Platform Engineering Lead | AI Infra
Hybrid (San Francisco)$205k - $235kFull-timePosted 5mo ago
About the role
Technical lead + manager for the compute, data, AI, and security infrastructure that runs our sequencing operation.
Responsibilities
- Own core services that orchestrate lab devices (robots, sequencers, on-prem Linux servers) and the data ingestion pipeline
- Build cloud infrastructure and data pipelines to house, process, and deliver terabytes of sequencing data
- Design infrastructure to orchestrate millions of bioinformatics tasks (queues, workflow orchestration, scheduling)
- Build AI infrastructure and internal tooling to enable agentic systems:
- - Quality Scientist Agents - monitor operations end-to-end, surface anomalies, and intervene/escalate when quality or reliability issues appear
- - Logistics Agents - coordinate drivers around the world to move packages to labs and carriers
- - Bioinformatics Coding Agents - long-running agents for adaptive analysis of diverse sample types with unknown/shifting data distributions
Qualifications
- BS in Computer Science, Computer Engineering, Math, Physics or technical subject
- 7+ years of industry experience (or equivalent)
- Prior experience leading projects and mentoring engineers (people or technical leadership)
- Experience building LLM/agent systems (tooling, evaluation, safety/permissions, prompt + workflow design)
- Primarily developing with coding agents in all parts of software lifecycle - design, implementation, test, review
- Strong experience with REST API best practices (such as OpenAPI) and service-oriented architectures
- Strong experience with SQL and data modeling in relational databases (postgres)
- Strong experience with Python backend services (e.g., Flask/Django/FastAPI)
- Strong experience working in AWS for containerized task orchestration (Lambda, ECS, Batch, StepFunctions)
- Experience with infrastructure-as-code tools, like Terraform or AWS CDK
- Experience building distributed systems with task queues (such as Celery and SQS)
- Experience working with Linux servers (systemd services, basic networking, application deployment tools like ansible)
- Comfort operating production systems: incident response, debugging, performance, reliability
- Desire to learn about DNA sequencing bioinformatics algorithms and workflows
Skills
Required:Infrastructure orchestrationData pipeline designTask orchestration / queuesLLM / agent systems
Benefits
- Equal opportunity employer
- Careers email provided for accommodations
- Opportunities to work on cutting-edge AI infrastructure in biotech
Last updated Aug 27, 2026. Interested? Apply on the company site.
About Plasmidsaurus
Sequence Everything
Sequence everything.
RNA-SeqPlasmidsAmpliconsGenomesAAVMicrobiomeCustom
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