Platform Engineering Lead | AI Infra

Position Overview

Technical lead + manager for the compute, data, AI, and security infrastructure that runs our sequencing operation.

You will

• 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

Culture

You are someone who

• Enjoys high agency and high ownership work
• Can lead ambiguous, cross-functional projects from idea to production
• Is curious about learning from other people’s expertise in scientific/biological domains
• Is excited to make an impact on the scientific community
• Is a life-long learner
• Is excited to work in a tight-knit fast-paced environment with a motivated team
• Values clear communication, mentorship, and helping others learn new skills
• Excited about building on the bleeding edge

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

Additional information

We encourage you to apply even if your experience doesn't perfectly align with the job description as we seek out diverse and creative perspectives. Team members who love to learn and collaborate in an inclusive environment will thrive with us. If you need additional accommodations to feel comfortable during your interview process, please let us know at.