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Lead Automation Engineer with 5+ years in Automation, API, and Kafka Testing
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Lead Engineer with 5+ years of experience in software testing, specializing in Automation, API, and Kafka Testing. Expert in building scalable automation frameworks, validating Kafka pipelines, and ensuring observability across distributed systems (AWS, Kubernetes, Databricks, Grafana, Kibana). Proven ability to reduce regression cycles by 70%, achieve 90% automation coverage, and mentor QA teams. Strong focus on end-to-end quality in modern cloud-native environments.
Birla Institute of Technology & Science, Pilani
Bachelor of Science (B.Sc.) Design & Computing · Design & Computing
August 1, 2021 – June 30, 2025
HCL Technologies
QA Lead Engineer
December 1, 2021 – Present
India
HCL Technologies
QA Engineer
February 1, 2021 – November 30, 2021
India
UI and API Automation Framework
June 28, 2026 – Present
Designed and built a scalable test automation framework integrating UI and API testing capabilities. Utilized Selenium WebDriver for UI automation and REST Assured for API testing with seamless integration. Implemented data-driven approach with Excel/JSON test data management. Applied Page Object Model design pattern for improved test maintenance.
View ProjectGenerative AI Certification
Unknown
June 30, 2026 – Present
Automation Senior Technical Certification – JBC V1
Unknown
June 30, 2026 – Present
Selenium Automation Testing Professional
Unknown
June 30, 2026 – Present
Cultural Fit Analysis
The candidate's experience with diverse technologies (Java, Python, various databases, cloud platforms) and their proactive approach to building automation frameworks suggest adaptability and a continuous learning mindset. Their leadership role and mentoring activities indicate a collaborative spirit. The focus on cloud-native environments and distributed systems aligns well with modern engineering cultures. The personal project further demonstrates initiative and passion for automation.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentoring abilities, as evidenced by leading junior QA engineers and conducting code reviews. Their experience in presenting metrics to stakeholders indicates good communication and analytical skills. The focus on end-to-end quality and collaboration with developers and PMs suggests a team-oriented and proactive approach. The candidate's ability to work in Agile/Scrum environments further supports operational fit.