Cloud Networking Test Automation – Senior Engineer

About Wind River

Wind River is a global leader in delivering software for mission-critical intelligent systems. For more than four decades, the company has been an innovator and pioneer, powering billions of systems that require the highest levels of security, safety, and reliability.   

Wind River helps customers across the automotive, aerospace, defense, industrial, medical, and telecommunications industries solve complex technology challenges on their journey toward the new intelligent machine economy. The company’s software powers generation after generation of the safest, most secure systems in the world.  Examples include playing a key role in NASA space missions such as Artemis I, the James Webb Space Telescope, and multiple Mars rovers. We’ve achieved major 5G milestones including the world’s first successful 5G data session with Verizon and building one of the largest Open RAN networks in the world with Vodafone.  

Wind River has received industry recognition for its innovation, leadership, and workplace, including global Great Place to Work certification and being named a “Top Workplace” for ten consecutive years.  If you want to be part of a culture built on growth mindset, customer focus, and diversity, equity, inclusion, and belonging, join us and help advance the future of the software-defined world.

About the Team

The Wind River Cloud team develops and delivers large-scale, cloud-native infrastructure solutions built on technologies such as Kubernetes, Docker, and OpenStack. We operate at the forefront of fast-evolving open-source ecosystems, integrating these technologies into a robust platform designed to meet the demanding requirements of edge computing, including high availability, low latency, security, and scalability.

We are a leading contributor to the open-source StarlingX project (https://www.starlingx.io/) which provides a fully integrated cloud platform optimized for distributed edge environments, with a strong focus on 5G and telecom use cases.

We are seeking a versatile Cloud Test & Automation Engineer to join our networking team; someone with strong expertise in validation, automation, and networking technologies, and a passion for building high-quality, reliable systems.

Responsibilities

• Design and maintain automation frameworks for Wind River Cloud Platform
• Develop and execute functional, integration, and end-to-end test plans
• Validate Kubernetes environments, including containerized workloads and networking (Calico, SR-IOV)
• Troubleshoot system, networking, and performance issues across the stack
• Integrate automated testing into CI/CD pipelines for continuous validation
• Collaborate with developers to identify issues and improve product quality
• Analyze system performance, scalability, and reliability under load
• Contribute to open-source testing and development within the StarlingX community
• Build tools and scripts to improve test coverage and efficiency
• Document test processes, results, and best practices

Qualifications/Skills

• Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related field
• 5+ years of experience in software validation and test automation for distributed or cloud-native systems
• Strong proficiency in Python, with experience designing and maintaining test automation frameworks (e.g., pytest, Robot Framework)
• Solid experience working in Linux environments, including system administration, debugging, and log analysis
• Strong understanding of Linux networking fundamentals, including TCP/IP, routing, bridging, VLANs, and bonding
• Hands-on experience with Kubernetes (K8s) and container technologies (e.g., Docker)
• Familiarity with Kubernetes networking, CNI plugins, SR-IOV is highly desirable
• Experience building and maintaining CI/CD pipelines (e.g., Jenkins, GitLab CI, Zuul, or similar)
• Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT) to improve productivity and automation workflows
• Excellent written and verbal communication skills
• Strong collaboration skills and ability to work effectively in team environments
• Self-motivated, fast learner with the ability to quickly adapt and master new technologies

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