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
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Design architect and implement enterprise-grade CI/CD pipelines using Azure DevOps.
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Build maintain and scale cloud-native infrastructure across Azure AWS and hybrid environments.
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Lead automation and Infrastructure-as-Code (IaC) initiatives using Terraform.
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Develop and maintain Kubernetes/OpenShift clusters and cloud-native deployment patterns.
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Implement end-to-end monitoring alerting and observability using tools such as Prometheus Grafana ELK Datadog or similar.
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Apply DevSecOps best practices in code scanning secret management and pipeline security.
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Troubleshoot complex cloud and production issues ensuring high availability and performance.
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Partner with architects developers SREs and operations teams to deliver reliable automated and scalable systems.
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Mentor interns and junior engineers to uplift team capability and engineering culture.
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Strong hands-on experience with Azure DevOps (pipelines repos artifacts environments).
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Cloud certification (Azure AWS or equivalent).
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Proven experience with Terraform (modules state management multi-environment deployments).
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Experience with monitoring & observability tools (Grafana Prometheus ELK CloudWatch etc.).
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Deep understanding of CI/CD concepts deployment strategies release automation and Git workflows.
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Strong experience with Linux administration Bash scripting and at least one modern scripting language (Python preferred).
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Expertise with Docker and Kubernetes; experience with OpenShift is highly beneficial.
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Hands-on experience integrating security and compliance tooling into pipelines (DevSecOps).
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Strong understanding of cloud networking DNS load balancers VPNs and identity management.
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Excellent troubleshooting skills in distributed systems and production environments.
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Strong communication leadership and stakeholder management skills.
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Experience with Google Cloud Platform (GCP).
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Knowledge of AI Ops tooling or practices (automation anomaly detection predictive insights).
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Understanding of GitOps tools (ArgoCD Flux).
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Experience with configuration management tools (Ansible Chef Puppet).
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Exposure to SRE methodologies SLIs/SLOs and incident response frameworks.
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Experience with middleware Kafka or event-driven architectures.