QA Automation Engineer – Python

Job Summary Synechron is seeking a detail-oriented QA Engineer with strong Python expertise to develop, execute, and maintain automated testing frameworks supporting our software products.

This role involves designing test scripts, implementing automation solutions, and ensuring the quality and performance of applications across APIs, back-end services, and user interfaces. You will work closely with development, product, and operations teams to deliver reliable, scalable, and high-quality software solutions aligned with industry standards.

Required:
Software Requirements

• Strong proficiency in Python (3+ years of experience) for automation scripting

• Hands-on experience with test automation frameworks: PyTest, Robot Framework, Selenium with Python, or Behave (4+ years)

• Knowledge of API testing tools such as Postman, Request library in Python, or REST Assured

• Experience with SQL for database validation and data verification (3+ years)

• Familiarity with version control systems: Git

• Experience with CI/CD tools: Jenkins, GitLab CI, or Azure DevOps

Preferred:

• Experience with automated load and performance testing (e.g., JMeter, Locust)

• Knowledge of test management tools and frameworks for reporting and documentation

• Exposure to cloud environments supporting automation workflows (preferred)

Overall Responsibilities

• Design, develop, and maintain automated test scripts to validate APIs, UI components, and backend services

• Build and optimize test frameworks ensuring stability, reusability, and ease of maintenance

• Execute automated tests for functional, regression, and performance validation to support continuous delivery

• Identify, report, and track defects, collaborating with developers to ensure timely resolution

• Integrate automation scripts into CI/CD pipelines to support rapid release cycles

• Work with cross-disciplinary teams to understand requirements and expand test coverage accordingly

• Facilitate test data preparation, environment setup, and test execution in aligned workflows

• Implement best practices in test automation and quality assurance to improve product reliability

• Maintain documentation for test cases, scripts, and test results for quality audits and process improvement

Technical Skills (By Category)
Programming Languages (Essential):

• Python (3+ years of experience for scripting and automation)

Preferred:

• Additional scripting or programming languages like JavaScript or Shell scripting

Frameworks & Libraries:

• PyTest, Robot Framework, Selenium with Python, Behave (BDD) frameworks

• Familiarity with API testing libraries such as requests or REST Assured

Databases & Data Management:

• SQL: MySQL, PostgreSQL, SQL Server for data validation and verification

Tools & CI/CD:

• Jenkins, GitLab CI, Azure DevOps for automation pipelines

• Version control: Git (required)

Testing & Monitoring:

• Automated testing, performance testing, and metric collection tools

• Basic understanding of monitoring tools for test environment health

Security & Best Practices:

• Awareness of security standards in testing, such as OWASP guidelines

Experience Requirements

• Minimum 3 years of hands-on experience developing and executing automated tests in enterprise or web applications

• Proven expertise in Python-based automation frameworks and scripting languages

• Experience testing APIs, UI, and back-end components in fast-paced delivery cycles

• Familiarity with version control and CI/CD pipelines in agile environments

• Experience working collaboratively within cross-functional teams supporting continuous testing and integration

Day-to-Day Activities

• Develop, review, and improve automated test scripts for various application components

• Execute automated test suites across different environments, analyze results, and report defects

• Troubleshoot and debug automation scripts, optimizing for reliability and speed

• Collaborate with developers and product owners on test coverage and validation requirements

• Maintain test data, environments, and configuration settings for consistent testing

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