QA Automation Engineer

BlueBox Infosoft; Vadodara; On-site; INR 800,000 - 1,200,000; Full time

Job summary

BlueBox Infosoft Pvt. Ltd. in Vadodara is seeking a self-driven QA Automation Engineer with 3-5 years of experience to own automation for web and API applications.

You will design, build, and maintain scalable automation frameworks, use AI tools to speed test creation, conduct security and performance testing, and integrate tests into CI/CD pipelines with Jira or Azure DevOps.

This role invites proactive test planning and close collaboration with developers to prevent defects early.

Qualifications

• 3–5 years of hands-on QA automation experience.
• Experience testing web and API applications.
• Ability to design and maintain automation frameworks.
• Familiarity with CI/CD and defect tracking tools.

Responsibilities

• Design, build, and maintain scalable automation frameworks for web and API applications.
• Use AI tools to speed up test creation, maintenance, and defect analysis.
• Perform functional, regression, integration, and end-to-end testing.
• Integrate automated tests into CI/CD pipelines and log defects in JIRA/Azure DevOps.
• Conduct security testing and report risks early.

Skills

Automation testing

API testing

Web testing

CI/CD

Security testing

Load testing

AI-assisted testing

Tools

JIRA

Azure DevOps

GitHub Copilot

OWASP ZAP

Burp Suite

JMeter

Docker

AWS

Job description

BlueBox Infosoft Pvt. Ltd. is looking for a self-driven QA Automation Engineer to join our team.

Experience: 3-5 years
Location: Vadodara (Full-time)
Notice Period: Immediate to 30 days

About Us

We are a growing software company building enterprise products including EDRMS, Service Desk & Ticketing, and ION DMS (Automotive Dealer Management System). We are looking for a self-driven QA engineer who takes ownership of quality, understands the systems they test, and uses AI tools to test smarter and faster.

Key Responsibilities

• Design, build, and maintain scalable automation frameworks for web and API applications.
• Use AI tools (GitHub Copilot, ChatGPT/Claude, AI-based test generation) to speed up test creation, maintenance, and defect analysis.
• Perform functional, regression, integration, and end-to-end testing.
• Create clear test plans, test strategies, and detailed bug reports.
• Stay informed about system architecture and upgrades, and plan test coverage proactively.
• Conduct security testing (OWASP Top 10, vulnerability scanning, access control, input validation) and report risks early.
• Run basic performance and load tests to identify bottlenecks.
• Analyse logs to find root causes and support developers in fixing issues.
• Integrate automated tests into CI/CD pipelines.
• Log and track defects in JIRA/Azure DevOps and collaborate closely with developers.

Good to Have

• Performance and security testing tools (JMeter/k6, OWASP ZAP, Burp Suite).
• Docker basics and exposure to cloud platforms (AWS/Azure/GCP).
• Experience testing AI/LLM-based features.