DevOps Tech Lead for AI Infrastructure

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 highly skilled DevOps Engineer to lead AI initiatives within the engineering group by leveraging AI-driven tools and integrating them into the CI/CD pipeline to enhance code quality and optimize the software development lifecycle.

Responsibilities:

• Design, implement, and maintain scalable, secure, and highly available cloud infrastructure (e.g., AWS, Azure, GCP)
• Develop and optimize CI/CD pipelines to improve deployment speed and quality
• Monitor system performance, troubleshoot issues, and ensure high uptime and reliability
• Automate provisioning, configuration management, and monitoring using tools like Terraform, Ansible, or similar
• Collaborate with software engineers to understand and support their infrastructure needs
• Define and enforce best practices for DevOps, infrastructure as code, security, and observability
  
  

• 5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a similar role
• Strong hands-on experience with cloud platforms (AWS, GCP, or Azure)
• Proficiency with Infrastructure as Code tools (Terraform, CloudFormation)
• Experience with configuration management tools
• Deep knowledge of CI/CD tools
• Strong scripting skills (Bash, Python, or Go)
• Proficiency with containers and orchestration (Docker, Kubernetes, Helm)
• Solid understanding of networking, security best practices, and Linux system administration
• Excellent problem-solving, communication, and collaboration skills
• Experience with monitoring and observability tools (Prometheus, Grafana, ELK,)
• Exposure to zero-downtime deployments, blue-green deployments, and canary releases
• Proficiency with Atlassian tools (Bitbucket, Jira, Confluence)
• Familiarity with code quality analysis tools (linters, static analysis, etc)
• Strong Git skills
• Familiarity with AI-assisted development tools (Github Copilot, Curser, Windsurf, etc)
• Experience deploying and maintaining machine learning models
• Experience integrating LLM workflows, vector search engines
• Team player, fast self-learning individual, and service-oriented attitude
  
  

• Bachelor’s degree in computer science, Engineering, or a related field.