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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.
We are looking for a Platform Production Engineer to join our team and take ownership of scaling automating and optimizing our multi-cloud platform infrastructure across AWS GCP and Azure. In this role you will design implement and operate highly available and efficient systems that power mission-critical applications. Your expertise in Kubernetes cloud infrastructure and distributed systems will be key in driving reliability automation and operational excellence to deliver a seamless experience for our customers and internal teams.
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 Victoria Metric etc.) for proactive monitoring and alerting.
● Infrastructure as Code (IaC): Manage infrastructure using Terraform Terragrunt Helm and Kubernetes manifests.
● CI/CD & release automation: Build maintain and improve CI/CD pipelines using GitHub Actions ArgoCD and related tooling to streamline application delivery and platform updates.
● Cross-functional collaboration: Work closely with developers 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.
● 7-9 years of relevant experience
● 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 Victoria Metrics etc.).
● Hands-on experience with automation & scripting (Python Go Bash).
● Experience in incident management & debugging complex distributed systems.
● Familiarity with CI/CD pipelines and release automation.