DevOps Developer

Introduction

IBM is seeking a talented and motivated DevOps Engineer to join the infrastructure and deployment team supporting one of its flagship enterprise products. This role focuses on building, maintaining, and optimizing scalable, secure, and resilient deployment pipelines and environments. The ideal candidate is experienced in managing complex, containerized applications and infrastructure using Kubernetes and Ansible, and is comfortable working independently with minimal supervision.
You will play a key role in automating deployment workflows, enhancing CI/CD processes, and ensuring high availability across distributed systems. This is a great opportunity to contribute to a mature, enterprise-grade product that delivers significant value to IBM's global customer base, while working in a collaborative, innovation-driven environment.

Your role and responsibilities

Infrastructure AutomationDesign, implement, and maintain automated infrastructure provisioning using Ansible and other IaC tools.
Container OrchestrationManage and optimize containerized applications using Kubernetes, including deployments, scaling, and monitoring.
CI/CD Pipeline ManagementBuild and maintain robust CI/CD pipelines to support continuous integration and delivery across multiple environments.
Security & ComplianceImplement security best practices in infrastructure and deployment workflows, including secrets management and role-based access control (RBAC) in Kubernetes.
Environment ManagementMaintain development, staging, and production environments, ensuring consistency and reliability across deployments.
Release ManagementCollaborate with development and QA teams to manage release cycles, rollback strategies, and deployment validations.
Tooling & ScriptingDevelop custom scripts and tools to automate repetitive tasks and improve operational efficiency.
Collaboration & SupportWork closely with developers, QA, and product teams to troubleshoot issues and support agile development practices.
Documentation & Knowledge SharingMaintain clear documentation of infrastructure, processes, and configurations; mentor junior engineers and share best practices.

Required education

Bachelor's Degree

Required technical and professional expertise

4+ years of hands-on experience in DevOps roles, with a strong focus on automation, CI/CD, and infrastructure management.
Proficiency in Kubernetes (K8s) for container orchestration, including experience with Helm charts, ingress controllers, and managing production-grade clusters.
Expertise in Ansible for configuration management, provisioning, and automation of infrastructure and application deployments.
🖥️ Solid understanding of Linux-based systems, networking concepts, and system-level troubleshooting.
Strong analytical and debugging skills, especially in diagnosing deployment issues, container failures, and infrastructure bottlenecks.
Experience with CI/CD tools such as Jenkins, GitLab CI, or Azure DevOps, and integrating them with version control systems like Git.
Knowledge of security best practices in DevOps, including secrets management, RBAC, and secure image handling.
Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and infrastructure-as-code tools like Terraform is a plus.
Ability to work independently and collaboratively, managing priorities in a fast-paced, agile environment.
* Excellent communication skills for cross-functional collaboration and clear documentation of processes and systems.

ABOUT BUSINESS UNIT

IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.