Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Lead Quality Analyst with 10+ years in Agile/DevOps, API, and AI-assisted automation testing.
14+ years of IT experience in QA, Systems Testing, Project Management, and Agile/Scrum/DevOps environments delivering large-scale enterprise solutions. Performed comprehensive manual functional, regression, integration, and UAT testing across web, mobile, and backend systems. Expert in Manual & Automation Testing, API, GUI/Web & Non-GUI systems, Cloud (Microsoft Azure), DevOps, Big Data, Oracle, .NET, ETL/BI, and regulated domains. Strong in Test Strategy, Test Planning, Test Design, Traceability, System Integration, Functional, Non-Functional, Regression, Performance, Load, Stress, Accessibility (AODA), and UAT testing. Led end-to-end system testing efforts including tool selection, risk assessment, resource planning, and execution for complex applications across SDLC phases. Experienced Scrum Master with Agile expertise in user stories, sprint planning, Kanban, CI/CD quality gates, continuous integration/testing, and stakeholder management. Hands-on with Azure DevOps and Microfocus ALM for test management, defect lifecycle, reporting, and full requirements traceability. Performed AODA accessibility compliance audits and remediation using tools such as AXE and WAVE to meet regulatory standards. Leveraged AI tools to design and generate test plans, reducing manual effort and accelerating test cycles. Implemented AI-assisted test automation frameworks, boosting defect detection accuracy and QA productivity. Applied AI analytics to prioritize high-risk test scenarios and predict potential defect areas. Integrated AI insights into CI/CD pipelines to streamline releases and ensure robust test coverage. Integrated automation and performance testing into CI/CD pipelines to improve release speed and stability. Expert in Micro Focus ALM (QC) for test planning, execution, traceability, defect management, reporting, and QA governance across SDLC. Effective in project planning, QA governance, communication, decision-making, and building strong relationships with business and t
Telus Health
Senior QA Specialist
October 1, 2019 – December 1, 2025
Toronto, Ontario, Canada
Cognizant Technology Solution
Senior Software Quality Analyst
May 1, 2017 – October 1, 2019
Toronto, Ontario, Canada
Cognizant Technology Solution
Senior Systems Test Engineer
December 1, 2014 – February 1, 2017
India
Fact Consultancy Pvt. Ltd
Quality Assurance
May 1, 2009 – May 1, 2011
Hyderābād, Telangana, India
Deloitte
Business Analyst
November 1, 2004 – March 1, 2006
Hyderābād, Telangana, India
Dell International Services
Technical Support Analyst
May 1, 2004 – October 1, 2004
Hyderābād, Telangana, India
Telus Health – Clinical Viewer Portal
October 1, 2019 – December 1, 2025
Acute & Community Care Clinical Data Repository with ambulance communications, enabling providers to access patient info across Ontario. Conducted API testing for DHDR, DICS, Labs, Pathology, Visits, Documents, Imaging, and Ambulance Communication.
PC Optimum Project/Shoppers/Retail chains of Loblaw.
May 1, 2017 – October 1, 2019
No description provided, only tools and technologies.
Cultural Fit Analysis
The candidate's diverse project experience across healthcare, retail, and e-commerce, coupled with roles in different companies (Telus Health, Cognizant, Fact Consultancy, Deloitte), suggests adaptability and a broad understanding of various industry contexts. Their involvement in Agile/Scrum environments and mentoring junior team members indicates a collaborative and growth-oriented mindset. The breadth of technical skills and methodologies used across different roles also points to a willingness to learn and adapt to new technologies and team cultures.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentorship, and stakeholder management skills through their experience leading QA initiatives and coordinating Agile ceremonies. Their ability to identify gaps in requirements, manage defect lifecycles, and provide risk assessments indicates strong analytical and problem-solving capabilities. The emphasis on continuous improvement, team collaboration, and effective communication aligns well with operational leadership within a QA team.