Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Machine Learning and AI are increasingly powering applications across organizations like financial institutions, healthcare, government etc. In order for AI to be successful and help improve our lives, it must be trustworthy by providing transparency and be explainable. Organizations are recognizing the importance of a holistic approach to governed data and AI technology in order to manger risk and regulations and to safeguard their brand reputations.

At IBM we are helping people and organizations adopt AI responsibly. Watsonx Governance is an enterprise-grade toolkit to accelerate responsible, transparent and explainable AI workflows. We enable organizations to comply with regulations, demonstrate strong model governance and mitigate business risk using an integrated and transparent approach.

Who you are:

Software Developers at IBM are the backbone of our strategic initiatives to design, code, test, and provide industry-leading solutions that make the world run today - planes and trains take off on time, bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client, software development is critical to the success of IBM and our clients worldwide. At IBM, you will use the latest software development tools, techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.

Your Role and Responsibilities

Design, implement, and maintain robust CI/CD pipelines using Jenkins, integrating with tools like Maven or Gradle.

Manage and orchestrate containerized applications using Kubernetes, including deployment, scaling, and troubleshooting.

Collaborate with development teams to automate and streamline the build, test, and release processes.

Execute and oversee deployments and production releases, ensuring smooth transitions and minimal downtime.

Ensure the availability, scalability, and performance of applications running on Kubernetes clusters.

Implement and manage infrastructure as code (IaC) practices for cloud environments.

Monitor and troubleshoot application and infrastructure performance issues.

Participate in incident response and resolution.

Stay updated on latest DevOps tools and best practices.

Required Technical and Professional Expertise

3-7 years of hands-on experience in DevOps engineering.

Strong proficiency in Jenkins, Shell scripting, and either Maven or Gradle.

Solid understanding of Kubernetes concepts and hands-on experience in managing Kubernetes clusters.

Demonstrated ability to set up and configure Kubernetes clusters from scratch.

Expertise in at least one major cloud provider: IBM Cloud, AWS, or Azure.

Practical experience implementing and managing CI/CD pipelines.

Experience in executing and troubleshooting deployments and production releases.

Preferred Technical and Professional Expertise

Familiarity with Red Hat OpenShift.

Experience with infrastructure as code (IaC) tools like Terraform.

Knowledge of container security and best practices.

Strong problem-solving and troubleshooting skills.

Excellent communication and collaboration abilities

About Business UnitIBM 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.

Your Life @ IBM

About IBM

Location StatementFor additional information about location requirements, please discuss with the recruiter following submission of your application.

Being You @ IBMIBM 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.