Analyze representative customer and test workflows, ensuring appropriate workflow coverage.

Design tooling responsible for categorization and forecasting of cloud capacity needs across growing test infrastructure.

Apply machine learning (ML) strategies to right-size test pools based on demand and capacity while predicting demand spikes.

Build artificial intelligence (AI) agents, tools, and skills that help influence Gemini to solve Big Query problems.

Own the technical goal, scoping, and outcomes for artificial intelligence/machine learning (AI/ML)-driven infrastructure projects, proactively identifying scaling bottlenecks and future work.

Bachelor’s degree or equivalent practical experience.

8 years of experience in software development.

5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

5 years of experience testing, and launching software products.

3 years of experience with software design and architecture.