Platform Engineering Lead – AI Infra

Plasmidsaurus

Technical lead managing compute, data, AI, and security infrastructure at Plasmidsaurus. Driving innovative infrastructure for sequencing operations that impact biotech research.

Posted 4/29/2026full-timeSan Francisco • California • 🇺🇸 United StatesSenior💰 $205,000 - $235,000 per yearWebsite

Tech Stack

Tools & technologies

AnsibleAWSCloudDistributed SystemsDjangoFlaskLinuxPostgresPythonSQLTerraform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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.

Benefits

Comp & perks

Note: we have set up limits for applications for this role:
- Candidates may not apply to Plasmidsaurus more than 2 times in any 60 day span, and may not re-apply to the same role within 30 days.
If you have reviewed the position description and believe your application is a great match, despite having already met or exceeded these limitations, please ask the individual who referred you for the role to forward your application to our hiring team directly.

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Hard Skills & Tools

PythonSQLREST APIbioinformaticsinfrastructure-as-codedistributed systemsdata modelingcloud infrastructuredata pipelinesLinux

Soft Skills

project leadershipmentoringcommunicationproblem-solvingincident responsedebuggingperformance optimizationreliability engineering