Level

Cisco

Senior Cloud Infrastructure Engineer

AI in this role

Meet the Team  

Join Cisco’s Enterprise AI team, the core group enabling Generative AI powered experiences across Cisco. Our mission is to build secure, scalable AI platforms that empower teams to safely develop, deploy, and operationalize AI-powered solutions. We operate at the intersection of applied AI, cloud infrastructure and security - partnering across engineering, security, compliance, and product teams to bring trusted AI to life at an enterprise scale. 

We are a fast-growing, highly collaborative team of platform engineers, AI engineers, and data scientists who value technical depth, ownership, and pragmatic execution. What makes this team exciting is the opportunity to define how secure Generative AI is built and governed inside a global technology leader.  

As a Senior SRE in our India hub, you will tackle complex networking and service mesh challenges across a global footprint. Your expertise in Anthos and Istio will be critical in maintaining the high-availability platform that powers Cisco's most advanced AI initiatives. 

 

Your Impact 

  • Develop and maintain Terraform scripts to provision and manage scalable GCP and On-premise Kubernetes resources and Docker containers. 

  • Configure and optimize Anthos Service Mesh (ASM) and Istio for service-to-service communication, security, and observability. 

  • Implement and audit IAM roles and GCP Quotas, ensuring the environment is "Secure by Design" with robust encryption and secrets updates. 

  • Build and leverage observability dashboards using Elasticsearch and Kibana to monitor system health and provide proactive alerts on performance and cost. 

  • Execute capacity planning and scaling for new feature rollouts, ensuring the environment stays within defined cost envelopes and security standards. 

Minimum Qualifications: 

  • Bachelor’s or Master’s Degree in Engineering or a related technical discipline. 

  • 10+ years of hands-on experience in Cloud/On-prem Operations or DevOps. 

  • Strong proficiency in Terraform, Kubernetes, and Docker. 

  • Extensive experience with IAM implementation, GCP Quota management, and Anthos Service Mesh (ASM)/Istio. 

  • Proven experience with Apigee and the ELK stack. 

Preferred Qualifications: 

  • Experience with Jenkins, Spinnaker, and GitHub for automated delivery. 

  • Proven ability to manage hybrid traffic between cloud and on-premise platforms. 

  • Strong analytical skills for cost envelope management and capacity planning. 

  • Advanced proficiency with cloud provider CLIs and automation scripting.

Why Cisco? 

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.

Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. 

We are Cisco, and our power starts with you. 

How we score this

Senior Cloud Infrastructure Engineer at Cisco scores 20 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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