Quick overview
Job description
About the Role
Join the platform engineering team at a data infrastructure company serving scientific and AI-driven workflows. You will lead the architecture and development of a foundational platform that turns diverse laboratory data into a reliable, queryable knowledge base.
What You'll Do
Own the architecture, delivery, security, and scaling of the platform's data and execution layers.
Build and operate ingestion pipelines, APIs, microservices, and storage systems that structure varied scientific data while preserving provenance.
Manage knowledge graph and vector search systems to support combined semantic and structured retrieval.
Develop high-concurrency services in Go and Python, including controls for agent access and isolated execution.
Establish security boundaries for authentication, tenant isolation, secrets, encryption, and zero-trust practices.
Own cloud infrastructure, CI/CD, and observability, and define service objectives and developer workflows.
Set engineering standards through architecture guidance, code reviews, mentorship, and team building.
Partner with company leadership on team design, recruiting, and hiring.
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.
Deep proficiency with Kubernetes, Terraform, Ansible, and modern CI/CD systems.
Experience designing ingestion for messy, multi-source data, including schema harmonization and entity resolution.
Strong Go and Python skills; familiarity with FastAPI, TypeDB or TypeQL, Qdrant, GitHub Actions, OpenTelemetry, and Prometheus is relevant.
Dedicated infrastructure engineering experience alongside software engineering, with the ability to guide architecture and mentor engineers.
Scientific data, computational biology, biotech, or compliance experience is beneficial.
Compensation & Benefits
Base salary is $220,000 to $300,000 annually. Visa sponsorship or transfer is not available.
Location
On-site, five days per week in San Francisco, California. Relocation assistance is available.