Mahesh Dhondiram Ammaldar
QA Automation EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
QA Automation Engineer with 6+ years in Performance & Security Testing
Quality-driven QA Engineer with 6+ years of experience validating enterprise-scale and government applications through end-to-end testing. Proven expertise in manual and automation testing, building and maintaining robust test frameworks using Playwright (Java), Selenium WebDriver, Cucumber, and Maven. Strong background in API and integration testing using Postman. Specialized in performance engineering with hands-on experience designing and executing load, stress, and scalability tests using Apache JMeter, supported by monitoring and analysis through Grafana, Prometheus, and AWS X-Ray. Experienced in identifying performance bottlenecks and collaborating with development and DevOps teams to improve system reliability. Demonstrated experience in Section 508 accessibility compliance using WAVE, Axe DevTools, and NVDA, along with security testing using OWASP ZAP and familiarity with FedRAMP requirements for cloud-hosted government applications.
Shivaji University, Maharashtra
B.Sc · Science
August 1, 2010 – June 30, 2013
Maharashtra
12th · English
June 1, 2008 – May 31, 2010
Maharashtra
10th · Marathi
N/A – May 31, 2008
Trinesis Technologies
Sr. Quality Assurance Engineer
April 1, 2023 – Present
India
Wayzon Technology Services
Quality Analyst
November 1, 2019 – April 1, 2023
India
IRS
June 9, 2026 – Present
The project focused on automated extraction and classification of scanned and handwritten documents into structured digital records using OCR (AWS Textract). Performed end-to-end testing of document ingestion, processing, classification, and downstream workflows to ensure accuracy and reliability. Executed performance testing using Apache JMeter and monitored application metrics with Prometheus, Grafana, and AWS CloudWatch to identify latency and throughput issues, collaborating with development and DevOps teams to resolve performance bottlenecks. Developed and maintained automation test suites using Playwright with Java, following BDD practices with Cucumber and Maven. Performed API testing using Postman to validate OCR and document processing services. Conducted Section 508 accessibility compliance testing using WAVE, Axe DevTools, and NVDA, and performed security testing using OWASP ZAP to identify and report vulnerabilities.
Education Domain
June 9, 2026 – Present
The project involved development and maintenance of an an education technology platform designed to support student, instructor, and administrative workflows. The application enabled users to manage academic content, user roles, and learning activities through a web-based interface. As part of the QA team, performed end-to-end testing of application features, including functional, regression, and system testing, to ensure stability and usability across releases. Automated key regression scenarios using Selenium WebDriver with Java, following BDD practices with Cucumber and Maven. Supported accessibility testing to improve usability for diverse users by validating keyboard navigation and screen-reader compatibility using NVDA and browser-based accessibility tools. Worked closely with developers and product teams in an Agile/Scrum environment, logging and tracking defects in JIRA and ensuring timely resolution before releases.
Diploma in Software Testing
Unknown
June 1, 2026 – Present
Performance engineering
Unknown
June 1, 2026 – January 1, 2024
Cultural Fit Analysis
The candidate's project experience spans government (IRS) and education domains, indicating adaptability to different industry contexts. Their involvement in diverse testing types (functional, performance, security, accessibility) and collaboration with various teams (development, DevOps, product) suggests a broad perspective and ability to integrate into different team cultures. The emphasis on BDD practices and Agile methodologies aligns with modern development practices, indicating a good cultural fit for dynamic, collaborative environments.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for a senior QA Automation Engineer role, evidenced by their comprehensive involvement in various testing phases and tools. Their experience in leading QA activities, guiding team members, and collaborating with development/DevOps teams suggests good teamwork and communication skills. The detailed project descriptions indicate a structured approach to problem-solving and a focus on quality.