Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.
Job Description
We are looking for Lead Python Automation Developer for our client in San Antonio, TX .
Job Title:
Lead Python Automation Developer Job Location:
San Antonio, TX Job Type:
Contract Job Overview:
Requirement/Must Have:
Strong hands-on experience in Python programming. Experience with Python libraries such as requests, pandas, pytest, selenium, paramiko, boto3, or similar. Good knowledge of automation framework design and implementation. Experience with
REST API
automation and integration. Strong understanding of Git, branching strategies, and code versioning. Experience with Linux/Unix commands and shell scripting. Knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Azure DevOps. Experience in debugging, logging, exception handling, and performance optimization. Strong analytical and problem-solving skills. Good communication and stakeholder management skills.
Responsibilities:
Design, develop, and maintain automation scripts and frameworks using Python. Automate repetitive operational, testing, deployment, reporting, and monitoring tasks. Lead automation initiatives and identify opportunities for process optimization. Work with cross-functional teams including development, QA, infrastructure, DevOps, and business teams. Develop reusable Python modules, APIs, utilities, and libraries. Integrate automation solutions with tools such as Jenkins, Git, Docker, Kubernetes, Ansible, or cloud platforms. Perform code reviews and ensure adherence to coding standards and best practices. Troubleshoot automation failures and provide timely resolutions. Create technical documentation, design documents, and user guides. Mentor junior developers and provide technical leadership to the team. Support CI/CD pipeline automation and deployment activities. Ensure automation solutions are scalable, secure, and maintainable. Nice to
Have:
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Knowledge of Docker, Kubernetes, Terraform, or Ansible. Experience in test automation using Selenium, PyTest, Robot Framework, or similar tools. Knowledge of database automation using SQL, Oracle, PostgreSQL, or MySQL. Exposure to monitoring tools such as Splunk, Grafana, Prometheus, or ELK. Experience leading a team or managing technical delivery. Understanding of Agile/Scrum methodology.
