Lead Platform Engineer

About the Role

Join the platform engineering team at a data infrastructure company building tools that turn fragmented laboratory data into a unified, queryable resource for scientists and AI systems. As the senior engineering anchor, you will shape the architecture, security, and scale of this foundational platform.

What You'll Do

• Own the platform's architecture, execution, security posture, and scaling strategy.

• Build and maintain production ingestion pipelines, APIs, microservices, and storage layers that normalize diverse scientific data while preserving provenance.

• Manage knowledge graphs and vector search systems to support combined semantic and structured retrieval.

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

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

• Own cloud infrastructure, CI/CD, and observability, and establish service-level objectives and internal developer workflows.

• Set engineering standards, review code, mentor teammates, and help grow the platform engineering team.

• Partner with company leadership on team design, interviewing, and recruiting as the organization scales.

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

• Proficiency with Go and Python or FastAPI, plus experience with knowledge graphs or vector search technologies.

• Experience designing production security boundaries and establishing engineering practices, observability, and service-level objectives.

• Dedicated infrastructure engineering experience in addition to software engineering; biotech data systems, computational biology, and SOC 2 or similar compliance experience are a plus.

Compensation & Benefits

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

Location

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