At IBM Software, we transform client challenges into solutions. Building the world’s leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You’ll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM’s product and technology landscape. Here, you’ll have the tools and opportunities to advance your career while creating software that changes the world.
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..
Your experience should include:
- 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.