Senior Automation Engineer - North

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 .

We are looking for a talented and driven Senior Automation Engineer to work at our North site (Kinneret area), the position includes contributing to the testing of wireless telecom and cloud-based cellular solutions of parallel wireless working both internally and with test engineers across parallel wireless sites. This offers a great opportunity to learn and contribute to the ORAN wireless technology.

What you'll do:

• Contribute to automation infrastructure design and ongoing development.
• Contribute to overall system design and architecture.
• Integrate automation tests into CI/CD pipelines, ensuring immediate feedback on code quality and stability.
• Perform hands-on work in a lab environment across different test setups.
• Work closely with R&D teams to understand system architecture, design, and functionality.
• Collaborate with remote teams across international offices.
• Work in an Agile/Scrum environment.
  
  

What you should have:

• 5+ years of relevant professional experience.
• Proven experience using AI tools for automation development and planning.
• Solid understanding of Python.
• Experience working with automation frameworks such as Robot Framework, Pytest, or similar.
• Ability to write simple scripts using Python, Shell, or similar languages.
• Strong verbal and written English skills.
• Self-motivated learner with the ability to quickly learn new technologies and methodologies.
• Hands-on experience with Linux.
• Basic knowledge of networking.
• Familiarity with Docker and Kubernetes concepts.
• Excellent communication and interpersonal skills.
  
  

Nice to have:

• Knowledge of Jenkins and Groovy.
• Prior experience working in a lab environment.
• Telecommunications experience.
  
  

Education:

• Bachelor degree in Electrical/Electronic/Communications/Computer Science Engineering 
  
  

Parallel Wireless is expanding the ecosystem for Open RAN with the GreenRAN™ energy-efficient Hardware-Agnostic technology. Deployed worldwide, our comprehensive 2G/3G/4G/5G Macro RAN solutions enhance network security while reducing operating expenses. As pioneers of Open RAN, we prioritize innovation, flexibility, and sustainability to help build a more connected, and green networks. Headquartered in the USA with global R&D centers, we are proud to serve over 60 customers worldwide and have been recognized with over 100 industry awards. Our mission is to accelerate GSMA’s Mobile Net Zero initiative by reducing TCO and driving innovation across the telecom ecosystem.Learn more at www.parallelwireless.com .

Parallel Wireless embraces diversity and equality of opportunity. We are committed to building inclusive and diverse teams representing all backgrounds, with a wide range of perspectives, and empowering industry-leading skills. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.Parallel Wireless does not accept unsolicited resumes or applications from agencies or individuals. Please do not forward resumes to our jobs alias, Parallel Wireless employees, or any other company location. Parallel Wireless is not responsible for any fees related to unsolicited resumes/applications.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.