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Senior, specialized SDET role at a known startup with metro hiring and broad QA demand.
Strong ML platform focus and SDET specialty mean limited transferability across non-ML domains.
Requires 8+ years, specific SDET/platform testing skills, cloud, container, and ML-fluency.
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Own end-to-end quality engineering for Tekion's AI Platform including feature pipelines, training and serving infrastructure, and AI model services.
Design and implement automated testing frameworks for platform APIs, SDKs, services, and infrastructure to validate correctness, performance, scalability, and reliability.
Utilize AI/LLMs to accelerate test generation and automation while defining quality metrics and lead root cause analysis for platform issues.
8+ years experience in SDET, quality engineering, or software engineering with automation framework development for platform or backend services.
Proficient in Python and/or Java/Go for production-quality automation and tooling.
Experience testing distributed systems, APIs, data pipelines, or ML/data platforms, including performance and scalability testing.
Familiarity with CI/CD, containers (Docker, Kubernetes), cloud platforms (AWS/GCP/Azure), and ML lifecycle components or strong ML platform testing background.
Experienced in automated quality engineering within AI/ML platform environments, specifically handling complex data flows and feature/model lifecycle validation.
Skilled in developing scalable testing and evaluation frameworks for high-throughput, multi-service AI infrastructure.
Capable of using advanced tools including AI/LLMs for test automation and performing deep root cause analysis across infrastructure and service layers.