About the Role

Lead platform engineering for a scientific data infrastructure team building a foundational platform that turns diverse laboratory data into a unified, queryable knowledge base. You will own its architecture, security, and scale while establishing engineering practices and helping grow the team.

What You'll Do

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

Operate knowledge graphs and vector search systems to support hybrid symbolic and semantic retrieval for agentic workloads.

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

Design security controls for service authentication, tenant isolation, secrets, encryption, and zero-trust access.

Own Kubernetes-based cloud infrastructure, infrastructure as code, CI/CD, observability, SLOs, and internal developer workflows.

Set engineering standards through architecture reviews, code reviews, mentoring, and team building.

Partner with company leadership on engineering hiring and platform team growth.

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 hands-on experience with Kubernetes, Terraform, Ansible, and modern CI/CD systems, alongside dedicated infrastructure engineering experience.

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

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

Experience establishing security boundaries and engineering rigor for production platforms; biotech data experience and SOC 2 or similar compliance experience are beneficial.

Compensation & Benefits

Base salary: $220,000 to $300,000 annually. Visa sponsorship or transfer is not available.

Location

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