Lead Platform Engineer

About the Role

Lead the platform engineering work behind compute, data, AI, and security infrastructure for a biotechnology sequencing operation. You will connect lab systems with cloud services and data pipelines, helping make scientific workflows reliable and scalable.

What You'll Do

• Own services that orchestrate lab devices, including robots, sequencers, and on-premises Linux servers, as well as the data ingestion pipeline.

• Build cloud infrastructure and data pipelines to store, process, and deliver large sequencing datasets.

• Design systems for scheduling and orchestrating large volumes of bioinformatics tasks.

• Develop AI infrastructure and internal tools for operational quality monitoring, logistics coordination, and adaptive bioinformatics analysis.

• Lead ambiguous, cross-functional projects from early definition through production, connecting technical decisions to business impact.

What We're Looking For

• Typically 5 to 10 or more years of relevant engineering experience, with broad technical ownership and strategic problem-solving skills.

• Hands-on experience with Docker, Kubernetes, cloud and on-premises security practices, and Linux server administration.

• Experience managing Linux-based lab infrastructure and using PostgreSQL in data pipelines.

• Familiarity with Python, AWS, and AI or agent tooling is relevant to the technical environment.

• Clear communication, cross-functional leadership, and interest in learning from scientific and biological experts.

Compensation & Benefits

Annual salary range: $205,000 to $235,000 USD. Visa sponsorship is available.

Location

Hybrid role based in South San Francisco, California, United States.