Overview
Quality Assurance Automation Engineer Jobs in India at Persistent Systems
Title: Quality Assurance Automation Engineer
Company: Persistent Systems
Location: India
Job Summary
We are looking for a skilled QA Engineer with strong Python coding knowledge, experience in log analysis using monitoring tools, and understanding of GenAI concepts. The ideal candidate should have hands-on experience in QA processes, troubleshooting issues, analyzing logs, and working with AI-assisted development concepts such as Prompt Engineering and Vibe Coding.
Key Responsibilities
- Develop and maintain QA automation scripts using Python.
- Perform functional, regression, integration, and API testing.
- Review and analyze application logs using Splunk, Datadog, or similar monitoring tools.
- Identify defects, troubleshoot issues, and coordinate with development teams for resolution.
- Validate application behavior and ensure software quality standards.
- Work closely with DevOps, developers, and support teams for issue tracking and resolution.
- Utilize GenAI concepts and AI-assisted workflows in testing and productivity improvements.
- Prepare test cases, test reports, and defect documentation.
- Participate in Agile/Scrum development activities.
Mandatory Skills
- Python Coding
- QA Testing & Automation
- Splunk / Datadog Log Analysis
- Monitoring & Troubleshooting
- Basic GenAI Concepts
- Prompt Engineering
- Vibe Coding
Secondary Skills
- Selenium / PyTest / API Testing
- REST APIs
- SQL Basics
- Linux/Unix
- Defect Tracking Tools
Additional Skills
- Git/GitHub
- Jenkins / CI-CD
- Agile/Scrum
- Cloud Basics (AWS/Azure/GCP)
- AI Tools such as GitHub Copilot or ChatGPT
Required Qualifications
- Bachelor’s degree in Computer Science, IT, or related field.
- Strong understanding of QA methodologies and testing lifecycle.
- Good analytical, debugging, and troubleshooting skills.
- Strong communication and collaboration abilities.
- Ability to work in fast-paced environments.
Preferred Qualifications
- Experience with automation framework development.
- Exposure to DevOps and observability tools.
- Knowledge of performance and security testing.
