Teams at TetraScience

Architect and evolve cloud-native platform core services for high-throughput, low-latency data processing. Design scalable distributed systems for auth, metadata, governance, event processing; build infra-as-code, CI/CD, observability, and compliance-grade governance features while partnering with product and engineering teams.

Lead the development of a scientific search platform integrating AI/ML capabilities for advanced search functionalities, guiding engineering efforts in building scalable, production-grade systems.

Own and build the documentation-as-system: docs-as-code repo, CI/CD publishing pipelines, AI-augmented authoring and validation workflows, and agent-consumable content. Generate reference docs from API specs, run SME review and release notes cadence, maintain style guide and runbooks, and enable internal contributors to ship docs through automation and tooling.