Lead Platform Engineer

About the Role

Join the platform engineering team at a data infrastructure company serving scientific and analytics workloads. You will lead the design and development of a foundational platform that turns diverse laboratory data into a structured, queryable knowledge base for scientists and AI systems.

What You'll Do

• Set the architectural direction, delivery plan, security posture, and scaling strategy for the core data and execution platform.

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

• Manage knowledge graphs and vector search systems to support hybrid retrieval for agent-based workloads.

• Develop 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 cloud infrastructure, CI/CD, and observability, and establish SLOs and reusable developer workflows.

• Set engineering standards through architecture guidance, code reviews, mentoring, and team development.

• Partner with company leadership on engineering team design, recruiting, and hiring as the organization grows.

What We're Looking For

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

• Dedicated infrastructure engineering experience alongside software engineering expertise.

• Strong hands-on skills with Kubernetes, Terraform, Ansible, and modern CI/CD systems.

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

• Proficiency in Go, Python, FastAPI, TypeDB, TypeQL, Qdrant, GitHub Actions, OpenTelemetry, and Prometheus.

• Experience professionalizing early-stage infrastructure and establishing sound engineering practices; computational biology, biotech data systems, or SOC 2 experience is a plus.

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

Compensation & Benefits

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

Location

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