Senior Kubernetes Platform Engineer - AI/ML Infrastructure

Cisco

Remote Hybrid Actively hiring
Remote · Research Triangle Park, NC · Dallas, TX · Allen, TX Posted 14 days ago $137,000–$200,500 / year
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At a glance

AI generated

TL;DR

As a Senior Kubernetes Platform Engineer on the Platform Engineering team, you will design and operate large-scale on-prem Kubernetes infrastructure for AI/ML workloads, including GPU-enabled environments. Your day-to-day responsibilities include architecting scalable multi-tenant platforms, enabling ML workflows, and building platform extensions using Golang-based services and Kubernetes controllers. You will also drive AIOps capabilities, improve observability, and optimize resource utilization while working closely with data scientists and infrastructure teams to ensure reliability across complex distributed systems. The role requires deep expertise in Kubernetes internals, etcd management, and hands-on experience with OpenShift/Anthos, Go programming, and AI/ML platforms like Kubeflow. This senior individual contributor position focuses on platform ownership and engineering excellence within a highly scalable and reliable infrastructure context.

Skills

Kubernetes Go etcd Infrastructure as Code AIOps Observability Metrics Logs Traces Kubeflow MLflow Distributed systems On-call rotations Bare-metal infrastructure OpenShift Anthos Prometheus Grafana CI/CD

What you'll do

  • Architect and build large-scale on-prem Kubernetes platforms for AI/ML workloads.
  • Define and evolve scalable multi-tenant platform architecture supporting GPU-based workloads.
  • Enable and optimize ML training and inference pipelines on Kubernetes infrastructure.
  • Implement Infrastructure as Code to enhance scalability and operational efficiency.
  • Drive AIOps capabilities using telemetry, automation, and self-healing systems.
  • Improve observability by optimizing metrics, logs, traces, and resource utilization.

What we're looking for

  • 8+ years of software engineering experience with a focus on Kubernetes.
  • Extensive hands-on experience managing large-scale Kubernetes control planes and etcd.
  • Proficiency in Go for building Kubernetes controllers, operators, CRDs, and webhooks.
  • Deep understanding of Kubernetes internals including API server, scheduler, and reconciliation loops.
  • Experience supporting AI/ML workloads, particularly GPU-based systems on Kubernetes.
  • Proven ability to operate and debug large-scale distributed systems and participate in on-call rotations.

Market check

Salary context

This $137,000–$200,500 range sits above 29% of similar postings on FindRole.

Peer median band

$159,575–$255,800

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$161,125–$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Cisco

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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