SDET Automation Tester with 4+ years in Test with 4.7 years in Automation & Performance Testing
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Software Development Engineer in Test (SDET) with more than 4+ years of experience in manual and automated testing, ensuring high quality software applications. Skilled in identifying defects, writing test cases, optimizing test suites, implementing testing strategies across various platforms, and collaborating with cross-functional teams. Proficient in Agile methodologies and working collaboratively with development teams to enhance product reliability. Passionate about continuous improvement and dedicated to exceeding client expectations.
Rajiv Gandhi Proudyogiki Vishwavidyalaya
Bachelor of Engineering · Computer Science
August 1, 2016 – June 30, 2020
TATA CONSULTANCY SERVICES
System Engineer
October 1, 2021 – Present
India
Foundation Level (CTFL)
ISTQB Certified Tester
June 1, 2026 – Present
Agile Tester
ISTQB Certified Tester
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at a large service-based company (TATA CONSULTANCY SERVICES) and their involvement in client interfacing and coordinating with offshore teams suggest adaptability to diverse work cultures and team structures. Their certifications (ISTQB Foundation Level and Agile Tester) indicate a commitment to industry best practices and continuous learning. The mention of participating in a client hackathon and receiving a best case study award highlights a proactive and problem-solving mindset, which aligns well with a culture of innovation and excellence.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in managing testing environments, performing root cause analysis, logging defects in JIRA, and coordinating with offshore teams. Their involvement in client interfacing and meeting sprint goals indicates good collaboration and communication skills within an Agile framework. The integration of AI tools suggests a proactive approach to improving productivity and efficiency.