Python Automation Developer

Job Title: Python Automation Developer

Location: Mount Laurel, NJ (ONSITE)
Type: Contract Position

Job Summary:

We are seeking a highly skilled and experienced Python Automation Developer with 8 to 10 years of expertise in Python, JavaScript, Node.js, and modern automation frameworks. This position involves developing automation solutions, microservices, and test scripts while validating end-to-end application behavior. The candidate should have strong problem-solving skills and the ability to collaborate effectively with clients and cross-functional teams.

Required Skills & Experience:

• 8 10 years of experience in Python Automation / QA / SDET roles
• Strong programming knowledge in Python and JavaScript
• Hands-on experience with Go Lang and Node.js
• Experience with MochaJS for scripting and automated testing
• Strong understanding of web technologies: REST, SOAP, XML, JSON
• Proficiency in API testing using Postman / Bruno
• Experience with GitHub for version control and Jira for project tracking
• Strong problem-solving and debugging skills
• Excellent communication and client interaction skills

Key Responsibilities:

• Develop microservices using Python, Node.js, and Golang for automation and service validation
• Create standalone scripts to simulate workflows and validate system performance
• Build Proof of Concepts (POCs) and participate in client demos and technical discussions
• Lead creation of test strategies and manage test environments
• Develop automated test scripts using MochaJS for functional, integration, and regression testing
• Design reusable test components and validate API/microservice behavior
• Integrate test suites into automation frameworks and CI/CD pipelines
• Collaborate with cross-functional teams to refine requirements and improve test coverage
• Perform requirement analysis and develop new automation scenarios
• Support both manual and automation testing across applications and systems
• Ensure code quality using tools like SonarQube and follow QA best practices
• Provide technical guidance, troubleshooting, and mentorship to team members
• Maintain version control and branching strategies using GitHub
• Monitor automation execution, analyze failures, and drive root cause analysis
• Document automation workflows, test scenarios, and technical processes