Linux · AI
ABOUT THE ROLE
Lead platform engineering for the compute, data, AI, and security infrastructure behind a biotechnology sequencing operation. You will combine hands-on engineering with technical leadership to build reliable systems that support lab operations and scientific data processing.
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 volumes of sequencing data.
- Design reliable orchestration and scheduling systems for large-scale bioinformatics workloads using queues, workflows, and state machines.
- Build AI infrastructure and internal tools for agentic systems that monitor quality, coordinate logistics, and support adaptive bioinformatics analysis.
- Lead cross-functional projects from problem definition through production, connecting architectural decisions to operational and business outcomes.
- Mentor teammates and contribute directly to platform and backend engineering work.
WHAT WE'RE LOOKING FOR
- At least 5 years of experience in platform, backend, or infrastructure engineering, with a strong individual-contributor focus.
- Strong AWS orchestration experience, including ECS, Batch, and Step Functions, plus Python backend development with FastAPI or Django.
- Experience administering Linux servers and building production distributed systems, including task queues such as Celery or SQS.
- Experience scaling systems in a fast-growing startup env