QE Test Lead (Warehouse Automation & WES Domain)

Job Description QE Test Lead (Warehouse Automation & WES Domain)

Experience: 810 Years

Location: Hyderabad / Hybrid Role

Type: Individual Contributor + Technical Domain Leader

Mandatory question for candidates: what work they have done on the Material Handling Domain, Warehouse Automation / Warehouse execution systems

Role Summary:

We are looking for highly experienced QE Test Leads with deep domain expertise in Material Handling Systems (MHS), Warehouse Execution Systems (WES), and Warehouse Automation to lead quality engineering across complex softwarehardware integrated automation solutions. This role goes beyond traditional test leadership. The QE Test Lead is expected to act as a domain enabler and mentor, elevating the overall domain maturity of the QE team, which is currently a known gap. The ideal candidate will: Own endtoend quality for WES and automation solutions Enable and upskill testers on domain workflows, automation logic, and failure modes Drive a highautomation, AIassisted QE strategy with minimal manual testing Lead complex softwaretohardware integration testing involving robotics, controls, PLCdriven systems, and thirdparty vendors Key Responsibilities

1. Domain Leadership & Team Enablement (MOST CRITICAL) Act as the domain SME for: Warehouse Execution Systems (WES) Material Handling Systems (MHS) Warehouse Automation and Robotics Enable QE teams to deeply understand: Inbound, outbound, replenishment, picking, packing, sortation, storage, and exception flows Physical vs logical inventory state mismatches Control system handshakes, acknowledgements, and retries Build and continuously refine: Domain playbooks Endtoend scenario matrices Failure mode catalogs (happy + unhappy paths) Mentor manual and automation testers to: Design domaincorrect test scenarios Avoid shallow, UIonly or APIonly testing Actively reduce dependency on a few domain experts by scaling domain knowledge across the team

2. EndtoEnd SoftwareHardware Integration Testing Lead testing across multisystem, multivendor automation landscapes, including: WES WMS / Host systems WES Robotics / Controls WES Peripheral automation Handson experience validating integrations with: Robotics vendors: Geek+, AutoStore, NuMove, Movu, Ceratech Peripheral systems: PANDA (Print & Apply) PicktoLight (PTL) Scanners, conveyors, sorters, VLMs Validate: Message sequencing, acknowledgements, retries, and error recovery Partial failures, degraded modes, and recovery scenarios Latency, throughput, and concurrency impacts Test across: API UI Database Desktop / Control interfaces

3. AutomationFirst QE Strategy (Maximum Automation, Minimal Manual) Own and enforce an automationfirst mindset Identify and eliminate unnecessary manual testing Design endtoend automated scenarios that cover: Business workflows Integration points Failure and recovery paths Drive automation across: UI (Angularbased apps) APIs (microservices) Workflow engines Backend validations Ensure automation is: Stable Maintainable Scalable across projects Tools & Frameworks: Subject7 (Enterprise automation) Playwright Selenium Python scripting for test utilities and data setup

4. Performance, Reliability & NonFunctional Testing Lead performance and scalability testing for WES and automation solutions Design performance scenarios aligned to real warehouse workloads, including: Peak throughput Concurrent waves Robotics saturation Message backlogs Validate: System stability under load Memory leaks, thread starvation, and message pileups Longrunning endurance and soak tests Drive reliability testing: Failover Restart scenarios Partial system outages Performance Tools: JMeter k6

5. AIEnabled Quality Engineering Leverage AIassisted testing approaches, especially for: Test case generation Automation optimization Test coverage analysis Use AI to: Reduce manual effort Improve scenario completeness Accelerate automation creation Stay current with emerging AIdriven QE practices and apply them pragmatically

6. Test Strategy, Governance & Stakeholder Engagement Own QE strategy for assigned products / programs Review and approve: Test plans Automation strategies Regression approaches Ensure strong traceability using: Jira Xray Proactively communicate: Quality risks Release readiness Domainspecific concerns Partner closely with: Architects Product owners Engineering leads Client stakeholders Technology Stack Application & Platform Spring Boot (Microservices) Camunda (Workflow orchestration) Angular 18 (UI) Testing & QE Jira Xray Subject

7 Playwright Selenium JMeter k6 Python (scripting & utilities) Required Skills & Experience MustHave 810 years in Quality Engineering Strong, handson domain experience in: Warehouse Automation WES / WCS / MHS Proven experience leading softwarehardware integration testing Strong automation background with realworld implementation Solid performance testing experience Experience enabling and mentoring QE teams on domain concepts NicetoHave Prior experience in automationheavy warehouse programs Exposure to PLC / control system concepts (no coding required) Experience with AIassisted testing approaches Clientfacing experience in automation programs What Success Looks Like in This Role QE team demonstrates strong domain understanding, not just test execution Significant reduction in domainrelated defect leakage Automation coverage increases release over release Manual testing effort reduces without quality compromise QE is seen as a domain partner, not a downstream function