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Részletek...Description & Requirements
Who we are looking for
Shape the Infrastructure Behind Enterprise AI ?
AI is no longer experimental -- it is mission-critical. As global organizations deploy autonomous AI agents on sensitive data, they need secure, scalable, and compliant platforms that meet the same reliability standards as any enterprise production system.
This is where you come in.
? We are looking for a
Senior or Lead DevOps Engineer to design, build, and operate enterprise-grade Agentic AI platforms.
You will
be a hands-on technical leader
-- owning architecture and delivery while mentoring engineers and partnering closely with client and internal teams. You will help some of the world's most recognized organizations run secure AI environments at scale under strict regulatory and security requirements.
If you are excited about deep cloud-native engineering with real consulting impact, this role offers exactly that.
Your Profile
We are looking for a technically strong leader who is comfortable operating in complex environments.
Core Competences
4-8+ years in DevOps
, Site Reliability Engineering (SRE), Cloud Engineering, or Platform Engineering
Proven experience delivering complex projects in Azure (preferred), AWS, or GCP
Strong hands-on expertise in Kubernetes
(AKS/EKS/GKE), Helm, Kustomize, and container orchestration at scale
Deep experience with CI/CD automation and pipeline design (GitHub Actions, Azure DevOps, GitLab CI, or Jenkins)
Infrastructure as Code (Terraform, Bicep, or Pulumi) across Dev, Test, and Production environments
Practical experience with observability (Azure Monitor, Datadog, Prometheus/Grafana, or OpenTelemetry)
Strong scripting and automation skills (Python, Bash, or PowerShell)
Strong English and native Hungarian are mandatory
Secur