Introduction
A career in IBM Software means you’ll be part of a team that transforms our customer’s challenges into solutions.
Seeking new possibilities and always staying curious we are a team dedicated to creating the world’s leading AI-powered cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers so the door is always open for those who want to grow their career.
IBM’s product and technology landscape includes Research Software and Infrastructure. Entering this domain positions you at the heart of IBM where growth and innovation thrive.
Your role and responsibilities
What you will do:
- Ensure platform reliability and performance: Monitor troubleshoot and optimize production systems running on Kubernetes (EKS GKE AKS).
- Automate operations: Develop and maintain automation for infrastructure provisioning scaling and incident response.
- Incident response & on-call support: Participate in on-call rotations to quickly detect mitigate and resolve production incidents.
- Kubernetes upgrades & management: Own and drive Kubernetes version upgrades node pool scaling and security patches.
- Observability & monitoring: Implement and refine observability tools (Datadog Prometheus Splunk etc.) for proactive monitoring and alerting.
- Infrastructure as Code (IaC): Manage infrastructure using Terraform Terragrunt Helm and Kubernetes manifests.
- Cross-functional collaboration: Work closely with developers DBPEs (Database Production Engineers) SREs and other teams to improve platform stability.
- Performance tuning: Analyze and optimize cloud and containerized workloads for cost efficiency and high availability.
- Security & compliance: Ensure platform security best practices incident response and compliance adherence..
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
- Strong expertise in Kubernetes (EKS GKE AKS) and container orchestration.
- Experience with AWS GCP or Azure particularly in managing large-scale cloud infrastructure.
- Proficiency in Terraform Helm and Infrastructure as Code (IaC).
- Strong understanding of Linux systems networking and security best practices.
- Experience with monitoring & logging tools (Datadog Splunk Prometheus Grafana ELK etc.).
- Hands-on experience with automation & scripting (Python Bash or Go).
- Experience in incident management & debugging complex distributed systems.
- Familiarity with CI/CD pipelines and release automation.