
Kubernetes Cloud Architect
7 days ago
Job Title: Kubernetes Platform Engineer
Job Description:
- Design, develop, and maintain a robust, scalable, internal containerized platform that supports the deployment, scaling, and management of applications.
- Develop automation scripts, tools, and documentation to streamline deployment and management processes.
- Ensure platform stability and performance by proactively monitoring system metrics, troubleshooting issues, and optimizing resources.
- Implement observability solutions, such as monitoring, logging, and tracing tools, to gain valuable insights into platform performance and application behavior.
Required Skills and Qualifications:
- At least 7+ years of experience in Kubernetes Engineering including some public cloud experience.
- Experience in platform engineering, infrastructure automation, SRE, or a similar role.
- Understanding of Kubernetes architecture, concepts, and components, with hands-on experience in building and managing Kubernetes platforms in production environments.
- End-to-end implementation of the Kubernetes architecture - installation, configuration, hardening, networking, etc.
- Proficiency in a procedural or scripting programming language (e.g., Python, Go).
- Experienced with Continuous Integration/Continuous Delivery principles (e.g., GitHub Actions, Concourse, ArgoCD, Jenkins).
- Experience designing and deploying containerized applications on Kubernetes.
- Experience with automation tools, such as Helm, Terraform, Ansible, and Azure DevOps.
- Understanding of security and compliance best practices.
- Familiarity with observability best practices and tools, such as Prometheus, Grafana, or ELK Stack.
Benefits:
- Opportunity to work with cutting-edge technology and contribute to the development of innovative solutions.
- Collaborative and dynamic work environment.
- Potential for career growth and professional development.
Others:
- Demonstrated competency in a programming/scripting Language, with a strong preference for Go experience and Python.
- Experience designing and implementing Infrastructure as code API's using interface definition tools like Swagger.
- Strong understanding of Virtual computing environments and concepts such as Hypervisors and load balancing concepts.
- Demonstrated understanding of, And preferably hands-on experience, with Identity management, Access Management, Certificate management.
- Experience designing and implementing containerized infrastructure logging and observability tools such as Splunk, Fluentd/Fluentbit, Prometheus/Grafana/Alert manager Suite, Wavefront, APPD.
- Experience with .net core and .net framework.
- Experience with Open policy Agents or other policy engines.
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