Ai Infrastructure Site Reliability Engineer (remote Usa)

Cisco UK

North Carolina, USA
Base: $165,000.00 - $241,400.00; bonus/equity: not...
Hybrid
Sre practices for ai platforms
Automated ci/cd pipelines
Nvidia dgx and cisco-ucs infrastructure
At Cisco, the AI Infrastructure Services team is at the forefront of integrating artificial intelligence into our platforms, transforming collaboration, security, networking, observability, and more

Job Summary

  • At Cisco, the AI Infrastructure Services team is at the forefront of integrating artificial intelligence into our platforms, transforming collaboration, security, networking, observability, and more.
  • As an AI Site Reliability Engineer, you will leverage SRE practices to reduce toil and maintain Service Level Objectives (SLOs) for internal AI platforms.
  • U.S. employees are offered benefits, subject to Cisco’s plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance.

Matching Summary

At Cisco, the AI Infrastructure Services team is at the forefront of integrating artificial intelligence into our platforms, transforming collaboration, security, networking, observability, and more.

Salary

Base: $165,000.00 - $241,400.00; Bonus/Equity: Not specified; Benefits: Medical, dental, vision, 401(k), paid parental leave, disability, life insurance, stock units, paid time away

Skills & Requirements

Must-have

  • SRE practices for AI platforms
  • Automated CI/CD pipelines
  • NVIDIA DGX and Cisco-UCS infrastructure
  • Python, Ansible, Terraform, Go automation
  • Kubernetes and Docker expertise

Nice-to-have

  • Ethical AI product development
  • Hybrid cloud and virtualization
  • Agile and DevOps operating models
  • Collaboration and leadership skills

Key Requirements

  • 5+ years experience with HPC clusters
  • 5+ years coordinating Linux OS
  • 5+ years Python, Go, C/C++ programming
  • 5+ years deploying Kubernetes clusters
  • Bachelor's degree or equivalent IT experience

Work Rights

Not specified

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