Kubernetes Platform Engineer – AI Infrastructure
Cisco
At a glance
AI generatedAs a Kubernetes Platform Engineer at Cisco’s AI Infrastructure team, you will design and operate large-scale on-prem Kubernetes platforms to support next-generation AI/ML workloads, including GPU-enabled environments for training and inference. Your responsibilities include architecting scalable multi-tenant infrastructure, building platform capabilities with custom controllers and operators using Golang, and implementing Infrastructure as Code practices. You’ll collaborate closely with data scientists and ML engineers to optimize workflows and ensure high-performance AI workloads while leveraging AIOps for automation and reliability. This role requires hands-on experience in Kubernetes control plane management, etcd operations, and deep knowledge of Kubernetes internals, along with proficiency in Go and strong debugging skills for large-scale distributed systems.
Skills
What you'll do
What we're looking for
Market check
This $126,500–$182,000 range sits above 25% of similar postings on FindRole.
Peer median band
$152,000–$234,800
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$155,000–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
Employer
Cisco Systems is the world''s leading networking technology company, designing and manufacturing networking hardware, telecommunications equipment, and cybersecurity solutions for businesses and governments. Industry: Networking Technology & Cybersecurity
Cisco currently has 103 open roles on FindRole.
Listed pay typically runs $165,000–$241,400 across 103 roles with salary data.
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