Software Development Engineer in Test - III

GreyOrange; Gurugram District; Vor Ort; INR 1.100.000 - 1.700.000; Vollzeit

Zusammenfassung

GreyOrange seeks an SDET III to build scalable intelligent quality engineering systems for next-generation warehouse automation products. The role focuses on validating AI/ML workflows, Agentic AI systems, and autonomous decision pipelines, while developing internal utilities to streamline manual QA efforts.

You will design automation frameworks, validate APIs and data pipelines, and collaborate with Product, Software Engineering, and AI/ML teams to drive quality improvements and operational

Qualifikationen

• 5-8 years of progressive experience in SDET or QA Automation roles within fast-paced product engineering environments.
• Strong programming and scripting proficiency in Python and Java.

Aufgaben

• Framework Development and Automation: Design, develop, and maintain scalable automation frameworks and intelligent testing utilities.
• AI/ML Validation: Validate complex AI/ML workflows, Agentic AI systems, APIs, and data pipelines.
• Process Efficiency: Build automation utilities and tools to eliminate manual QA efforts and drive operational productivity.
• Backend and System Testing: Perform comprehensive API, backend, database, and system-level validation.
• Cross-Functional Collaboration: Partner closely with Product, Software Engineering, and AI/ML teams during early design and development phases.
• Debugging and Support: Troubleshoot complex system issues and act as the first line of technical debugging for development teams.

Kenntnisse

Python

Java

Test automation

Unix/Linux

Tools

PyTest

Selenium

Robot Framework

Postman

Jobbeschreibung

GreyOrange is seeking an SDET III (AI/ML and Agentic Systems) to build and scale intelligent quality engineering systems for our next-generation warehouse automation products. This role goes beyond traditional test automation, focusing on validating AI/ML-driven workflows, Agentic AI systems, autonomous decision-making pipelines, and developing internal utilities that streamline manual efforts and improve engineering efficiency.

Responsibilities

• Framework Development and Automation: Design, develop, and maintain scalable automation frameworks and intelligent testing utilities.
• AI/ML Validation: Validate complex AI/ML workflows, Agentic AI systems, APIs, and data pipelines.
• Process Efficiency: Build automation utilities and tools to eliminate manual QA efforts and drive operational productivity.
• Backend and System Testing: Perform comprehensive API, backend, database, and system-level validation.
• Cross-Functional Collaboration: Partner closely with Product, Software Engineering, and AI/ML teams during early design and development phases.
• Debugging and Support: Troubleshoot complex system issues and act as the first line of technical debugging for development teams.
• Quality Innovation: Participate in Agile cycles, driving continuous improvements in automation, validation, and intelligent testing practices.

Requirements

• 5-8 years of progressive experience in SDET or QA Automation roles within fast-paced product engineering environments.
• Strong programming and scripting proficiency in Python and Java.

AI/ML And Domain Expertise

• Hands-on experience working with AI/ML-based systems or intelligent automation platforms.
• Exposure to Agentic AI workflows, LLM-based architectures, or autonomous agents.
• Demonstrated track record of creating custom tools and utilities to automate complex manual workflows.

Technical And Automation Toolkit

• Strong foundational knowledge of API testing, backend validation, and framework architecture.
• Hands-on expertise with tools such as PyTest, Selenium, Robot Framework, Postman, or similar technologies.
• Proficient in Unix/Linux environments, shell scripting, and database validation (SQL).

Analytical Skills

• Strong analytical, debugging, and problem-solving mindset with attention to system details.

Preferred Qualifications

• MLOps and Data: Exposure to MLOps pipelines, AI validation frameworks, or large-scale data testing.
• Cloud and Distributed Systems: Experience testing cloud platforms and distributed architectures.
• Domain Experience: Prior domain knowledge in warehouse automation, robotics, or supply chain execution systems.