QA Engineer

Prevalent AI; Ernakulam; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Prevalent AI in India (Kerala, Ernakulam) is seeking a QA automation engineer to design, develop and maintain automated test suites with 85–90% automation coverage. You will build robust Python-based frameworks using Pytest, PySpark validation and SQL data checks across data-intensive workflows.

Join a collaborative team, integrate tests into CI/CD pipelines and leverage AI-assisted testing workflows to reduce manual effort while ensuring high-quality software delivery.

Qualifications

• Proficient in Python with reusable utilities and debugging
• Hands-on Pytest experience including fixtures, parametrisation, assertions
• Hands-on PySpark experience validating data transformations and outputs
• Strong SQL skills for data validation across relational databases
• Experience building automated test frameworks rather than relying on manual testing
• Ability to connect automated tests with backend or database validation
• Experience leveraging AI-assisted testing workflows
• Experience writing Markdown-based SKILL.md files
• Experience with Git and CI/CD pipelines
• Experience working in Agile environments

Responsibilities

• Design, develop and maintain automated test suites with 85–90% automation coverage
• Develop robust test automation frameworks using Python and Pytest
• Write and maintain automated test cases for functional, API, regression and data-processing tests
• Use PySpark to validate data transformations and quality across data-intensive workflows
• Write SQL queries to validate application data and reconcile results
• Integrate Python, Pytest, PySpark and SQL into automated validation workflows
• Collaborate with developers and data engineers to improve software quality
• Identify opportunities to reduce manual effort through automation and AI-assisted workflows
• Evaluate AI-generated test cases and code for correctness
• Integrate automated test execution into CI/CD pipelines

Skills

Python

Pytest

PySpark

SQL

Git

CI/CD

AI agents

Markdown SKILL.md

Code reading

Tools

Selenium

Playwright

Job description

Job Description:

Key Responsibilities

• Design, develop and maintain automated test suites, targeting approximately 85–90% automation coverage with minimal reliance on manual testing.
• Develop robust and reusable test automation frameworks using Python and Pytest.
• Write and maintain automated test cases covering functional, integration, API, regression and data-processing scenarios.
• Use PySpark to validate data transformations, processing logic, data quality and expected outputs across data-intensive workflows.
• Write SQL queries to validate application data, verify database states, identify inconsistencies and reconcile expected versus actual results.
• Integrate Python, Pytest, PySpark and SQL into automated validation workflows wherever appropriate.
• Understand application code, test existing implementations, investigate failures and identify defects through code-level analysis.
• Design reusable test utilities, fixtures, assertions, test-data management mechanisms and failure-reporting capabilities.
• Leverage AI agents to support test-case generation, test automation, code analysis, failure investigation and other relevant QA workflows.
• Create, maintain and improve
  SKILL.md files defining instructions, workflows, tools and reusable capabilities for AI agents.
• Evaluate AI-generated test cases and code for correctness, reliability, maintainability and adequate test coverage.
• Integrate automated test execution into CI/CD pipelines and support repeatable regression validation.
• Collaborate with developers, data engineers and other stakeholders to understand requirements, review code, investigate defects and improve overall software quality.
• Identify opportunities to reduce repetitive manual effort through automation, reusable components and AI-assisted workflows.

Skills and Experience:

• Strong hands-on programming experience in Python, including writing maintainable code, reusable utilities, functions, modules and debugging logic.
• Practical experience with Pytest, including test design, fixtures, parametrisation, assertions, test organisation and failure handling.
• Hands-on experience with PySpark, including validating distributed data-processing logic, transformations and expected data outputs.
• Strong SQL skills, including joins, aggregations, filtering, subqueries and data validation across relational databases.
• Experience building and maintaining automated test frameworks rather than relying primarily on manual test execution.
• Ability to connect automated test execution with backend or database validation and assert expected results.
• Ability to read and understand application code, trace execution logic, investigate failures and distinguish application defects from test issues.
• Practical experience leveraging AI agents or AI-assisted development workflows for coding, testing, debugging or task automation.
• Ability to write and maintain Markdown-based SKILL.md files for defining reusable AI-agent skills, instructions or workflows.
• Experience with version control, preferably Git, and automated execution through CI/CD pipelines.

Must Have skills:

• Experience with Selenium or Playwright for UI automation, where relevant to the application.
• API automation using Python libraries and tools.
• Experience testing data-intensive applications, distributed processing workflows or data platforms.
• Experience with automated data-quality checks, reconciliation and database integrity validation.
• Familiarity with Docker, Linux environments and CI/CD tooling.
• Experience evaluating AI/LLM outputs, validating generated code or building AI-assisted testing workflows.
• Experience working in Agile development environments.