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QA Automation Engineer with 4+ years in API & Performance Testing of Microservices
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Assessing your cultural and operational fit
Having 4 years of experience in Manual, automation, API, and performance testing of microservices-based distributed systems. Expert in building scalable automation frameworks using Selenium WebDriver, TestNG, and BDD (Cucumber) with POM and Data-Driven approaches and maven. Strong in core Java, Collection, REST API testing (Postman, REST Assured), and SQL-based backend validation. Hands-on experience in CI/CD (Jenkins) and performance testing using JMeter. Proven ability to reduce regression effort, improve test coverage, and ensure system reliability through shift-left and continuous testing practices in Agile environments.
University of Mumbai
Master of Computer Science
N/A – June 30, 2022
Trooman Technologies
Software Test Engineer (SDET Role)
January 1, 2022 – Present
India
E-commerce Platform
June 16, 2026 – Present
Tested complete user journey: login, search, cart, checkout, payment, order lifecycle. Automated business-critical workflows using Selenium + TestNG. Performed API testing for Product, Cart, Order, Payment, Inventory services. Conducted performance testing (JMeter) for concurrent users & transaction load. Validated Kafka event flows for order processing and inventory updates. Performed SQL validation for orders, payments, and inventory. Tested edge cases: payment failures, invalid coupons, session timeouts. Ensured data consistency across UI, APIs, and database.
Telecom System (Billing & Customer Management)
June 16, 2026 – Present
Tested telecom workflows: activation, recharge, billing, plan migration. Automated telecom flows using Selenium WebDriver + TestNG. Performed API testing for Recharge, Billing, Customer, Usage services. Conducted performance testing for high-volume telecom transactions. Validated Kafka-based asynchronous events (recharge, billing updates). Verified backend data integrity using SQL queries. Tested edge cases: failed recharge, duplicate transactions, invalid plans. Ensured system reliability under peak load conditions.
Cultural Fit Analysis
The candidate's project experience in E-commerce and Telecom systems demonstrates diversity in application domains, which is a positive indicator for adaptability. The role as an SDET aligns well with the target QA Automation Engineer role, emphasizing a strong technical and automation-focused mindset. The breadth of skills including various testing types (UI, API, performance, event-driven) and tools (Selenium, TestNG, JMeter, Kafka, SQL, Jenkins) suggests a well-rounded individual capable of contributing to diverse technical challenges. The Master's degree also indicates a commitment to continuous learning.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration in Agile Scrum teams and defect tracking using JIRA, indicating good operational fit for a structured development environment. The focus on reducing manual effort and improving test coverage suggests a proactive approach to quality assurance. However, specific soft skills like problem-solving approach, leadership, or conflict resolution are not explicitly detailed.