DevOps Tech Lead for AI Infrastructure

1 week ago

Kfar Saba Center District, Israel Parallel Wireless Full time $125,000 - $175,000 per year

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:

  • Develop and optimize CI/CD pipelines for complex build environments including C, C++, Java, Go, and other compiled languages
  • Build and maintain sophisticated build systems with dependency management, cross-compilation, and artifact optimization
  • Implement and maintain infrastructure for AI-based tools
  • Build, monitor and improve AI based tools to enhance engineering productivity
  • Develop existing AI tools and provision access and usage of the tools.
  • Collaborate with software engineers to understand and support their infrastructure needs across diverse technology stacks
  • Design, implement, and maintain scalable, secure, and highly available cloud infrastructure (e.g., AWS, Azure, GCP)
  • Define and enforce best practices for DevOps, infrastructure as code, security, and observability

Required Qualifications:

  • 5+ years of experience in DevOps or Build Engineering with focus on CI/CD systems
  • Deep expertise in building and managing CI/CD pipelines for compiled languages (C, C++, Java, Go)
  • Hands-on experience with AI development tools and infrastructure (GitHub Copilot, Cursor, Windsurf, etc.)
  • Experience with build tools and systems (Make, CMake, Gradle, Maven, Bazel, etc.)
  • Strong scripting skills (Bash, Python, or Groovy)
  • Strong hands-on experience with cloud platforms (AWS, GCP, or Azure)
  • Proficiency with containers and orchestration (Docker, Kubernetes, Helm)
  • Experience integrating vector search engines and AI-assisted development infrastructure
  • 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)
  • Strong Git skills and branching strategies for complex codebases
  • Experience with code quality analysis tools (linters, static analysis, etc.)
  • Knowledge of cross-platform compilation and build optimization techniques
  • Team player, fast self-learning individual, and service-oriented attitude

Education:

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

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