Staff Software Engineer, Scientific System of Record
Core
Building the next-generation AI-driven scientific platform and the 'Scientific System of Record' memory layer that connects scientific intent to physical reality, ensuring reproducibility and closing the Design-Build-Test-Learn loop.
Role type
Staff Software Engineer (Full-stack)
Builds
High-performance user interfaces, services, APIs, databases, and reliable systems integrating AI frameworks with scientific analytics and lab workflows.
Domain
Life sciences / AI / Data-intensive research
Deliverable
production ML models | product features | infrastructure
Required skills
TypeScript, React, Python, SQL, NoSQL, vector databases, RESTful/GraphQL API design, system design, performance optimization, cloud infrastructure, Kubernetes, DevOps practices, AI coding assistants.
Preferred skills
AWS/GCP/Azure, orchestration tools (Flyte, Temporal, Airflow, Prefect), LIMS/ELN/data platform experience, regulated workflow systems.
Technologies
React, TypeScript, Python, SQL, NoSQL, vector databases, AWS, Kubernetes, Terraform, GitHub Actions, Flyte, Temporal, Airflow, Prefect
Responsibilities
Design and build high-performance, secure UIs and APIs; develop schemas and manage diverse data systems (SQL, NoSQL, vector DBs); drive front-end and backend service implementation; diagnose and resolve system bottlenecks; leverage cloud services to deploy production-grade systems; collaborate with ML researchers and scientists to integrate data pipelines.
Seniority
Staff, hands-on IC with strategic impact