SDET
True Tech professionals
Experience
3-9 Yrs
Salary
Not disclosed
Job type
Full Time
Work mode
On-site
Skills
- python
- playwright
- warehouse automation
- agentice ai
- regression testing
- warehouse workflows
Job description
QA Engineer / SDET – Intelligent Warehouse Systems
Experience: 3–5 Years
About the Role
We are seeking a highly skilled and hands-on QA Engineer / SDET with strong exposure to warehouse and fulfillment systems. The ideal candidate should understand real-world warehouse operations and be capable of applying that knowledge to automation, regression testing, and validation of intelligent decision-driven systems.
The platform under test manages warehouse workflows, inventory movement, and autonomous operational decision-making. Since these systems directly impact physical warehouse operations, quality, reliability, and regression safety are mission-critical.
This role requires mandatory experience in warehouse systems, strong Python automation expertise, hands-on Playwright experience, and proven ownership of regression testing for complex operational workflows.
Key Responsibilities1. Regression Testing Ownership
Own and maintain end-to-end regression suites for warehouse-critical workflows.
Identify and safeguard business-critical warehouse flows, including:
Order lifecycle management
Inventory state transitions
Task creation, assignment, and completion
Ensure regression coverage detects:
Workflow failures
Decision-logic side effects
Downstream operational impacts
Build and maintain stable, CI/CD-ready regression suites.
2. Warehouse Workflow Validation
Validate real-world warehouse processes such as:
Inbound → Putaway → Replenishment
Picking → Packing → Shipping
Returns and exception handling
Verify accuracy of:
Inventory movement
Order and task state transitions
Workflow sequencing
Execute tests under realistic warehouse conditions, including:
Order spikes and peak loads
Partial task failures
Capacity and resource constraints
3. Testing Agentic / Decision-Driven Systems
Test intelligent systems that autonomously make and execute operational decisions, including:
Order prioritization
Task assignment and reassignment
Inventory movement and dynamic re-planning
Validate that system decisions:
Respect warehouse constraints
Remain consistent and predictable
Recover safely from execution failures
Design scenario-based test cases focused on:
Decision changes
State transitions
Fallback and recovery behavior
Treat decision-making logic as regression-critical functionality.
4. Python-Based Automation
Develop scalable and maintainable automation frameworks using Python.
Automate:
Backend APIs
Core warehouse workflows
Decision-driven scenarios and regressions
Build reusable utilities for:
Test data setup
State validation
End-to-end scenario verification
Convert high-impact manual test cases into long-term automated coverage.
5. UI Automation with Playwright
Use Playwright to automate critical operational UI workflows, including:
Order operations
Inventory dashboards
Warehouse control screens
Include UI automation in regression suites for:
High-risk operator actions
Critical operational visibility
Ensure UI reflects accurate backend and warehouse states.
Develop stable, reliable, and non-flaky Playwright automation suites.
6. Integration & Data Validation
Validate consistency across:
UI
APIs
Database state
Test asynchronous and event-driven system behavior.
Investigate and debug issues using:
Logs
API traces
SQL queries
Report defects with clear warehouse and operational impact analysis.
Mandatory Skills
3–5 years of experience in QA / SDET roles
Hands-on experience with warehouse systems such as WMS, WES, OMS, fulfillment, or logistics platforms
Strong understanding of warehouse workflows and operational constraints
Experience testing agentic or decision-driven systems where the platform:
Autonomously selects actions
Sequences tasks
Adapts to changing operational conditions
Strong hands-on programming experience in Python
Solid experience with Playwright for UI automation
Proven ownership of regression testing and automation strategy
Strong analytical ability to reason about workflows, state transitions, and failure scenarios in warehouse environments
Experience with distributed and event-driven systems
Exposure to robotics, warehouse automation, or industrial systems
Experience debugging multi-service production environments
Familiarity with CI/CD pipelines and modern automation practices
Strong problem-solving and debugging skills
Ability to work in fast-paced operational environments
Strong ownership mindset and attention to detail
Excellent collaboration and communication skills
Passion for building reliable and scalable quality engineering practices
About the company
True Tech professionals