Network Automation Engineer

New
United StatesFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
4+ years
Required Skills
DockerPythonKubernetesCI/CDAnsibleLangChain

Requirements

  • 4+ years of experience in software development, network engineering, or infrastructure automation environments.
  • Strong proficiency in Python and automation scripting for network or infrastructure systems.
  • Hands-on experience with Ansible and CI/CD tools such as GitHub, GitLab, or Jenkins.
  • Solid understanding of networking fundamentals, including routing, switching, and network infrastructure platforms.
  • Experience working with containerization technologies such as Docker and Kubernetes.
  • Familiarity with network telemetry, observability, and high-volume data analytics systems.
  • Strong problem-solving skills and ability to work across software and infrastructure domains.
  • Experience in AI Ops, machine learning infrastructure, or agentic AI systems is a strong plus.
  • Exposure to GPU infrastructure management or network inventory systems such as NetBox is highly desirable.
  • Strong collaboration skills and ability to work effectively in global, cross-functional teams.

Responsibilities

  • Define and execute an AI Ops and network automation strategy aligned with business objectives and operational outcomes.
  • Design and implement automation solutions across provisioning, configuration, monitoring, orchestration, and network analytics.
  • Develop and maintain Python-based automation scripts and Ansible workflows integrated into CI/CD pipelines.
  • Build and operate on-prem AI infrastructure, including GPU-enabled environments using Docker and Kubernetes.
  • Deploy and orchestrate agentic AI systems and frameworks such as LangChain and LangGraph.
  • Integrate security best practices into automation and AI pipelines, including access control, encryption, and audit logging.
  • Develop and enhance network telemetry, inventory systems, and NetFlow-based analytics for large-scale environments.
  • Collaborate with global software, platform, and network engineering teams to deliver scalable and reliable solutions.
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