Design and build high-performance tools and services to validate the reliability, performance, and correctness of ML data pipelines and AI infrastructure.
Develop platform-level test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices.
Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every stage.
Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack.
Collaborate with engineering, MLOps, and infrastructure teams to embed quality engineering deeply into platform components.
Build reusable components that support scalability, modularity, and self-service quality tooling.
Mentor junior engineers and influence technical standards across the Test Engineering Program.