DevOps Engineer (all genders)
Job Description
Join our newly launched Roland Berger AI Lab to design, automate, and operate secure cloud infrastructure for (Gen)AI applications. You will build CI/CD and IaC foundations, implement observability and incident response. Working closely with Architects and Backend teams, you will productionize agentic/LLM services, enable safe model fine-tuning pipelines, and uphold service readiness with SLOs, cost controls, and performance guardrails. Expect hands-on delivery in Azure, AWS and GCP, working from PoV to scaled rollout.
Qualifications
- Degree in Computer Science/Engineering, or equivalent experience
- 4+ years of experience in DevOps/SRE on Azure,AWS or GCP
- Expertise in CI/CD at scale (e.g. GitHub, GitLab, Azure DevOps), artifact management and environment promotion
- Proficiency in Infrastructure as Code tools like Terraform, Bicep, or CloudFormation, including secrets and configuration management
- Strong experience with Kubernetes/containers (AKS, EKS, GKE), autoscaling, service mesh/ingress and image security
- Familiarity with end-to-end observability: metrics, logs, tracing; dashboards and alerts
- Experience in Incident management and on-call readiness including SLO/SLA design, runbooks, post-mortems
- Understanding of cloud networking & security: VNet/VPC, IAM, policies, Key Vault/KMS and private endpoints
- Familiarity with MLOps/LLMOps workflows, including MLflow, model registries, evaluation/finetuning pipelines and GPU workflows
- Excellent communication skills in English
Additional Information
Do you have an entrepreneurial mindset with a winning personality? If so, we look forward to receiving your application (CV, high school diploma, certificates of all academic degrees, work certificates including internships, as well as proof of semesters abroad) via our online portal. If you have any questions, don't hesitate to contact me.