Partner with product owners, developers, architects, and cross-functional teams to understand business and technical requirements and translate them into comprehensive test strategies, test cases, automation coverage, and release validation plans.
Design, develop, and maintain scalable automated test frameworks and test suites across UI, API, service, integration, data, event-driven, end-to-end, regression, performance, and deployment validation layers.
Drive quality engineering best practices by integrating automated tests into CI/CD pipelines, improving test reliability, reducing manual validation effort, and enabling faster, safer releases.
Validate distributed, high-volume, and event-driven systems, including message flows, data integrity, service contracts, resilience, observability, operational readiness, and failure recovery scenarios.
Use AI-assisted engineering tools such as GitHub Copilot or equivalent to improve test design, automation development, test coverage, documentation, regression support, defect analysis, troubleshooting, and engineering productivity while maintaining ownership for correctness and quality.
What's Needed?
Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field, or equivalent practical experience.
8+ years of experience in software testing, test automation, software development, or quality engineering for enterprise applications in highly available, high-volume environments.
Hands-on experience designing, developing, and maintaining automated test frameworks using one or more modern programming languages and test automation ecosystems.
Strong experience with API testing, UI automation, service validation, integration testing, end-to-end testing, regression automation, test data validation, and release validation practices.
Experience validating cloud-native, containerized, distributed, or service-based applications deployed on platforms such as PCF, Kubernetes, Docker, GCP, AWS, Azure, or comparable enterprise platforms