Automation Tech Lead

Parallel Wireless is reimagining mobile networks with innovative, energy-efficient Open RAN solutions. Join us as we lead the future of telecommunications, driving innovation through green and sustainable networks. [Learn more about our mission, vision and values](https://www.parallelwireless.com/mission-and-vision/). We are looking for an experienced and hands-on Automation Tech Lead to lead the technical direction of our automation infrastructure and drive the adoption of scalable, reliable, and maintainable automation solutions. The role combines hands-on engineering, technical leadership, architecture, and mentoring, working closely with QA, R&D, DevOps, and Product teams. ### What you'll do: - Define and drive the technical strategy and architecture of automation. - Design, develop, and maintain scalable automation frameworks. - Develop automated tests using Python and pytest. - Integrate and maintain automation within CI/CD pipelines, including Jenkins. - Define automation best practices, coding standards, and quality guidelines. - Improve automation stability, execution time, coverage, and maintainability. - Lead debugging and root-cause analysis of complex automation and system issues. - Mentor automation engineers and conduct code reviews. - Collaborate with R&D to improve product testability and quality. - Evaluate and introduce new technologies and approaches, including AI-based testing and automation. ### What you should have: - 5+ years of experience in QA, test automation, or software development. - Strong hands-on experience with Python and pytest. - Experience working with complex multidisciplinary systems and products across software, hardware, and networking domains. - Experience with Linux, Docker/Kubernetes, REST APIs, networking, or distributed systems. - Experience designing and maintaining automation frameworks. - Strong knowledge of Git and CI/CD, preferably Jenkins. - Experience with AI-assisted development or testing. - Solid understanding of software testing methodologies and QA processes. - Experience with API, integration, system, and end-to-end testing. - Strong debugging and troubleshooting skills. - Experience working in Agile/Scrum environments. - Strong communication, problem-solving, and technical leadership skills. - Ability to lead technical initiatives and influence teams without formal authority. ### Education: - . in Computer Science, Software Engineering, Electrical Engineering, Computer Engineering, or a related technical discipline.