Python · Java · C++ · AWS · Kubernetes
ABOUT THE ROLE
Lead platform engineering for a data and infrastructure team building a foundational platform that turns heterogeneous laboratory data into a unified, queryable knowledge base. You will own its architecture, security, and scale, helping scientists and AI agents work with reliable, well-governed data.
WHAT YOU'LL DO
- Set the architectural direction and build production ingestion pipelines, APIs, microservices, and storage layers that normalize diverse scientific data while preserving provenance.
- Operate knowledge graphs and vector search systems to support hybrid symbolic and semantic retrieval.
- Build high-concurrency services in Go and Python, including controlled agent write boundaries and isolated execution environments.
- Design service authentication, tenant isolation, secrets management, encryption, and other zero-trust security controls.
- Own Kubernetes infrastructure, infrastructure as code, CI/CD, and observability, and establish SLOs and internal developer pathways.
- Set engineering standards through architecture, code reviews, mentorship, and support for building the platform team.
WHAT WE'RE LOOKING FOR
- At least 5 years of platform or infrastructure engineering experience, with a track record building and operating production backend infrastructure, data platforms, or distributed systems.
- Strong experience with Kubernetes, Terraform, Ansible, and modern CI/CD systems.
- Experience architecting ingestion for messy, multi-source data, including schema harmonization and entity resolution.
- Proficiency with Go and P