DevOps Engineer at Cloudogu working with development and operations for reliable software delivery. Focusing on CI/CD, infrastructure automation, and platform services in an agile environment.
About the role
- DevOps Engineer designing and optimizing modern cloud-native infrastructures for AI/ML workflows. Collaborating with cross-functional teams on AWS, Azure, and GCP platforms.
Responsibilities
- Design, build, and maintain cloud-native infrastructures across AWS, Azure, and (optionally) GCP
- Implement scalable, secure, and highly available systems using Kubernetes, Terraform, and CI/CD pipelines
- Automate cloud provisioning and deployments, improve platform reliability, and ensure cost and performance optimization
- Integrate observability tools (Datadog, Grafana, Prometheus, Splunk) into applications and support teams in monitoring and troubleshooting
- Collaborate with developers, QA, and cross-functional teams to enable DevOps practices, streamline workflows, and improve delivery processes
- Support AI/ML workloads by designing infrastructure for training, inference, and MLOps pipelines (SageMaker, Azure ML, Vertex AI)
- Maintain documentation, build self-service DevOps tools, and contribute to platform best practices
Requirements
- 4+ years of experience in DevOps, SRE, or cloud platform engineering
- Strong expertise in AWS or Azure cloud architectures, networking, and security
- Skilled in Kubernetes (EKS/AKS), Docker, Helm, and modern infrastructure-as-code (Terraform)
- Solid understanding of Linux systems, distributed systems, and scalable architecture design
- Hands-on experience with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps) and GitOps (ArgoCD)
- Comfortable with observability tooling (Datadog, Splunk, Prometheus, Grafana)
- Experience with AI/ML platforms or ML-driven workloads is a strong plus
- Ability to work well with cross-functional teams and communicate clearly
Benefits
- Health insurance
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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