Lead Platform Engineer

Coffeespace Inc — United States · Posted ~22 hours ago

Lead Full-time Hybrid Visa Sponsored $205000-$235000 base + equity

Skills

platform engineering cloud infrastructure data engineering distributed systems bioinformatics infrastructure AWS Python PostgreSQL bioinformatics

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Summary ✨ AI‑Generated

Join a fast-growing life-sciences technology company as a Lead Platform Engineer and build infrastructure for extremely data-intensive computational workloads. You will help scale systems that move massive datasets into large numbers of bioinformatics jobs, with a hybrid working model, equity participation, and case-by-case visa sponsorship.

Highlights

Lead platform engineering for a rapidly growing technology environment, with substantial compensation, equity, hybrid flexibility, and visa sponsorship considered case by case. The role involves large-scale data movement and infrastructure supporting high-throughput computational workloads.

Description

About the job This role is being recruited by CoffeeSpace on behalf of an anonymous, bootstrapped DNA sequencing company with rapid growth and a strong market presence. We’re identifying a small number of exceptional lead platform engineers from our network. If there’s a strong fit, we’ll introduce you directly to the leadership team. Location: South San Francisco, CA / hybrid, with 3 days a week on-site Compensation: $205K - $235K base + competitive equity Employment type: Full-time Visa: Visa sponsorship available on a case-by-case basis, including H1-B transfer About the company This company is renowned for its fast DNA sequencing services, achieving lightning-fast turnaround and publication-grade accuracy. The company has grown to $80M in annual revenue through word-of-mouth alone, without venture backing, and is currently experiencing 30% month-over-month growth. Their operations involve shuttling terabytes of data from robots and sequencers into millions of bioinformatics tasks, supported by a robust compute cluster and significant AWS investment. Their clientele includes Nobel prize winners, biotech startups, and research labs worldwide. About the role As the Lead Platform Engineer, you will be the technical lead for the compute, data, AI, and security infrastructure supporting the sequencing operations. What You’ll Do Own core services that orchestrate lab devices and manage the data ingestion pipelineBuild cloud infrastructure and data pipelines for processing and delivering sequencing dataDesign systems to orchestrate bioinformatics tasks, including workflow orchestration and schedulingDevelop AI infrastructure and internal tooling to support agentic systems for quality monitoring, logistics coordination, and adaptive bioinformatics analysis Why This Role Is Compelling Join a fast-growing company with significant market traction and no venture backinWork on cutting-edge bioinformatics and AI infrastructureDirectly impact the scientific community through innovative sequencing solutionsCollaborate in a tight-knit, fast-paced environment with a motivated team The Ideal Candidate 6+ years of experience in a technical leadership roleProficient in Python, AWS, Postgres, Kubernetes, Linux, and LLM toolingEnjoys high agency and ownership in projectsExcited to learn from and contribute to scientific and biological domainsValues clear communication and mentorship This Role Is NOT For You If You prefer a purely internal engineering role with no cross-functional projectsYou are not interested in working in a fast-paced, high-growth environmentYou require new visa sponsorship not covered by the company Next steps 1. Apply via this LinkedIn job post2. We’ll review and reach out if there’s a strong match3. If aligned, we’ll introduce you directly to the team4. If this role isn’t the right fit, we may suggest and make introductions to other high-signal startup roles we’re recruiting for, always with your permission A quick note on authenticity This is a real, active role that CoffeeSpace is recruiting for in close partnership with the hiring team. We don’t post speculative roles and work directly with teams on their actual hiring needs.