Kubernetes Cloud Engineer
hace 3 días
About Redeploy Run, we specialize in helping our clients with platform engineering and operations. Our mission is to free businesses from operational and infrastructural complexities, accelerating the delivery of applications and business value while expediting cloud adoption. Our 'Ready-to
- Run' platform products, including Technology Platforms and Industry Cloud Platforms, empower IT departments to effortlessly establish and manage infrastructure and governance with ease. These platforms come with self-service options, policies, tools, and processes to minimize IT department involvement and allow developers to use appropriate technology for each function.
We are looking for a Cloud Native Engineer with a focus on Kubernetes running on AWS and Azure. In this position, you will contribute to keeping our client's most critical applications available by building and running highly reliable, secure, and scalable Kubernetes platforms. Every day, you will work on identifying and implementing reliability improvements by collaborating with our clients' application developers and our Azure and AWS specialists. Your expertise will ensure we meet our high standards for uptime and efficiency and have a direct impact on client satisfaction.
Key Responsibilities: Kubernetes Cluster Management:- Oversee the deployment, scaling, and management of Kubernetes clusters in AWS and Azure. Ensure clusters are configured for high availability, performance, and security.
- Implement and maintain monitoring solutions to proactively detect and resolve issues. Respond to and troubleshoot operational incidents in Kubernetes environments.
- Develop automation tools and scripts to streamline deployment and management processes. Enhance CI/CD pipelines for efficient and error-free deployments.
- Monitor system performance, identify bottlenecks, and implement optimizations to improve efficiency and reduce costs.
- Plan and implement disaster recovery and backup strategies for Kubernetes clusters to ensure data integrity and availability
- Work closely with development teams to support the deployment and operation of services. Provide guidance and expertise on containerization and orchestration.
- Document systems, procedures, configurations, and best practices
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