About the role
- Analyse user stories, use cases, and requirements for validity and feasibility.
- Develop and execute comprehensive test scenarios for multi-tier architecture and distributed systems.
- Perform functional, integration, regression, system, smoke/sanity, installation, and upgrade testing.
- Evaluate application performance, usability, and reliability through manual and automated testing.
- Execute test cases with attention to database impact, edge cases, and error-handling scenarios.
- Perform debugging and root cause analysis across various layers of the tech stack.
- Test web and mobile applications as well as RESTful APIs.
- Document test plans, procedures, and results while reporting anomalies and bugs.
- Collaborate with cross-functional teams including developers, DevOps, SREs, and product managers.
- Leverage tools like Jira, YouTrack, and Kibana for defect tracking and log analysis.
- Use API testing tools such as Postman and Insomnia.
- Utilize Metabase for data validation and test-related insights.
- Apply performance testing techniques using JMeter and conduct reliability and scalability testing.
- Engage in automation on a need basis and incorporate AI-driven test case generation. tools like TestCraft to enhance productivity and meet deadlines efficiently.
- Manage cloud-based logs and metrics using Google Cloud Storage (GCS).
Qualifications:
- Bachelor’s or master’s degree in computer science, engineering, or a related technical field.
- Minimum 1 year of experience relevant to QA Engineering.
- ISTQB Certified.
- Strong understanding of SDLC and STLC.
- Proficiency in reviewing functional and technical design documentation.
- Ability to communicate effectively across teams and document technical trade-offs.
- Good analytical, logical, and problem-solving skills.
- Adaptive team player with the ability to thrive in a fast-paced environment.