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Senior, niche AI-platform SDET at a mid-tier employer reduces applicant competition in Bangalore.
Role requires ML platform and SDET-specific expertise, limiting cross-industry transferability.
Explicit 8+ years plus required SDET/platform expertise and mandatory tech stack increases shortlisting strictness.
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Own end-to-end quality assurance for Tekion's AI Platform services including feature pipelines, model training/serving infrastructure, deployment, and LLM gateways.
Design and implement automated testing frameworks and validation for correctness, performance, scalability, and reliability of AI platform components under load.
Leverage AI/LLM technologies to accelerate test generation, automation, and drive root cause analysis for platform issues while partnering with engineering teams on preventive improvements.
8+ years experience in software development engineering in test (SDET), quality engineering, or software engineering with automation framework expertise.
Proficient in Python and/or Java/Go programming for production quality automation and tooling.
Experience testing distributed systems, APIs, data pipelines, or ML/data platforms including performance, load, and scalability testing.
Familiarity with CI/CD, infrastructure as code, containers (Docker, Kubernetes), cloud platforms (AWS, GCP, Azure), and understanding of ML lifecycle components or equivalent platform-testing experience.
Experienced in operating within AI or ML platform environments integrating multiple services including feature stores, model registries, and deployment pipelines.
Skilled in advanced testing and observability practices for distributed, multi-tenant, high-throughput SaaS platforms supporting ML workloads.
Demonstrated capabilities in debugging complex infrastructure and data issues with strong collaboration across product, ML engineers, and platform teams.