Help & Supportcareers@gravityer.com
Software Test Engineer with 4+ years in manual and automation testing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Quality Analyst with 4 years of experience in manual and automation testing, ensuring high-quality software deliverables. Skilled in test planning, execution, defect tracking (JIRA) and regression testing, SQL validation.Committed to delivering high-quality software with improved test coverage and reduced production defects.
Usha Rama College of Engineering and Technology
B.Tech · Computer Science
August 1, 2015 – June 30, 2019
Eficens Systems
Quality Analyst
April 1, 2022 – Present
Hyderābād, Telangana, India
SPARK
April 1, 2022 – Present
SPARK is a comprehensive cybersecurity solution designed to provide scalable, real-time vulnerability assessment and risk management for enterprise environments. It features deep misconfiguration detection, automated risk scoring, and prioritized remediation insights to help security teams proactively mitigate threats. The solution offers real-time dashboards, detailed reporting, and continuous monitoring to strengthen overall security posture and ensure regulatory compliance. Responsibilities: • Analyzed business requirements, functional specifications, and security workflows to prepare detailed test scenarios and test cases. • Performed functional, integration, system, and regression testing of vulnerability assessment and risk management modules. • Validated real-time vulnerability detection, misconfiguration analysis, and automated risk scoring features. • Conducted API testing using tools like Postman and validated backend data using SQL queries. • Identified, logged, tracked, and retested defects using defect tracking tools (e.g., JIRA), ensuring timely resolution. • Collaborated with developers, business analysts, and security teams in Scrum environments. • Participated in sprint planning, review meetings, and provided test status reports to clients. • Contributed to regression test suite maintenance and supported automation efforts where applicable. • Performed basic performance and reliability validation to ensure platform stability under high-volume scans.
HRMS
April 1, 2022 – Present
Human Resource Management System (HRMS is a web-based application developed to manage and automate core HR operations such as employee management, attendance tracking, payroll processing, project monitoring, and analytics. The system improves organizational efficiency by centralizing workforce data and providing real-time insights through an interactive dashboard. Responsibilities: • Designed, developed, and executed comprehensive test cases for the HRMS application covering modules such as employee management, payroll, attendance, project tracking, and analytics. • Conducted functional, integration, and regression testing to ensure all HR workflows operate seamlessly and accurately. • Validated payroll calculations, leave management, and performance tracking features to maintain data consistency and compliance with organizational policies. • Participated in requirement analysis and review meetings to identify gaps and improve testing coverage for HR processes. • Ensured overall data integrity, accuracy, and smooth operation of HR operations across modules.
Quality Assurance - Techniques and Methodologies
Alison
June 1, 2026 – Present
Learn GenAI Tools & AI Agents for Software Testing
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across different project domains (cybersecurity, HRMS) and exposure to various testing types (functional, performance, security, API, UI/UX) suggests adaptability and a broad skill set. Working in Agile/Scrum environments indicates a collaborative mindset. The certifications in Quality Assurance and AI for Software Testing show a proactive approach to professional development, aligning with a culture of continuous improvement and innovation.
Soft Skills & Operational Fit
The candidate demonstrates good operational fit through experience in Agile/Scrum environments, collaboration with cross-functional teams (developers, BAs, security teams), and participation in sprint ceremonies. The project descriptions highlight a proactive approach to identifying gaps and improving test coverage. The certifications indicate a commitment to continuous learning, including emerging areas like AI in testing.