Kubernetes Development Engineer-W2

Remote Full-time
Job Title: Kubernetes Development Engineer Client: Cisco Location: Remote Job Description We are seeking a Kubernetes Development Engineer to join our platform team, focused on Kubernetes and cloud-native systems, including Red Hat OpenShift and other managed Kubernetes platforms (Google Cloud Platform GKE, AWS EKS, Azure AKS). This role involves extending Kubernetes/OpenShift capabilities (e.g., building operators, controllers, CRDs, and webhooks) and supporting machine learning workloads in production, including exposure to OpenShift AI products. The ideal candidate has a strong understanding of how Kubernetes/OpenShift manages workloads and resources internally and can troubleshoot, optimize, and scale cloud-native systems. Minimum Qualifications • Proficiency in Golang or Python, with experience extending Kubernetes or OpenShift using operators, controllers, CRDs, or webhooks • Experience with other managed Kubernetes platforms (GKE, EKS, AKS) is also acceptable • Strong knowledge of Kubernetes/OpenShift control plane internals, including how the system schedules, manages, and reconciles workloads across clusters • Deep understanding of Kubernetes fundamentals, scaling, multi-cluster Kubernetes environments, and security Technical Skills & Experience • Containerization: Proven expertise with Docker, understanding of the container ecosystem, and experience running containers in production (e.g., Kubernetes, Docker Swarm) • Scripting & Automation: Proficient in Python or Go, with experience using Ansible, Terraform, Jenkins for automation and configuration management • Kubernetes Networking: Knowledge of networking concepts including Ingress controllers, Network Policies, and Service Mesh (e.g., Istio) • Monitoring Tools: Familiarity with monitoring tools such as Prometheus, Grafana, or Datadog for observability in Kubernetes environments • Logging Solutions: Knowledge of logging solutions like ELK Stack (Elasticsearch, Logstash, Kibana) or Fluentd for aggregating and analyzing logs • CI/CD: Knowledge of continuous integration and continuous development pipelines • Hands-on Development: Hands-on software development with CI/CD, enterprise application development, and cloud automation Technology Stack • Programming Languages: Python or Go • DevOps & CI/CD Tools: Git, Jenkins, Argo, SonarQube, Artifactory, Docker • Infrastructure & Kubernetes: Terraform, Ansible, Helm, Custom Resource Definitions (CRDs), Kubernetes Operators Apply tot his job
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