Automation QA Engineer (Data & AI Platforms)

Location: Ahmedabad

Required Experience: 4-8 Years

Preference 30-60 days

We are seeking a hands-on Automation QA Engineer who can take ownership of quality across backend services, data pipelines, APIs, and UI applications. This role combines automation-first testing with strong manual QA fundamentals, test strategy ownership, and close collaboration with engineering teams.

The ideal candidate is comfortable working in fast-moving, product-oriented teams and understands how quality impacts data accuracy, AI outcomes, and enterprise trust.

Key Responsibilities:-

Test Strategy & Planning

• Understand product requirements, system architecture, and data flows
• Define test plans, test strategies, and test cases at component, integration, and system levels
• Ensure comprehensive coverage for functional, regression, and release testing

Automation & Framework Development

• Design, build, and maintain scalable automation frameworks from scratch
• Develop automated tests for:
  • Backend services and APIs
  • Data processing and validation logic
  • UI workflows (where applicable)
• Primarily use Python-based automation frameworks (PyTest preferred)

Execution & Defect Management

• Execute automation and manual test cycles
• Debug failures, analyze root causes, and work with developers on resolution
• Track defects, verify fixes, and ensure release quality

CI/CD & Environment Support

• Integrate automated tests into CI/CD pipelines (Jenkins or similar)
• Execute tests in Dockerized and Linux-based environments
• Support test execution across multiple environments

Collaboration & Ownership

• Work closely with product managers, developers, and data engineers
• Participate in Agile/Scrum ceremonies
• Mentor junior QA engineers and promote best practices

Required Skills & Qualifications:

Core QA & Automation

• 4-8 years of experience in Automation + Manual QA
• Strong hands-on experience with Python
• Solid experience with PyTest / Selenium / API testing
• Experience building custom automation frameworks

Testing & Tools

• Knowledge of unit, integration, and regression testing concepts
• Experience with defect tracking tools such as JIRA
• Familiarity with test management tools

Platforms & DevOps

• Experience testing Docker-based applications
• Exposure to CI/CD pipelines
• Comfortable working on Linux environments

Data & Backend

• Working knowledge of SQL databases (PostgreSQL, MySQL, Oracle, or MS SQL)
• Understanding of backend workflows and data validation

Good to Have:

• Experience testing data engineering, analytics, or AI platforms
• Exposure to cloud platforms (AWS / Azure / GCP – basic)
• Experience with SOAP / API testing tools
• Familiarity with Agile/Scrum processes

Soft Skills:

• Strong ownership and attention to detail
• Ability to work under aggressive delivery timelines
• Quick learner with a proactive mindset
• Clear communication and documentation skills

Perks: