Roles and Responsibilities:

· Develop and maintain comprehensive test cases, ensuring thorough coverage of software features.

· Execute test procedures and automated suites, collaborating with automation developers.

· Translate business requirements into test strategies and traceable activities.

· Collaborate with Product Owners and development teams to create Test Plans.

· Enhance testing strategies using Generative AI tools and automate test case generation.

· Foster strong cross-functional collaboration with QA, DevOps, and development teams.

· Adhere to Agile processes and QA best practices for high-quality releases.

· Conduct testing activities such as Acceptance, Regression, Functional, Integration and Performance testing.

· Perform problem identification, root cause analysis, and resolution documentation with trace-level logs.

· Identify testing dependencies and risks, planning end-to-end system cycles.

· Lead project tasks and mentor junior team members.

· Engage in design discussions to offer insights on testability and quality.

Minimum Requirements:

· Bachelor’s degree in engineering (Computer Science and Electronics) with exposure to IT / Programming topics (Required).

· 3-5 years of manual testing experience (Required).

· Experience in hardware/software testing environments (Desired).

· Familiarity with test automation frameworks (Desired).

· Proficiency in Python (Desired).

· Experience with Test Management systems, e.g., Testray (Required).

· Hands-on experience with Linux, GitHub, or Git repositories (Desired).

Key Skills and Competencies:

· Ability to independently determine technical solutions for tasks.

· Strong analytical skills for designing test cases based on user stories.

· Proficient in manual and automated testing methodologies.

· Understanding of the software development lifecycle and Agile practices.

· Experience with various testing types and globally distributed teams.

· Effective collaboration with cross-functional teams.

· Problem-solving skills for accurate root cause analysis and resolution.

· Strong communication skills to update stakeholders on testing progress.

· Quick feedback capability during testing to support agile development.

· Self-motivated with a commitment to continuous improvement.

· System architecture understanding for integrating testing activities.

· Curiosity and technical mindset for exploring new AI technologies to improve testing processes.