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On Call Aiops Engineer Jobs (NOW HIRING)

CME Group

Site Reliability Engineer II

New York, NY · On-site

$103K - $172K/yr

Participate in on-call rotation and assist in incident response under guidance from senior ... AIOps Platforms: Experience using platforms such as Dynatrace, New Relic, Moogsoft, BigPanda, or ...

CME Group

Site Reliability Engineer II

Manhattan, NY · Hybrid

$103K - $172K/yr

Participate in on-call rotation and assist in incident response under guidance from senior ... AIOps Platforms: Experience using platforms such as Dynatrace, New Relic, Moogsoft, BigPanda, or ...

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Senior Kubernetes Platform Engineer - AI Infrastructure

Senior Kubernetes Platform Engineer - AI Infrastructure

Cisco

Parker, TX • On-site

$103K - $140K/yr

Other

Posted 9 days ago

Cisco Systems rating

8.6

Company rating: 8.6 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

15th of 139 rated electronics manufacturers

Job description

Senior Kubernetes Platform Engineer - AI Infrastructure

Join our Platform Engineering team to design, build, and operate large-scale, on-prem Kubernetes infrastructure powering next-generation AI/ML platforms, including GPU-enabled environments for both traditional ML and state-of-the-art LLM workloads.

You will be pivotal in defining and evolving a highly scalable Kubernetes platform that serves as the foundation for AI/ML workloads. This role combines deep Kubernetes platform engineering with AI/ML infrastructure enablement, ensuring performance, reliability, and scalability across distributed systems.

You will lead technical direction across Kubernetes control plane operations, cluster lifecycle management, and platform extensibility, while working closely with data scientists, ML engineers, and infrastructure teams to support production AI workloads at scale.

This is a senior individual contributor role focused on platform ownership, engineering excellence, and driving reliability and automation across complex distributed environments.

Your Impact / Core Responsibilities
  • Architect, build, and operate large-scale on-prem Kubernetes platforms (OpenShift/Anthos), including control plane and etcd lifecycle management
  • Define and evolve scalable, multi-tenant platform architecture supporting AI/ML and GPU-based workloads
  • Enable and optimize ML workloads including training, inference, and LLM deployment pipelines on Kubernetes
  • Build platform extensions using Kubernetes controllers, operators, CRDs, and Golang-based services
  • Implement Infrastructure as Code and automation to improve scalability, consistency, and operational efficiency
  • Drive AIOps capabilities using telemetry, automation, anomaly detection, and self-healing systems for platform reliability
  • Improve observability (metrics, logs, traces) and optimize resource utilization, scheduling, and cluster performance
  • Partner with ML engineers and data scientists to operationalize ML workflows and ensure platform readiness for AI workloads
  • Participate in on-call rotations, owning incident response, reliability, and continuous operational improvement
  • Mentor engineers and contribute to defining platform engineering standards and best practices
Minimum Qualifications / Required Experience
  • 8+ years of software engineering experience
  • 4+ years of hands-on Kubernetes production experience with control plane ownership
  • Strong experience operating on-prem or self-managed Kubernetes environments
  • Deep expertise in etcd management (backup, restore, recovery, upgrades)
  • Strong proficiency in Go with experience building Kubernetes controllers, operators, CRDs, and webhooks
  • Deep understanding of Kubernetes internals (API server, scheduler, controller loops, reconciliation)
  • Experience supporting AI/ML or GPU-based workloads on Kubernetes platforms
  • Proven experience operating and debugging large-scale distributed systems
  • Experience participating in on-call rotations and production incident management
Preferred Qualifications
  • Experience with bare-metal or enterprise on-prem infrastructure at scale
  • Exposure to AI/ML platforms and tooling (e.g., Kubeflow, MLflow, distributed training systems)
  • Experience building internal developer platforms or platform-as-a-service (PaaS) systems
  • Familiarity with AIOps concepts such as automated remediation and predictive operations
  • Experience applying data-driven or ML-based techniques for system reliability or capacity planning
  • Contributions to Kubernetes, CNCF, or other open-source ecosystems

What Cisco Systems employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Cisco Systems

Sourced by ZipRecruiter

Cisco Systems, a global tech titan based in San Jose, CA, US, operates in the information technology and services industry. Founded in 1984, the company was derived from a project between two computer scientists from Stanford University. They aimed to connect different networks of computer systems at the university, resulting in the first multi-protocol router, and subsequently, the birth of Cisco. As an industry-leading manufacturer of networking hardware and telecommunications equipment, Cisco's product and services range includes routers, switches, firewall devices, and telecommunication technology. The company's mission, "to shape the future of the Internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners," is a testament to its pursuit of technology-forward innovation and customer satisfaction.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1984

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