Help & Supportcareers@gravityer.com
Senior Automation Engineer with 8+ years in QA, Python, and Embedded Testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced QA Automation Engineer with a strong background in designing and implementing automated test frameworks, performing regression and API testing, and driving continuous improvement in software quality. Proven ability to collaborate with cross-functional teams, track defects using tools like Jira, and optimize testing processes, including a 40% reduction in regression testing time through automation. Skilled in various testing methodologies, automation tools, and protocols, with contributions to AI-driven test case generation and defect resolution.
Gujarat Technological University
Bachelor of Engineering · Electrical & Electronics
N/A – June 30, 2021
System Level Solutions
QA Automation Engineer- III
January 1, 2021 – Present
India
Rhino Machines pvt. ltd.
Jr. Electrical Engineer
June 1, 2018 – January 1, 2021
India
Cultural Fit Analysis
The candidate's experience spans both QA automation and a prior role in electrical engineering, indicating a diverse background. The current role involves collaboration with Dell clients and cross-functional teams, suggesting adaptability and teamwork. The mention of participating in agile ceremonies and using AI tools points to a proactive and modern approach to work. However, the project diversity is somewhat limited to embedded and IoT testing within a single company for the QA role. The transition from electrical engineering to QA automation shows a capacity for learning and career pivot, which can be a positive cultural indicator for growth-oriented environments.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, working with cross-functional teams, developers, and product managers. Experience in agile ceremonies (Sprint planning, stand-ups, retrospectives) indicates good operational fit within an agile development environment. The ability to communicate directly with clients and assist in root cause analysis shows problem-solving and stakeholder management capabilities. The use of AI tools for test generation suggests an openness to adopting new technologies and improving efficiency.