Introduction

A career in IBM Consulting is rooted by long-term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio

Your Role And Responsibilities

• Design, architect, and implement enterprise-grade CI/CD pipelines using Azure DevOps.
• Build, maintain, and scale cloud-native infrastructure across Azure, AWS, and hybrid environments.
• Lead automation and Infrastructure-as-Code (IaC) initiatives using Terraform.
• Develop and maintain Kubernetes/OpenShift clusters and cloud-native deployment patterns.
• Implement end-to-end monitoring, alerting, and observability using tools such as Prometheus, Grafana, ELK, Datadog, or similar.
• Apply DevSecOps best practices in code scanning, secret management, and pipeline security.
• Troubleshoot complex cloud and production issues, ensuring high availability and performance.
• Partner with architects, developers, SREs, and operations teams to deliver reliable, automated, and scalable systems.
• Mentor interns and junior engineers to uplift team capability and engineering culture.
  
  

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

• Strong hands-on experience with Azure DevOps (pipelines, repos, artifacts, environments).
• Cloud certification (Azure, AWS, or equivalent).
• Proven experience with Terraform (modules, state management, multi-environment deployments).
• Experience with monitoring & observability tools (Grafana, Prometheus, ELK, CloudWatch, etc.).
• Deep understanding of CI/CD concepts, deployment strategies, release automation, and Git workflows.
• Strong experience with Linux administration, Bash scripting, and at least one modern scripting language (Python preferred).
• Expertise with Docker and Kubernetes; experience with OpenShift is highly beneficial.
• Hands-on experience integrating security and compliance tooling into pipelines (DevSecOps).
• Strong understanding of cloud networking, DNS, load balancers, VPNs, and identity management.
• Excellent troubleshooting skills in distributed systems and production environments.
• Strong communication, leadership, and stakeholder management skills.
  
  

Preferred Technical And Professional Experience

• Experience with Google Cloud Platform (GCP).
• Knowledge of AI Ops tooling or practices (automation, anomaly detection, predictive insights).
• Understanding of GitOps tools (ArgoCD, Flux).
• Experience with configuration management tools (Ansible, Chef, Puppet).
• Exposure to SRE methodologies, SLIs/SLOs, and incident response frameworks.
• Experience with middleware, Kafka, or event-driven architectures.
  

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