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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Kubernetes Platform Engineer - AI/ML... - **Company:** Cisco Systems, Inc. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $137,000.0 - $200,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software Debugging, Distributed Computing Environment, Distributed Systems, Network Control, Open Source Technology, OpenShift, Azure Machine Learning, Software Engineering, Delivery Pipeline, Large Language Models, Reliability of Systems, Kubernetes, Bare Metal, Data Analytics, Machine Learning Operations, Hardware Infrastructure, Webhooks, Golang - **Published:** July 16, 2026 - **Apply:** https://www.juju.com/job/00000000gh6dc1 ## About the Role + 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 ## Description ***hybrid role requires some work activity on-site at Research Triangle Park NC, Dallas TX or Allen TX office 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 ## Related Videos - [This Is Not Your Father's .NET](https://www.wearedevelopers.com/videos/967-this-is-not-your-father-s-net) - [Beyond Webhooks: The Future of Scalable API Event Delivery](https://www.wearedevelopers.com/videos/100312-beyond-webhooks-the-future-of-scalable-api-event-delivery) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [One Platform Could Not Fit Them All](https://www.wearedevelopers.com/videos/1919-one-platform-could-not-fit-them-all) - [From Code to Motion: Building an Autonomous Hat-Hunting Robot with Kubernetes & ML](https://www.wearedevelopers.com/videos/1609-from-code-to-motion-building-an-autonomous-hat-hunting-robot-with-kubernetes-ml) - [From Zero to Hero: Launch & Manage Your Cloud Apps with Free OpenShift & Red Hat Developer Hub](https://www.wearedevelopers.com/videos/1023-from-zero-to-hero-launch-manage-your-cloud-apps-with-free-openshift-red-hat-developer-hub) ## Related Articles - [Learning Kubernetes made easy with KubeCampus](https://www.wearedevelopers.com/magazine/348-learning-kubernetes-made-easy-with-kubecampus) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)