Job Summary
As Software Implementation Engineer you will be at the forefront of the AI-driven warehouse revolution responsible to deliver, test, and support our cutting-edge, Physical AI-driven warehouse automation solutions. This role is the technical heartbeat of our deployments, bridging the gap between our advanced AI software stack Grey Matter AI software (hosted on Google Cloud Platform), robotic hardware (AMRs), and enterprise ecosystems i.e Warehouse Management Systems (WMS Like Manhattan Associates, Blue Yonder, SAP EWM)
The ideal candidate thrives at the intersection of cloud software, robotics hardware, and complex customer operations, ensuring that high velocity & high Volume fulfillment centers transition from installation to peak performance seamlessly.
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%).
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