Job Description:
We are seeking a highly skilled and experienced Kubernetes Administrator to join our team. In this role, consultant will be responsible for the manual deployment of Oracle Applications on Kubernetes cluster running on OCI and Open Shift. Consultant will work closely with the development and operations teams to ensure smooth and efficient deployment processes, as well as troubleshoot any issues that arise during deployment.
Responsibilities:
Manual Application Deployment: Deploy Oracle Applications on Kubernetes cluster using Oracle best practices and following established deployment processes.
Configuration Management: Collaborate with the development team to ensure proper configuration of application components, including containers, services, and networking.
Release Management: Coordinate and execute the release of application updates and new features, ensuring minimal downtime and impact on users.
Troubleshooting and Issue Resolution: Diagnose and resolve deployment-related issues, including containerization, networking, and scalability concerns.
Continuous Improvement: Identify areas for process improvement and automation, making recommendations to streamline deployment procedures and enhance overall efficiency.
Documentation: Maintain accurate and up-to-date documentation of deployment processes, including step-by-step instructions and troubleshooting guides.
Collaboration: Work closely with cross-functional teams, including developers, system administrators, and DevOps engineers, to ensure successful application deployment and integration.
Monitoring and Performance Optimization: Monitor application performance and resource utilization, identifying opportunities to optimize and fine-tune deployment configurations.
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, and Jenkins, and the ability to work with continuous integration/continuous deployment (CI/CD) pipelines.
Scripting and Automation: Strong scripting skills (e.g., Bash, Python) and experience automating deployment processes using tools like Ansible or Terraform.
Patch Deployment: Focused deployment of Oracle patches on K8S clusters. Strategy in Bundling , building and merging with custom objects .
Attention to Detail: Meticulous attention to detail to ensure accurate deployment configurations and adherence to best practices.
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, and scaling applications.
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.
Shell Scripting: Proficiency in shell scripting (e.g., Bash) to automate deployment tasks, manage environment variables, and execute scripts within Kubernetes pods.
CI/CD Tools: Knowledge of continuous integration and deployment tools, such as Jenkins, GitLab CI/CD, or CircleCI, to automate the deployment pipeline and manage application releases.
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.
Version Control Systems: Proficiency in using version control systems like Git for managing and versioning deployment configurations and scripts.
Cloud Providers : Experience working OCI and OpenShift cloud
Job Title: Devops Consultant : Kubernetes Administrator
Job Description:
We are seeking a highly skilled and experienced Kubernetes Administrator to join our team. In this role, consultant will be responsible for the manual deployment of Oracle Applications on Kubernetes cluster running on OCI and Open Shift. Consultant will work closely with the development and operations teams to ensure smooth and efficient deployment processes, as well as troubleshoot any issues that arise during deployment.
Responsibilities:
Manual Application Deployment: Deploy Oracle Applications on Kubernetes cluster using Oracle best practices and following established deployment processes.
Configuration Management: Collaborate with the development team to ensure proper configuration of application components, including containers, services, and networking.
Release Management: Coordinate and execute the release of application updates and new features, ensuring minimal downtime and impact on users.
Troubleshooting and Issue Resolution: Diagnose and resolve deployment-related issues, including containerization, networking, and scalability concerns.
Continuous Improvement: Identify areas for process improvement and automation, making recommendations to streamline deployment procedures and enhance overall efficiency.
Documentation: Maintain accurate and up-to-date documentation of deployment processes, including step-by-step instructions and troubleshooting guides.
Collaboration: Work closely with cross-functional teams, including developers, system administrators, and DevOps engineers, to ensure successful application deployment and integration.
Monitoring and Performance Optimization: Monitor application performance and resource utilization, identifying opportunities to optimize and fine-tune deployment configurations.
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, and Jenkins, and the ability to work with continuous integration/continuous deployment (CI/CD) pipelines.
Scripting and Automation: Strong scripting skills (e.g., Bash, Python) and experience automating deployment processes using tools like Ansible or Terraform.
Patch Deployment: Focused deployment of Oracle patches on K8S clusters. Strategy in Bundling , building and merging with custom objects .
Attention to Detail: Meticulous attention to detail to ensure accurate deployment configurations and adherence to best practices.
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, and scaling applications.
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.
Shell Scripting: Proficiency in shell scripting (e.g., Bash) to automate deployment tasks, manage environment variables, and execute scripts within Kubernetes pods.
CI/CD Tools: Knowledge of continuous integration and deployment tools, such as Jenkins, GitLab CI/CD, or CircleCI, to automate the deployment pipeline and manage application releases.
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.
Version Control Systems: Proficiency in using version control systems like Git for managing and versioning deployment configurations and scripts.
Cloud Providers : Experience working OCI and OpenShift cloud
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