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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
− Design and implement CI/CD pipelines for efficient and automated application and infrastructure deployment in GCP and Azure.
− Build, maintain and optimize Azure and GCP infrastructure (including Kubernetes, Cloud Functions, GKE, etc.) to ensure high availability, scalability, and performance.
− Implement and manage monitoring, logging, and alerting for proactive problem detection and performance optimization.
− Ensure infrastructure security and adherence to security standards within GCP.
− Work with Infrastructure as Code (IaC) tools for automating resource provisioning and management, and optimize costs associated with cloud infrastructure.
− Consult with the Solution Architect on DevOps solution improvements and target-state infrastructure for the AI solution.
− Support development teams with deployment and infrastructure-related issue resolution.
− Communicate with the AI platform provider (Google) on behalf of ŠKODA AUTO to resolve open points and issues related to GCP and Vertex AI.
− Expert knowledge of GCP - a minimum of 3 years of hands-on experience with architecting, deploying, and managing applications on Google Cloud Platform and Azure.
− In-depth knowledge of containerization and orchestration (Docker, Kubernetes, GKE).
− Advanced experience with CI/CD tools (e.g., GitLab CI/CD, Jenkins, Cloud Build) and CI/CD pipeline development within GCP.
− Practical experience with IaC tools (Terraform is preferred), and the ability to identify and implement infrastructure-level improvements on GCP.
− Experience with monitoring and logging solutions (Stackdriver/Cloud Monitoring, Prometheus, Grafana, ELK stack).
− Experience with infrastructure automation on MS Azure
− Google certification "Cloud DevOps Engineer", "Cloud Developer", "Cloud Security Engineer" and "Cloud Network Engineer"
− Strong scripting skills (Bash, Python).
− Ability to solve complex problems in distributed systems.
- Analytical, proactive, and collaborative mindset with strong communication and persuasion skills.
− Nice to have: experience from the automotive industry (specifically with the VW Group) and experience with Vertex AI.
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