Python Automation Tester

Key Responsibilities

End-to-End Testing (SIT, UAT & Performance)

• Take formal handover of tested product builds from the engineering / QA teams.
• System Integration Testing (SIT): Plan and execute SIT to validate data integrity between the WMS and Grey Orange, identifying gaps / latency in seamless communication and functional flows.
• User Acceptance Testing (UAT): Translate operational warehouse scenarios into executable test cases; ensure all process flows / functionalities / safety requirements are functioning as per FSD, lead customer super-user training and manage the sign-off process.
• Performance & Scalability: Execute stress and volume testing to validate critical KPIs such as Units Per Hour (UPH), R2R, Nav efficiency, robot utilization, and peak load handling, latency during seasonal spikes.

Go-Live, Hypercare & Post-Production Support

• Cutover Management: Provide onsite and remote support during the critical go-live phase, monitoring system health and troubleshooting live exceptions.
• Hypercare: Drive the resolution of post-launch defects, analyzing Google Cloud Platform logs and system metrics to ensure operational stability.
• Support: Act as the primary technical point of contact for the client s operations team during the transition to steady-state
• Knowledge Transfer: Create SOPs and technical documentation to ensure a smooth transition to the long-term support teams.

Required Skills & Experience

• Hands-on Experience in Quality Assurance with Test Cases, Plan and Test Strategy creation (Manual and Automation)
• Strong understanding of SDLC, STLC, SIT, HAT, and UAT
• Hands-on experience with test case creation and execution.
• Hands-on experience with testing tools and frameworks such as Selenium, JUnit, TestNG, Appium, Cucumber, or Pytest.
• Unix/Linux: Log analysis, command-line debugging, system checks
• SQL: Writing queries for data validation and issue investigation
• Python: Executing and debugging scripts used for testing or automation
• Experience debugging end-to-end system issues in integrated environments.
• Knowledge of Retail or Supply Chain industry will be an added benefit
• Strong problem-solving skills and attention to details

Soft Skills & Attributes

• Problem-Solving: A "hacker" mindset capable of debugging issues across software, network, and physical hardware layers.
• Communication: Ability to explain complex AI-driven logic to both technical engineers and non-technical warehouse floor managers.
• Resilience: Comfortable working in fast-paced, mission-critical environments under tight deadlines.
• Mobility: Willingness to travel to customer sites as required by project phases (approx. 50 80%).