Meenakshi Singh

About Meenakshi Singh

I am a value-driven and accomplished Software Engineer with 9+ years of diverse…

Experience

1. Qa Automation Engineer

   Telstra Health

   May 2022 — Present · Sydney, AU

   Leveraged AWS AI skills (AWS Certified AI Practitioner) to explore automation opportunities with AI-driven solutions.– Designed, developed, and executed automated test scripts using Tosca and Sahi Pro for functional, regression, and integration testing.– Created and validated APIs in both Tosca and Sahi Pro (JavaScript-based) to enhance automation coverage and streamline end-to-end testing.– Played a key role in regression testing, identifying defects, logging them in JIRA, and collaborating with developers for timely resolution.– Maintained and continuously updated test suites to ensure maximum coverage and alignment with evolving requirements.– Collaborated with Business Analysts, Product Owners, and cross-functional stakeholders to refine user stories, define acceptance criteria, and improve test strategies.– Actively participated in Agile ceremonies (daily stand-ups, sprint planning, retrospectives) ensuring alignment with sprint deliverables and seamless communication within the team.– Performed cross-browser, cross-platform, and backend testing; wrote complex SQL queries for data validation, consistency, and integrity checks.– Performed build deployments and release management using Azure DevOps (AzDO) and Jenkins, ensuring smooth integration into CI/CD pipelines.– Hands-on with Azure DevOps (AzDO) for build deployment, version control (push/pull/merge), and release management, supporting continuous delivery workflows.– Conducted cloud-based testing with exposure to AWS services, ensuring application reliability and scalability.– Ensured compliance with healthcare standards (HL7) while testing sensitive patient data workflows within NCSR.– Mentored and guided junior testers in automation scripting, test case design, and defect management, fostering a collaborative QA culture.– Contributed to process improvements by exploring AI-powered QA tools and recommending automation best practices for efficiency and quality.