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SDET with 3+ years in Test Strategy & Quality Assurance
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Results-driven Software Development Engineer in Test (SDET) with 3 years of experience in test strategy, test planning, and software quality assurance (QA) across web and API domains. Proven expertise in Selenium WebDriver-based UI automation, REST Assured API testing, and CI/CD pipeline integration using Jenkins and GitHub Actions. Skilled in Agile and Scrum methodologies, JIRA defect lifecycle management, and delivering scalable Page Object Model (POM) automation frameworks that reduce manual testing effort and accelerate release cycles.
IMS Engineering College
B.Tech · Computer Science and Engineering
August 1, 2019 – June 30, 2023
Bhartiya Intermediate College, UP
Intermediate (Class XII)
June 1, 2016 – May 31, 2017
SDDT Inter College, UP
High School (Class X)
June 1, 2014 – May 31, 2015
Brevo (formerly Sendinblue)
Software Development Engineer in Test (SDET)
May 1, 2023 – Present
Noida, Uttar Pradesh, India
Cultural Fit Analysis
The candidate's experience at Brevo (formerly Sendinblue) as an SDET aligns well with a fast-paced, product-focused environment. Their involvement in Agile/Scrum teams and collaboration with product stakeholders suggests a team-oriented and adaptable mindset. The breadth of technical skills and methodologies indicates a willingness to learn and apply diverse tools, which is beneficial for cultural fit in dynamic tech companies. The integration of AI-assisted testing also points to an innovative and efficiency-driven approach.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for an SDET role, evidenced by their current experience and detailed descriptions of test planning, strategy, and defect lifecycle management. Their collaboration with cross-functional Agile/Scrum teams indicates good teamwork and communication skills. The ability to diagnose and resolve complex technical issues, like the Selenium Drag and Drop failure, highlights strong problem-solving and analytical capabilities. The integration of AI-assisted testing also shows a proactive approach to leveraging new technologies for efficiency.