> Markdown version of [/jobs/ext/3541913-kubernetes-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3541913-kubernetes-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Kubernetes Platform Engineer - **Company:** Saxon Global - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Application Integration Architecture, Bash Shell, Linux, Domain Name System (DNS), InfiniBand, Python (Programming Language), Key Management, Linux System Administration, Nginx, Role-Based Access Control, Remote Direct Memory Access, Prometheus, YAML, Load Balancing, Performance Testing, Delivery Pipeline, Large Language Models, Grafana, Apigee, Rate Limiting, Git, AI Platforms, Kustomize Configuration Management, Kubernetes, Deployment Automation, Bare Metal, Slurm, Machine Learning Operations, Hardware Infrastructure, Api Gateway - **Published:** September 30, 2026 - **Apply:** https://www.dice.com/job-detail/2275dc45-77ea-4a6a-b614-32d5e637da95 ## About the Role * Proven experience deploying and supporting production Kubernetes environments * Strong experience with on-premises or bare-metal Kubernetes deployments * Advanced Linux administration experience * Experience with container runtimes and containerized application deployments * Strong knowledge of: + Kubernetes Networking + DNS + Ingress Controllers + Load Balancing + Persistent Storage + RBAC + Secrets Management + TLS/Certificates * Experience with Helm, Kustomize, YAML, and Git-based deployment workflows * Python and/or Bash automation experience * Experience with Prometheus, Grafana, or similar monitoring platforms * Experience integrating APIs, AI services, or inference endpoints * Ability to work independently within a customer environment Preferred Qualifications * NVIDIA GPU infrastructure experience * GPU Operator implementation and support * GPU monitoring and optimization * vLLM or similar LLM-serving platforms * AI/API Gateway products (Solo.io, Kong, Apigee, NGINX Gateway, etc.) * RDMA, InfiniBand, or RoCEv2 experience * NCCL performance testing * Slurm workload scheduler experience * Certified Kubernetes Administrator (CKA) ## Description Seeking a Kubernetes Platform Engineer to support the production rollout of an existing enterprise Kubernetes environment and assist with AI gateway evaluations and deployments. This resource will serve as a hands-on engineering contributor embedded within the customer environment, leveraging established platform designs and deployment manifests to complete production implementation efforts, troubleshoot issues, and support AI platform initiatives. This is a highly technical, execution-focused role requiring strong Kubernetes, Linux, networking, storage, automation, and platform troubleshooting experience. Primary Responsibilities * Execute and validate production Kubernetes deployments using existing platform designs and deployment manifests * Troubleshoot Linux, container, networking, storage, and cluster-related issues * Deploy and support AI gateway proof-of-concepts and inference platform integrations * Integrate and validate model-serving endpoints * Evaluate authentication, routing, rate limiting, observability, and platform performance * Support Kubernetes networking, ingress, load balancing, DNS, storage, and security configurations * Maintain deployment automation workflows and operational runbooks * Document findings and provide knowledge transfer to customer teams * Collaborate with platform engineering teams to resolve infrastructure and application issues * Provide recommendations related to platform performance, scalability, and operational readiness