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Software DevOps Engineer - DevOps - AI Tools

Cisco

Salary not specified
Sep 27, 2025
Research Triangle Park, NC, US
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Cisco’s Enterprise DevOps as a Service (EDaaS) team is seeking a skilled DevOps Engineer to support the identification and resolution of operational performance issues while applying security best practices across our growing portfolio of DevOps and AI-driven development tools.

Requirements

  • 6–8+ years of Linux/Unix administration (with emphasis on RedHat).
  • 6–8+ years of scripting experience (Python, Bash, etc.).
  • Hands-on experience administering AI Code Assistant tools such as GitHub Copilot, Cursor, and Windsurf, including configuration, policy enforcement, and usage monitoring.
  • Experience administering and supporting one or more categories of DevOps tools: Source code management (GitHub Enterprise, Bitbucket, GitLab), Build automation (Jenkins, GitHub Actions), Artifact management (Artifactory, GitLFS, Maven)
  • Strong experience working with REST APIs.
  • Experience with configuration management platforms (Puppet, Ansible, Chef, Salt).
  • Solid understanding of computer networking fundamentals (OSI layers, DNS, etc.).

Responsibilities

  • Develop object-oriented Python code to process large data sets via REST APIs.
  • Automate infrastructure provisioning using configuration management tools.
  • Enhance monitoring, logging, and alerting systems to ensure reliability and performance.
  • Administer, configure, and optimize AI Code Assistant platforms to maximize developer productivity while enforcing enterprise security and compliance standards.
  • Collaborate with engineering teams to integrate AI-assisted development into workflows and provide ongoing operational support.
  • Contribute to automation frameworks, CI/CD pipelines, and DevOps tooling to improve efficiency across the enterprise.

Other

  • The ideal candidate is motivated, detail-oriented, and passionate about enabling developers with cutting-edge tooling.
  • You will play a critical role in administering and optimizing both traditional DevOps platforms and next-generation AI Code Assistants (Copilot, Cursor, Windsurf), ensuring secure, scalable, and effective adoption across the enterprise.
  • Proven troubleshooting skills in diverse technical environments.
  • Well-versed with Git and workflows (forking, gitflow, etc.).
  • General knowledge of reverse proxy systems (Nginx, HAProxy, Apache).