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Senior Platform Engineer (Compute, Data, AI, Security) – Biotechnology

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Lead platform engineering for compute, data, AI, and security infrastructure in biotechnology sequencing. Own lab device orchestration, cloud/data pipelines, and bioinformatics systems. Requires 5+ years in platform/backend engineering with AWS, Python, and distributed systems expertise.

Key Highlights
5+ years of platform/backend/infrastructure engineering experience
Ownership of production systems at a scaling startup
Strong AWS orchestration (ECS, Batch, Step Functions) and Python (FastAPI/Django) expertise
Key Responsibilities
Orchestrate lab devices (robots, sequencers, Linux servers) and data ingestion pipelines
Build cloud infrastructure and data pipelines for large-scale sequencing data
Design systems for bioinformatics workflow orchestration, queues, and scheduling
Develop infrastructure for AI agents monitoring operational quality and logistics
Lead cross-functional projects from problem definition to production
Technical Skills Required
AWS Orchestration Python (Backend) Distributed Systems
Benefits & Perks
Base salary: $205,000 to $235,000 annually
Visa sponsorship available
Nice to Have
Experience building LLM or agent systems (tools, evaluation, permissions, prompts, workflows)
Mentoring engineers or strong individual-contributor track record

Job Description

About the Role

Lead platform engineering for the compute, data, AI, and security infrastructure behind a biotechnology sequencing operation. You will work across software and scientific teams to build reliable systems that support lab operations and large-scale bioinformatics.

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 systems for orchestrating bioinformatics tasks, including queues, workflow orchestration, and scheduling.

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