Network Automation Engineer

Network Automation Engineer focuses on defining and delivering an ai ops network automation strategy aligned to business and customer outcomes.

What the role involves

• Defining and delivering an AI Ops network automation strategy aligned to business and customer outcomes.
• Identifying and implementing automation across network provisioning, configuration, monitoring, and analytics.
• Building and operating on‑prem AI infrastructure , including GPU‑enabled environments using Docker and Kubernetes.
• Deploying and orchestrating agentic AI systems (e.g., LangChain, LangGraph).
• Embedding security best practices across AI pipelines (secrets management, access control, encryption, audit logging).
• Developing automation using Python, Ansible, YAML , and integrating into CI/CD pipelines.

Skills and requirements

• 4+ years across the full software development lifecycle in a network technology environment.
• Strong Python and automation scripting experience.
• Hands‑on experience with Ansible and modern CI/CD workflows (GitHub, GitLab, Jenkins).
• Solid understanding of container lifecycle management and infrastructure automation.

Candidate fit

• technical judgement, safe working habits, careful diagnostics, and practical problem-solving