Ganta Ramesh
Software Test Engineer • India • g*************@gmail.com • +91*******459 • ganta-ramesh/••••• • drivetube.ai/•••••
Professional Summary
Software Test Engineer with 4+ years of experience specializing in functional, regression, system integration (SIT), UAT and API testing across Telecom and Pension/Retirement domains. Proficient in Azure DevOps, AccelQ, Postman, SoapUI, Kafka, Camunda BPMN and SQL Server. Proven track record improving test coverage (~30%) and reducing production defects (~25%) through early integration testing, requirement-mapped test design and cross-functional collaboration.
Technical Skills
Web Technologies: REST APIs
Databases: SQL Server,SQL Querying
Cloud and DevOps: Kubernetes
Testing: Functional Testing,Regression Testing,System Integration Testing SIT,User Acceptance Testing UAT,End-to-End Testing,API Testing,Test Case Design,Test Planning,Traceability Matrix,Defect Tracking,Test Execution Reporting,Azure DevOps ADO,AccelQ,SoapUI
Tools and Methodologies: Postman,Apache Kafka,Camunda BPMN,Azure DevOps Pipelines,Agile,Scrum,Sprint Planning,Retrospectives
APIs & Web Services: SOAP Web Services,Request,Response Validation
Work Experience
CGI
India
Software Test Engineer
May 2022 – Present
Worked on the TalkTalk telecom project at CGI, delivering QA for telecom systems and integrations supporting customer-facing services and backend workflows.
Tech Stack: Azure DevOps ADO, Postman, SoapUI, AccelQ, Apache Kafka, Camunda BPMN, SQL Server, Kubernetes, REST APIs, SOAP Web Services
- Designed, executed and maintained requirement-mapped functional, regression, SIT and UAT test suites in Azure DevOps, increasing automated traceability and improving test coverage by ~30%.
- Validated complex API workflows using Postman and SoapUI, creating detailed payload and contract checks that uncovered data mismatches before UAT.
- Verified Kafka event flows and Camunda BPMN process executions across multi-step telecom workflows, detecting integration gaps that reduced downstream incidents.
- Logged, prioritized and tracked defects in Azure DevOps; coordinated with development and product teams to achieve timely fixes and re-testing, contributing to a ~25% reduction in production defects.
- Drove QA process improvements and knowledge-sharing sessions; mentored new joiners on test design and tools which shortened onboarding time and improved team productivity.
- Participated in Agile ceremonies (Sprint Planning, Daily Stand-ups, Reviews, Retrospectives) and collaborated with BAs and developers to ensure requirement clarity and testability before execution.
CGI
India
Test Engineer (QA)
Oct 2021 – May 2022
Contributed to CalSTRS pension and retirement system testing at CGI, focusing on compliance, data accuracy and end-to-end processing workflows.
Tech Stack: Azure DevOps ADO, Postman, SoapUI, AccelQ, SQL Server, REST APIs, SOAP Web Services, Apache Kafka, Camunda BPMN
- Executed functional and regression test cases for retirement and pension processing workflows, ensuring functional correctness and regulatory compliance.
- Prepared and maintained detailed test cases, execution reports and test evidence to support audits and compliance reviews.
- Tracked and verified defect fixes within SLAs using Azure DevOps, maintaining accurate defect traceability and status reporting for stakeholders.
- Maintained test coverage and traceability matrices to validate business rules and acceptance criteria for complex pension calculations.
- Supported UAT cycles and facilitated defect triage with business stakeholders to validate acceptance criteria and expedite sign-off.
- Collaborated with cross-functional teams to identify integration-level issues early in the SDLC, reducing rework during system testing phases.
Education
Aditya College of Engineering (affiliated to JNTU Kakinada)
Bachelor of Technology (B.Tech) • Kakinada, India • 2020
Achievements
- Bronze Award – QA Delivery Excellence, CGI — 2024: Recognized for exceptional contribution to QA delivery and quality improvements at CGI.
- Mentorship & Onboarding Impact: Mentored new joiners to reduce onboarding time and improve team productivity and knowledge sharing.
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