Introduction
At IBM Infrastructure & Technology, we design and operate the systems that keep the world running. From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability. Our teams ensure the performance, security, and scalability that clients and industries depend on every day. Working in Infrastructure & Technology means tackling complex challenges with curiosity and collaboration. You'll work with diverse technologies and colleagues worldwide to deliver resilient, future-ready solutions that power innovation. With continuous learning, career growth, and a supportive culture, IBM provides the opportunities to build expertise and shape the infrastructure that drives progress.
Your Role And Responsibilities
The IBM Cloud Databases (ICD) team is responsible for developing and operating the Software as a Service (SaaS) offerings that provide Database as a Services (DBaaS) in IBM Cloud.
The Infrastructure Specialist engineer must have a deep understanding of Kubernetes clusters, HA configurations, good knowledge of python or GoLang and general operations in a production environment. The key requirement is to have a passion for maintaining a High quality, Highly Available service.
We are a You build it, You run it culture. As a Infrastructure Specialist, Candidates should have a strong desire to work within a CICD environment and have a passion for embracing new cloud technologies. Candidate should have track record of delivering microservices based SW solutions using Continuous Integration/Continuous Deployment tools such as Jenkins, GitHub, Gradle, Travis and Docker. The engineer will participate in the design of the service, writing tools and automation, building containers and developing automated tests.
Preferred Education
Master's Degree
Required Skills
Required technical and professional expertise
- Will be working India hours (9AM IST -5 PM IST)
- Experience operating a cloud-based service and CICD environment.
- Experience operating production Kubernetes clusters.
- Understanding and updating Helm charts.
- Understanding container lifecycle.
- Troubleshooting failures in the control plane or container.
- Experience in Python or GoLang
Preferred Skills
Preferred technical and professional experience
- Experience with Containerisation and Docker
- Experience with Jenkins and Github
- In depth knowledge of at least one Cloud Provider IaaS ecosystem (VPC, Storage, IAM)
