Plasmidsaurus
Platform Engineering Lead (AI Infra)
San Francisco
Sponsorship not specifiedDetected 85 days ago
PythonDjangoFastAPIFlaskDistributed SystemsBackend DevelopmentAlgorithmsSQLPostgreSQLAWSCloud PlatformsTerraformAnsibleLinuxPlatform EngineeringRESTOpenAPIData EngineeringLLMsAgentic AIAI OrchestrationIncident ResponseLogisticsBioinformatics
About the role
- Our sequencing services are used daily by thousands of innovators, including Nobel laureates, Fortune 100 pharma, and over 70,000 scientists.
- We began by revolutionizing plasmid sequencing, making it exponentially cheaper and faster, with innovative sequencing technologies and a global network of laboratories that turn samples into answers in hours, not weeks.
- Every team member at Plasmidsaurus plays a crucial role in driving the future of biotech research.
Responsibilities
- Together, we are building the world's most efficient sequencing engine that operates overnight, scales globally, and helps scientists make breakthroughs faster than ever before.
- Technical lead + manager for the compute, data, AI, and security infrastructure that runs our sequencing operation.
Requirements
- 7+ years of industry experience (or equivalent)
- 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)
- Experience with infrastructure-as-code tools, like Terraform or AWS CDK
- Experience working with Linux servers (systemd services, basic networking, application deployment tools like ansible)
- Comfort operating production systems: incident response, debugging, performance, reliability
- BS in Computer Science, Computer Engineering, Math, Physics or technical subject
- 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 working in AWS for containerized task orchestration (Lambda, ECS, Batch, StepFunctions)
- Experience building distributed systems with task queues (such as Celery and SQS)
Company info
- Now we are expanding that same disruptive model across all of genomics.
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