Lead Platform Engineer

About the Role

Join the platform engineering team at an early-stage scientific data platform company. You will shape and scale the foundational infrastructure that brings varied laboratory data together into a reliable, queryable resource for scientists and AI systems.

What You'll Do

• Own the architecture, implementation, security, and scaling of the core data and execution platform.

• Build and operate production ingestion pipelines, APIs, microservices, and storage layers that structure complex scientific data while preserving its provenance.

• Manage knowledge graph and vector search systems to support combined symbolic and semantic retrieval.

• Develop high-concurrency platform services in Go and APIs in Python, with controlled agent write access and isolated execution environments.

• Establish security boundaries, including service authentication, tenant isolation, secrets management, encryption, and zero-trust practices.

• Own cloud infrastructure, CI/CD, and observability, and set SLOs and reusable developer workflows.

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

What We're Looking For

• Three to seven years of experience in platform or infrastructure engineering, with a track record building production backend infrastructure, data platforms, or distributed systems.

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

• Experience designing ETL or ELT pipelines for complex, unstructured enterprise or scientific data.

• Proficiency with Go or Python, and familiarity with FastAPI, TypeDB or TypeQL, Qdrant, GitHub Actions, OpenTelemetry, or Prometheus.

• Experience designing production security controls and establishing architectural practices; biotech data, computational biology, or compliance experience is a plus.

• Authorized to work in the United States without visa sponsorship or transfer.

Compensation & Benefits

Annual salary range: $220,000 to $300,000 USD. Visa sponsorship is not available.

Location

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