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QA Automation Engineer with 3+ years in Test Automation, API Testing & Azure DevOps
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Automation Test Engineer with 3+ years of experience building and maintaining Selenium-Java automation frameworks for data-driven applications. Experienced in TestNG, API testing, JIRA, GitHub, and Azure DevOps CI/CD pipelines. Known for reducing regression effort, improving test stability, and catching defects early in Agile teams.
JSPM NTC, Pune
Master Of Engineering · Computer Engineering
N/A – June 30, 2021
Rubiscape Pvt. Ltd.
Sr. Software Engineer (QA / Automation)
December 1, 2022 – May 1, 2024
India
Inteliment Technologies Pvt. Ltd.
Software Engineer (QA / Automation)
April 1, 2021 – December 1, 2022
India
RubiScape / Rubi Connect
April 1, 2021 – May 1, 2024
Domain: Data Science | Client: Bajaj / Magna • Validated end-to-end data flows across RDBMS and flat files, ensuring data integrity and accuracy. • Automated UI regression scenarios using Selenium WebDriver with TestNG, increasing coverage of high-priority user journeys. • Performed API testing using Postman, validating request/response payloads and error handling. • Maintained automation codebase in GitHub, ensuring controlled releases and rollback capability. • Reduced regression execution time by ~30% through targeted automation.
RubiSight – Data Visualization Platform
April 1, 2021 – May 1, 2024
Domain: Data Science | Client: Bajaj / Magna • Designed and executed functional and regression test cases using JIRA and Azure DevOps. • Automated critical workflows using Selenium WebDriver (Java) and TestNG, improving release confidence. • Used GitHub-based version control to manage test scripts, collaborate with team members, and track changes across releases. • Worked closely with R&D teams to clarify requirements, reproduce defects, and validate fixes efficiently.
Cultural Fit Analysis
The candidate's experience across multiple projects within the data science domain, coupled with their involvement in Agile teams, suggests a good cultural fit for dynamic and data-driven environments. Their focus on collaboration, continuous improvement (optimizing scripts, reducing flaky tests), and end-to-end quality assurance aligns well with modern engineering cultures. The breadth of tools and methodologies used indicates adaptability.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, actively engaging with development teams, product owners, and analysts in Agile sprints. Their experience in defect tracking, root cause analysis, and improving test stability indicates a proactive and problem-solving approach. The ability to manage test scripts in GitHub and integrate with CI pipelines suggests good operational discipline.