francisco, California. Relocation assistance is available.