Python Test Engineer

Overview In this role you will design and build tools to verify reliability and performance of ML data pipelines and AI infrastructure. You will embed quality engineering into a distributed platform, collaborating with MLOps and infrastructure teams. You’ll enhance CI/CD, observability, and validation-as-code across the stack. This position offers impact through scalable, reusable quality tooling and mentorship of junior engineers. Join a mission to raise platform quality in a cloud-native, data-driven environment. ResponsibilitiesDesign and build high-performance tools to validate reliability, performance, and correctness of ML data pipelines and AI infrastructureDevelop platform-level test solutions and automation frameworks using Python, Terraform, and cloud-native practicesContribute to CI/CD pipelines by integrating automated testing, resilience checks, and observability hooksLead initiatives to improve testability, platform resilience, and validation as code across the ML platform stackCollaborate with engineering, MLOps, and infrastructure teams to embed quality engineering into platform componentsBuild reusable components that support scalability, modularity, and self-service quality toolingMentor junior engineers and influence technical standards within the Test Engineering Program Key requirementsHands-on experience in Python and AWSExperience with testing tools such as pytest and playwrightExperience with Terraform and cloud-native practicesBackground in software engineering embedded in quality/reliability initiativesAbility to contribute to CI/CD and observability practicesCollaboration with cross-functional teams (engineering, MLOps, infrastructure) to embed qualityCollaborative mindsetMentorshipInfluence technical standardsPythonAWSpytest