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Senior Platform Engineer (Biotech Sequencing Infrastructure)

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Key Highlights
5+ years of platform/backend/infrastructure engineering experience
AWS orchestration (ECS, Batch, Step Functions) and Python (FastAPI/Django) required
Hands-on leadership in distributed systems, AI infrastructure, and biotech data pipelines
Key Responsibilities
Design and maintain compute/data/AI/security infrastructure for biotech sequencing
Build cloud/data pipelines and orchestration systems for lab automation
Develop AI tools for operational monitoring and bioinformatics workflows
Lead cross-functional projects from conception to production
Mentor engineers and collaborate with scientific teams
Technical Skills Required
AWS (ECS, Batch, Step Functions) Python (FastAPI/Django) Distributed systems (queues, orchestration)
Benefits & Perks
Visa sponsorship available
Base salary: $205,000–$235,000 annually
Nice to Have
Experience with LLM/agent systems (tooling, safety, prompt design)
Linux server administration and distributed task queues (Celery/SQS)
Background in biotech/scientific applications

Job Description

About the Role

Lead the compute, data, AI, and security infrastructure behind a biotechnology sequencing operation. This hands-on technical leadership role combines platform engineering with close collaboration across engineering and scientific teams to support reliable lab operations and large-scale data processing.

What You'll Do

Own services that orchestrate lab devices, including robotics, sequencers, and on-premises Linux servers, along with the data ingestion pipeline.

Build cloud infrastructure and data pipelines to store, process, and deliver terabytes of sequencing data.

Design queues, workflow orchestration, and scheduling systems to coordinate millions of bioinformatics tasks.

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