Cloud Engineer

Kubernetes Engineer Fortune 50 Healthcare Brooksource Remote Overview: We are looking for a highly skilled Kubernetes Engineer to join the Data Platform Engineering (DPE) team at a Fortune 50 healthcare company. The DPE team is responsible for driving cloud infrastructure innovation, delivering automated, scalable, and secure solutions. As a Kubernetes Engineer, you will manage Kubernetes clusters, support containerized applications, and ensure seamless integration of observability, security, and other critical solutions into Kubernetes. Key Responsibilities: • Manage the full lifecycle of Kubernetes clusters, including updates, scaling, disaster recovery (DR), and troubleshooting. • Build, configure, and maintain Kubernetes clusters to ensure high availability, security, and scalability for enterprise applications. • Containerize applications by creating and managing Docker images and orchestrating their deployment into Kubernetes environments. • Administer infrastructure and platform solutions through Infrastructure as Code (IaC) using Terraform. • Implement Terraform for Kubernetes infrastructure provisioning, focusing on reusable modules and integrating with cloud infrastructure. • Manage container registries, ensuring efficient storage, retrieval, and security of Docker images for application development and deployment. • Integrate and manage monitoring solutions and troubleshooting Kubernetes environments. • Use Istio or other service mesh technologies to manage secure, resilient communication between microservices in Kubernetes. • Provide support for application deployment, monitoring, and troubleshooting in Kubernetes without needing additional platform team assistance. • Define and enforce network and security policies within Kubernetes clusters to secure workloads and service communications. • Troubleshoot Kubernetes-related issues, leveraging tools like kubectl for cluster management and diagnostics. • Integrate third-party solutions (e.g., HashiCorp Vault) with Kubernetes for enhanced security, automation, and performance. Qualifications: • Hands-on experience managing Kubernetes clusters, including setup, configuration, upgrades, and troubleshooting. • Strong proficiency in building, managing, and troubleshooting Docker images and working with container registries. • Experience with Terraform for provisioning Kubernetes infrastructure and automating cloud-based environments. • Practical experience with Istio or other service mesh technologies to handle inter-service communication within Kubernetes. • Expertise in Kubernetes tooling, including kubectl for cluster management, and CI/CD pipelines for automated application deployment. • Proven ability to support applications running in Kubernetes environments, with minimal reliance on platform teams. • Experience in integrating solutions like Observability, Splunk, Dynatrace, OpenTelemetry, etc. for monitoring and performance optimization of Kubernetes. • Strong understanding of network and security policies in Kubernetes and implementing them to secure workloads. • Excellent troubleshooting skills, with the ability to resolve issues in both Docker containers and Kubernetes clusters.