Senior Network Engineer

Requirements:

• Experience with Kubernetes: In-depth knowledge and hands-on experience with Kubernetes, including deployment strategies, configuration management, and troubleshooting.

• Containerization: Proficient in containerization technologies like Docker, with a strong understanding of container orchestration.

• Deployment Tools: Familiarity with deployment tools such as Helm, kubectl, OC.

• Patch Deployment: Focused deployment of patches on K8S clusters. Strategy in Bundling, building and merging with custom objects.

• Experience in RedHat Openshift Administration Certification in Ver3.9/3.11 or 4.x equivalent experience

• Experience in OCP Cluster administration and Upgrades for minimum 2 years

• Deep understanding of container image and micro services design patterns

• Deep Understanding of various application deployment patterns on Kubernetes/Openshift

• Meaningful experience in DevOps & automation: Docker, Kubernetes, Terraform, Ansible

• Experience in troubleshooting incidents and working on customer requests.

• Collaborate with various stakeholders and Redhat

• Experience in Capacity Management of Kubernetes clusters

Core Technical Skills:

• Linux Administration: Proficiency in Linux command-line operations, file system management, package installation, and user administration.

• Containerization: Experience with containerization technologies like Docker, including building and managing container images, working with Dockerfiles, and managing container registries.

• Kubernetes: In-depth knowledge and hands-on experience with Kubernetes, including cluster architecture, resource management, deployment strategies, scaling applications, HAProxy and OpenShift operators.

• Kubernetes Objects: Familiarity with Kubernetes objects such as pods, services, deployments, replica sets, ingress, and config maps, and the ability to create and manage them.

• YAML: Understanding of YAML syntax and the ability to write and modify Kubernetes manifest files for deploying applications and defining resource configurations.

• Networking: Knowledge of Kubernetes networking concepts, including service discovery, load balancing, and cluster networking configuration.

• Storage: Understanding of storage concepts in Kubernetes, such as persistent volumes (PVs) and persistent volume claims (PVCs), and the ability to provision and configure storage resources.

• Security: Familiarity with Kubernetes security mechanisms, including RBAC (Role-Based Access Control), network policies, and secrets management.

• Monitoring and Logging: Experience with Kubernetes monitoring and logging tools, such as Prometheus, Grafana, and Fluentd, to collect and analyze cluster and application metrics.

• Infrastructure-as-Code (IaC): Understanding of Infrastructure-as-Code concepts using tools like Terraform or Ansible to provision and manage infrastructure resources for Kubernetes clusters.

• Troubleshooting and Debugging: Strong problem-solving skills and the ability to troubleshoot issues related to deployments, networking, resource allocation, and application performance within Kubernetes clusters.

Tools:

• Load Testing Tools: Apache JMeter, LoadRunner

• Cloud Native - Docker, Kubernetes , OpenShift

• Infra Performance Monitoring Tool - Grafana and Prometheus

• Profiling Tools: - JProfiler, YourKit, Perf, Gprof

• Log Analysis Tools: ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk, or Fluentd