Description :

Role & responsibilities :

- Contribute to the test strategy, test design, and validation of key components and features across services, APIs, and applications built using Java (Spring), cloud native architectures, and AWS technologies.

- Own end to end quality for assigned systems, including functional, integration, data, and non functional testing.

- Design, develop, and maintain automated test suites (API, service, and UI) as an integral part of the development process.

- Analyze existing architectures and solutions to identify quality risks, gaps, and opportunities for improvement, including performance, reliability, and data integrity concerns.

- Leverage AI assisted development and tools (e.g., Copilot, LLM-based test generation) to accelerate test case analysis, exploratory testing, and defect analysis, while applying sound engineering judgment to validate AI generated outputs.

- Partner with developers during design and code reviews to ensure testability, automation coverage, and maintainable solutions.

- Validate data flows and integrations using SQL and other techniques to ensure accuracy and consistency across systems.

- Monitor production quality signals and contribute to root cause analysis and continuous improvement efforts.

Preferred candidate profile :

- 5+ years of experience in QA, SDET, or Quality Engineering roles in enterprise environments.

- Strong experience testing RESTful APIs and backend services built with Java and Spring.

- Hands on experience building and maintaining automated test frameworks.

- Proficiency with SQL and relational databases such as SQL Server, experience validating data in NoSQL systems such as DynamoDB is a plus.

- Experience testing distributed systems, microservices, and cloud based applications.

- Familiarity with CI/CD pipelines and integrating automated tests into build and deployment workflows (e.g., Jenkins or similar tools).

- Experience using or adopting AI assisted development or testing tools (e.g. copilots) to improve productivity, while maintaining accountability for quality.

- Strong analytical and problem solving skills, with the ability to assess risk and prioritize testing efforts.

- Bachelors degree in Computer Science or a related field, or equivalent practical experience.