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Introduction
Our Platform Engineering Services team is expanding, and we're looking for a skilled Platform Engineer with deep expertise in OpenShift and the Kubernetes ecosystem. You'll play a crucial role in building, maintaining, and optimizing our cloud-native platforms, enabling our development teams to innovate faster and more reliably.
Your role and responsibilities
Platform Design & Implementation: Design, implement, and maintain scalable, highly available, and secure OpenShift/Kubernetes platforms, including core components, networking, storage, and security configurations.
Automation & IaC Development: Develop and maintain Infrastructure as Code (IaC) using tools like Terraform to automate platform provisioning, configuration, and management across hybrid cloud environments.
CI/CD Pipeline Enablement: Collaborate with development and operations teams to establish robust CI/CD pipelines, ensuring seamless and automated deployment of applications to Kubernetes/OpenShift clusters.
Troubleshooting & Support: Provide expert-level support and troubleshooting for platform-related issues, ensuring high availability and performance of critical services.
Mentorship & Best Practices: Act as a subject matter expert, sharing knowledge and advocating for cloud-native best practices, performance optimization, and security standards within the organization.
Required technical and professional expertise
Deep Kubernetes Expertise: Proven hands-on experience with Kubernetes administration, including cluster deployment, networking (CNI), storage (CSI), security contexts, and troubleshooting in a production environment.
OpenShift Proficiency: Strong practical experience with Red Hat OpenShift, including installation, upgrades, cluster operations, and managing OpenShift-specific features like Operators, Routes, and Service Meshes.
Infrastructure as Code (IaC): Proficient in using Terraform for automating infrastructure provisioning and management, ideally in both cloud (GCP, Azure, AWS) and on-premise (e.g., VMware vSphere) contexts.
Containerization & Registry: Solid understanding of containerization technologies and experience with container registries (e.g., Quay, Harbor).
Scripting & Automation: Strong scripting skills (e.g., Python, Bash, Go) for automation of operational tasks and integration with various APIs.
Preferred technical and professional experience
Experience with monitoring and logging stacks in a Kubernetes environment (e.g., Prometheus, Grafana, Loki, ELK stack, Ansible, Terraform, Vault).
Understanding of GitOps principles and tools (e.g., Argo CD, Flux CD) for continuous delivery.
Demonstrated ability to create and deliver engaging presentations to diverse stakeholders, from engineers to senior leadership.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.