About this role
<div id="csb_header"> <p>We - Schwarz IT Hub - are the Romanian branch of Schwarz IT. We offer high value IT services for the entire companies of Schwarz Group, which includes Lidl, Kaufland, Schwarz Produktion and PreZero. As a digital hub and go-to technology provider for the group, we ensure access to innovative and scalable IT solutions, while always considering the latest technological developments. We are very proud of the business footprint created in Romania and we are looking forward to starting towards a bright future within the Schwarz family.</p> <p> </p> <h1><strong>DevOps Engineer AI - Focus on Operations & Infrastructure (m/f/d)</strong></h1> </div><h4><span style="font-size:12.0pt">Our AI Hub develops and operates innovative, large-scale Computer Vision solutions. Our core architecture is already up and running, built on a robust cloud-native infrastructure:</span></h4> <ul> <li> <p><span style="font-size:10.0pt">Orchestration & Deployment: Kubernetes, Argo CD, and Argo Workflows for complex ETL and model training pipelines.</span></p> </li> <li style="font-size:10.0pt"> <p><span style="font-size:10.0pt">Data & Storage: PostgreSQL for metadata repository and S3 Object Storage for large-scale image data.</span></p> </li> <li style="font-size:10.0pt"> <p><span style="font-size:10.0pt">Infrastructure: Cloud-native environments (GCP, Azure, or StackIT), managed via Terraform.</span></p> </li> </ul> <p><span style="font-size:10.0pt">Your primary mission will be to support the stability, monitoring, and ongoing maintenance of this existing platform, ensuring smooth daily operations.</span></p> <h4><span style="font-size:12.0pt">The Impact You Will Create</span></h4> <ul> <li> <p><span style="font-size:10.0pt">Support System Operations: You assist in ensuring the stable, secure, and reliable operation of our existing cloud infrastructure and production Computer Vision pipelines.</span></p> </li> <li style="font-size:10.0pt"> <p><span style="font-size:10.0pt">Pipeline Maintenance and Optimization: You manage, maintain and optimize existing CI/CD processes via Argo CD and help run ETL and ML training pipelines using Argo Workflows.</span></p> </li> <li style="font-size:10.0pt"> <p><span style="font-size:10.0pt">Monitoring & Observability: You work with our monitoring and observability stack (Prometheus, Loki, Grafana) to track system health, identify bottlenecks, and resolve technical issues.</span></p> </li> <li style="font-size:10.0pt"> <p><span style="font-size:10.0pt">Infrastructure and scaling: You help maintain and update our existing infrastructure landscape using Terraform and contribute to enhancing it.</span></p> </li> <li style="font-size:10.0pt"> <p><span style="font-size:10.0pt">Collaboration with AI Engineers: You work closely with our AI development team, support them by provisioning developer VMs, and help ensure that new machine learning models are smoothly integrated into the production environment.</span></p> </li> </ul> <h4><span style="font-size:12.0pt">Experience And Skills You Will Need</span></h4> <ul> <li> <p><span style="font-size:10.0pt">You have a solid base in software engineering. You bring about 2 to 4 years of professional experience in DevOps, MLOps, or Data Engineering, with practical experience in running and maintaining software solutions.</span></p> </li> <li style="font-size:10.0pt"> <p><span style="font-size:10.0pt">Containerization & Orchestration: You have solid, hands-on experience working with Docker and Kubernetes (ideally 2+ years).</span></p> </li> <li style="font-size:10.0pt"> <p><span style="font-size:10.0pt">Infrastructure as Code: You have practical experience working with Terraform (ideally 1–2 years).</span></p> </li> <li style="font-size:10.0pt"> <p><span style="font-size:10.0pt">Cloud Platforms: You possess practical experience with at least one major cloud provider (GCP, Azure or StackIT).</span></p> </li> <li style="font-size:10.0pt"> <p><span style="font-size:10.0pt">Data & Storage: Familiarity with relational databases (PostgreSQL) and object storage (S3).</span></p> </li> <li style="font-size:10.0pt"> <p><span style="font-size:10.0pt">Programming & ML Foundations: You have good programming skills in Python and a foundational understanding of AI/Deep Learning workflows</span></p> </li> <li style="font-size:10.0pt"> <p><span style="font-size:10.0pt">Mindset: You are a proactive team player who enjoys solving technical challenges reliably, writing clean code, and learning new cloud-native technologies on the job.</span></p> </li> </ul> <h4><span style="font-size:12.0pt">Bonus skills</span></h4> <ul> <li> <p><span style="font-size:10.0pt">First exposure to Argo CD or Argo Workflows is a strong advantage.</span></p> </li> <li style="font-size:10.0pt"> <p><span style="font-size:10.0pt">Interest or first touchpoints with PyTorch or MLOps frameworks like MLflow/Kubeflow is a plus</span></p> </li> </ul><div id="csb_footer"> <p>Interested?</p> <h4><strong>We look forward to receiving your application.</strong></h4> </div>