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QA Automation Engineer with 4+ years in Python & Robot Framework
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven QA Automation Engineer with 4+ years of experience in manual testing and automation testing for large-scale enterprise applications in the storage domain. Strong expertise in Python, Selenium WebDriver, Robot Framework, and RIDE, with hands-on experience in building scalable automation frameworks, executing regression automation, and integrating tests with Jenkins CI/CD pipelines. Well-versed in STLC, Agile methodologies, defect lifecycle management, and test strategy development. Proven success in achieving 95% automation coverage, reducing production defects by 40%, and improving regression execution speed by 25%.
A1 Global Engineering College
M Tech · Electronics Engineering
August 1, 2023 – June 30, 2025
Prakasam Engineering College
B Tech · Electrical and Electronics Engineering
August 1, 2017 – June 30, 2021
HCL Tech
QA Automation Engineer
December 1, 2021 – Present
Vijayawada, Andhra Pradesh, India
Dell Networker
December 1, 2021 – Present
Contributed to core functionalities of Dell EMC Networker, data protection and backup solutions for physical, virtual, and cloud environments. Developed automation test scripts using Python and Robot Framework, integrating libraries such as Selenium for functional and regression testing.
Cultural Fit Analysis
The candidate's experience across various testing types and tools, coupled with their involvement in an Agile environment, suggests adaptability and a collaborative mindset. Their achievement in significantly reducing manual testing effort and being awarded for QA initiatives indicates a proactive and results-oriented approach. The breadth of skills and tools used (Jira, qTest, Jenkins, Confluence, Selenium, GitHub, Bugzilla, RIDE, Robot Framework, Linux distributions) points to a willingness to learn and integrate diverse technologies, which is a positive indicator for cultural fit in a dynamic engineering team.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, having worked closely with developers and cross-functional teams and mentored team members. Their experience in an Agile environment, active participation in various sprint ceremonies, and ability to adapt to new tools and technologies indicate a good operational fit. The candidate's focus on reducing production defects and improving efficiency aligns well with operational excellence.