JOB-1909
A pre-seed biotech software startup is looking for a senior platform engineer to be its engineering anchor. The company is building a core data layer that pulls laboratory information together into one queryable store used by both researchers and AI agents, and this person would set architecture, security and engineering standards for it.
What you’ll own
- The design, delivery, security and growth of the base data platform and the layer where agents execute work
- Production-grade ingestion flows, service APIs and storage that reconcile many differing kinds of scientific data into a graph-structured knowledge base while tracking where every record came from
- Knowledge graphs on TypeDB and vector search on Qdrant, supporting retrieval that mixes symbolic and semantic search for agent workloads
- Go services built for heavy concurrency next to Python APIs, with limited write access for agents and isolated execution sandboxes
- Security built in from the start: authentication between services, tenant separation, secrets handling, zero-trust design and encryption, plus the security roadmap
- Cloud infrastructure with Kubernetes, Terraform and Ansible, CI/CD on GitHub Actions, observability with OpenTelemetry and Prometheus, SLOs and developer-friendly paved paths
- The engineering bar: patterns, code review, mentoring, and eventually building and leading a platform team, including helping recruit its members
Profile
- At least five years running live backend systems, data platforms or large distributed architectures
- Deep command of CI/CD tooling, Kubernetes, Terraform and Ansible
- Owned the design of ingestion for disorganized data arriving from many sources, including schema harmonization and entity resolution
- Experience maturing scrappy early-stage infrastructure into something robust
- Plus: computational biology or biotech data background, or SOC 2 compliance experience
Fully on-site in the San Francisco Bay Area. No visa sponsorship; candidates need existing US work authorization.
