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DevOps Engineer – Cloud
LogaRecDevOps/ML-Ops/Cloud Engineer for LogaRec GmbH focused on scalable cloud solutions and infrastructure modernization. Collaborating to enhance digital solutions across departments and technologies.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and deploying cloud, AI, and ERP solutions with a strong focus on Infrastructure as Code, scalability, and cost efficiency. Proficient in implementing CI/CD pipelines and fostering a collaborative DevOps/MLOps culture.
Highest-signal resume keywords
Kubernetes ManagementArgo CD / Argo WorkflowsInfrastructure as CodeGPU Stack OptimizationGit Repository Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Infrastructure as CodeKubernetesArgo CDArgo WorkflowsGitLab CI/CDDockerTerraformAnsibleScriptingGPU Drivers
Soft Skills
Cross-Functional CollaborationKnowledge SharingBest Practices Promotion
Tools & Technologies
GitCI/CD PipelinesLLM StackNVIDIA StackCUDA
Industry Keywords
Cloud InfrastructureAI SolutionsERP SystemsDevOpsMLOps
Tech Stack
Tools & technologiesAnsibleCloudDockerERPKubernetesTerraform
About the role
Key responsibilities & impact- You actively design digital solutions for cloud, AI, and ERP systems and drive their efficient deployment and operation.
- You continuously modernize and optimize cloud infrastructure with a focus on scalability, stability, and cost efficiency.
- You implement Infrastructure as Code using Docker, Kubernetes, GitLab CI/CD, and Argo CD / Argo Workflows to deliver fast, reproducible, and scalable infrastructures (including GPU and LLM stacks).
- You act cross-functionally as a knowledgeable support and solution partner for business units.
- You actively share your expertise within the team, promote the exchange of best practices, and support building a strong DevOps/MLOps culture.
Requirements
What you’ll need- Solid experience with Kubernetes (cluster management, deployment strategies, resource optimization).
- Hands-on experience with Argo CD / Argo Workflows for CI/CD pipelines and GitOps.
- Proficient handling of Git repositories (branching strategies, code review processes, CI/CD integration).
- Experience with GPU drivers and building a scalable LLM stack (e.g., NVIDIA stack, CUDA, containerizing models).
- Infrastructure as Code (Terraform, Ansible, etc.) for automated and reproducible provisioning.
- Scripting skills with Argo CI/CD for automated, scalable infrastructure processes.
- Knowledge of scalable LLM infrastructure (resource management, auto-scaling, cost optimization).
Benefits
Comp & perks- Hybrid or remote work options and flexible working hours.
- Freedom to shape your work and projects, as appropriate for a development role.
- Participation in company/project successes.
- Modern workplace with plenty of opportunities for responsibility and professional development.