Job
Description
Primary Responsibilities: Deploy, Manage, and Automate (Kubernetes Focus): Design, deploy, and manage highly available and scalable Kubernetes clusters on AWS EKS using Terraform and/or Crossplane. Implement infrastructure as code (IaC) best practices for managing EKS clusters and related infrastructure. Kubernetes Expertise: Configure and maintain Kubernetes deployments, services, ingresses, and other resources using YAML manifests or GitOps workflows. Implement and utilize GitOps practices with FluxCD for automated deployments and configuration management of containerized applications. Ensure Reliability & Scalability: Proactively ensure the reliability, security, and scalability of AWS production systems, with a particular focus on Kubernetes clusters and containerized applications. Problem-Solving Expertise: Resolve problems across multiple platforms and application domains, including those specific to Kubernetes environments and containerized applications, using advanced system troubleshooting and problem- solving techniques. Operational Support: Provide primary operational support and engineering expertise for all cloud and enterprise deployments, with a focus on Kubernetes deployments. Performance Monitoring: Monitor system performance, identify downtime incidents, and diagnose underlying causes, with a specific focus on Kubernetes cluster and container health. Cost Optimization: Design and develop cost-effective systems within allocated budgets, considering the optimization of Kubernetes deployments. Secondary Responsibilities: Collaboration: Collaborate effectively with developers, testers, and system administrators to ensure smooth deployments and operations of containerized applications on Kubernetes. Process Improvement: Champion the implementation of new processes, tools, and methodologies to enhance efficiency throughout the software development lifecycle (SDLC) and pipeline management, particularly for containerized application deployments. Security Integration: Integrate robust security measures into the development lifecycle, considering the specific security requirements of containerized applications. Typical Qualifications: 14+ years of experience building, scaling, and supporting highly available systems and services. 5+ years of experience managing and operating Kubernetes clusters in production.. Proven experience in building and managing AWS platforms, with a strong focus on Amazon EKS (Elastic Kubernetes Service). In-depth knowledge of Kubernetes architecture, core concepts, best practices, and security considerations. Expertise in infrastructure as code (IaC) tools like Terraform and Crossplane. Familiarity with GitOps principles and experience with GitOps tools like FluxCD (a plus). Proficiency in at least one scripting or programming language (e.g., Python , Go, Ruby, Shell) . Experience implementing solutions using SRE and DevOps principles, continuous integration & continuous delivery (CI/CD), and source code management tools (e.g., version control systems like Bitbucket or GitHub). Familiarity with telemetry, observability, and modern monitoring and visualization tools (e.g., Prometheus, Alertmanager, Grafana, or similar) with a focus on Kubernetes monitoring. Expertise in promoting and driving system visibility to facilitate rapid detection and resolution of issues, particularly within Kubernetes clusters. Behaviours & Abilities Required: A strong ability to learn and adapt in a fast-paced environment, particularly as Kubernetes and container orchestration technologies continue to evolve. Excellent teamwork skills, with the ability to collaborate effectively on a cross- functional team with diverse experience levels, including developers, testers, and system administrators. Strong prioritization skills, managing both individual workload and team needs, while ensuring efficient delivery of containerized applications. Excellent negotiation and problem-solving skills, adept at troubleshooting complex issues within Kubernetes environments and containerized applications. The ability to manage multiple projects simultaneously and keep projects on track by providing regular progress updates. Ability to context-switch effectively and handle unexpected situations. Willingness to participate in rotational on-calls or work shifts to ensure continuous monitoring and support of Kubernetes clusters and containerized applications. A strong work ethic and a commitment to continuous learning and improvement in the field of Kubernetes and container orchestration.
