Teams at 73 Strings

Build and own test infrastructure for distributed financial-data services, including frameworks, CI/CD execution, ephemeral Kubernetes environments, contract and end-to-end testing, performance testing, test-data management, and quality signals. Develop testing approaches for AI-enabled features using probabilistic assertions and evaluation harnesses. Improve reliability and reduce flakiness, establish engineering-wide testing practices, enable teams through tooling and documentation, and partner with SRE and AI evaluation engineers.

Own and deliver the foundational data platform and core data products: translate strategy into shipped pipelines and products, establish product practices (intake, contracts, SLAs), manage roadmap and prioritization, produce high-quality requirements, and drive adoption and business impact across distributed engineering teams.