Sr. Software Engineer in Test (SET)

We are seeking a highly motivated Sr. Software Engineer in Test (SET) to drive quality engineering excellence through modern test automation, AI-enabled testing practices, and continuous quality innovation across enterprise platforms and applications.

Your Role:

Quality Engineering Leadership

• Demonstrate understanding of end-to-end Supply Chain business processes including Order Management, Procurement, Inventory Management, Warehouse Management, Logistics, Transportation, Fulfillment, Returns Management, and Customer Delivery.

• Design and execute automation strategies for mission-critical supply chain platforms supporting high-volume order processing, inventory visibility, shipment tracking, and fulfillment operations.

• Ensure quality validation of integrations across enterprise supply chain systems including in depth in one of the following :

  • ERP platforms (SAP, Oracle, Dynamics)

  • Warehouse Management Systems (WMS) / Transportation Management Systems (TMS)

  • Order Management Systems (OMS)

  • EDI and B2B integration platforms

• Develop automated test solutions for complex supply chain workflows including:

  • Order-to-Cash (O2C)

  • Procure-to-Pay (P2P)

Test Automation Architecture & Development

• Design and develop scalable automation frameworks using modern technologies including Playwright, Selenium, Cucumber, REST Assured, Appium, and TestNG.

• Build reusable automation libraries, utilities, and accelerators for UI, API, integration, and end-to-end testing.

• Develop test tools, mock services, test data generators, simulators, test beds, and other quality engineering infrastructure components.

• Ensure automation solutions are maintainable, scalable, and integrated into CI/CD pipelines.

AI-Driven Quality Engineering

• Champion adoption of AI-powered testing and automation capabilities across engineering teams.

• Implement AI-assisted test generation, intelligent test selection, self-healing automation, test data generation, and defect prediction capabilities.

• Leverage Generative AI and engineering copilots to improve test coverage, accelerate automation development, and increase engineering productivity.

• Evaluate emerging AI-enabled quality engineering tools and drive innovation initiatives across the organization.

Agile Delivery & Continuous Testing

• Collaborate closely with Product Owners, Architects, Business Analysts, and Development teams to define quality strategies and test approaches.

• Participate in sprint planning, estimation, backlog refinement, and release planning activities.

• Foster and maintain Behavior-Driven Development (BDD) and Test-Driven Development (TDD) practices.

• Plan, execute, and manage sprint-based testing cycles in Agile and Scrum environments.

DevOps, CI/CD & Release Engineering

• Integrate automated testing into CI/CD pipelines and release management processes.

• Support Release Automation and Deployment Automation across multiple application environments.

• Enable continuous quality measurement through continuous integration and continuous testing practices.

• Partner with DevOps teams to improve deployment confidence and release quality.

Cloud, Monitoring & Operational Excellence

• Support testing and quality validation of cloud-native applications and distributed systems.

• Implement testing strategies for applications deployed on AWS, Azure, Cloud Foundry, Kubernetes, and Docker platforms.

• Utilize monitoring, logging, dashboarding, and analytics tools such as Grafana, Kibana, and Elasticsearch for quality analysis and o