Software Development Engineer in Test II

GreyOrange · Gurgaon

Source and collection record

Last observed by our collector: 8 October 2026 at 11:28 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 10277

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Collected role description

GreyOrange is looking for an AI/ML-focused SDET III to build and scale intelligent quality engineering systems for next-generation warehouse automation products. This role goes beyond traditional automation testing and focuses on validating AI/ML-driven workflows, Agentic AI systems, autonomous decision-making pipelines, and automation utilities. The ideal candidate should have strong expertise in test automation, AI/ML systems, backend validation, and building utilities/frameworks that reduce manual effort and improve engineering efficiency. Note: Python is Mandatory Key Responsibilities • Design, develop, and maintain scalable automation frameworks and intelligent testing utilities. • Validate AI/ML workflows, Agentic systems, APIs, and data pipelines. • Create automation utilities to reduce manual QA efforts and improve operational efficiency. • Work closely with Product, Engineering, and AI/ML teams during design and development phases. • Perform API, backend, database, and system-level testing. • Debug complex issues and act as the first level of troubleshooting for development teams. • Participate in Agile development cycles and contribute to continuous quality improvements. • Drive innovation in automation, validation, and intelligent testing practices. Required Skills & Experience • 5-8 years of experience in SDET / QA Automation roles. • Strong programming and scripting skills in Python. • Experience working with AI/ML-based systems or intelligent automation platforms. • Exposure to Agentic AI workflows, LLM-based systems, or autonomous agents. • Experience creating utilities/tools to automate manual workflows. • Strong understanding of API testing, backend validation, and automation frameworks. • Hands-on experience with Selenium, Pytest, Robot Framework, Postman, or similar tools. • Good knowledge of Unix/Linux, shell scripting, and databases. • Strong analytical, debugging, and problem-solving skills. • Ability to work in fast-paced product engineering environments. Good to Have • Exposure to MLOps, AI validation frameworks, or data testing. • Experience working with cloud platforms and distributed systems. • Knowledge of warehouse automation, robotics, or supply chain systems is a plus

Collected experience requirement

3-6 years