DevOps Tech Lead for AI Infrastructure Kfar Saba 301-Engineering

5 days ago

Israel, India Parallel Wireless Full time ₪ 1,20,000 - ₪ 1,80,000 per year
Job Description

DevOps Tech Lead for AI Infrastructure Kfar Saba 301-Engineering /

Full Time /

Hybrid

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.

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
  • 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
Required Qualifications:
  • 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
Education:

Bachelors degree in computer science, Engineering, or a related field.

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