AI and ML Ops Engineer (all genders)

Job-ID:15955; Location(s):Krakow

We are seeking a highly skilled and experienced AI & ML DevOps Engineer (all genders) to join our dynamic technology team. In this crucial role you will be responsible for designing implementing managing and optimizing our cloud infrastructure primarily on Microsoft Azure with a strong emphasis on Kubernetes (AKS). You will champion automation build robust CI/CD pipelines enhance system reliability and scalability and collaborate closely with development teams to streamline the software delivery lifecycle.

This position is exclusively located at our IT Site in Krakow Poland.

Key Responsibilities:

• Infrastructure as Code (IaC): Design build and maintain resilient scalable and secure Azure infrastructure using IaC principles (e.g. Terraform Bicep ARM Templates)
• Kubernetes Management: Deploy manage scale and troubleshoot Kubernetes clusters (specifically Azure Kubernetes Service - AKS). Implement best practices for cluster security monitoring networking and governance
• CI/CD Pipeline Automation: Develop manage and optimize CI/CD pipelines (using tools like Azure DevOps Pipelines GitHub Actions Jenkins GitLab CI Scalr) to enable rapid reliable and automated software releases
• Azure Cloud Services: Manage and configure a wide range of Azure services including Compute (VMs App Services) Storage (Blob Files Disks) Networking (VNet Load Balancers Application Gateway Firewall) Databases (Azure SQL Cosmos DB) Monitoring (Azure Monitor Log Analytics Application Insights) and Security (Azure AD Key Vault Security Center)
• Containerization: Work extensively with Docker for containerizing applications and manage container registries (e.g. Azure Container Registry)
• Monitoring Logging & Alerting: Implement and manage comprehensive monitoring logging and alerting solutions (e.g. Azure Monitor Prometheus Grafana ELK/EFK Stack) to ensure system health performance and availability
• Automation & Scripting: Automate manual operational tasks using scripting languages (e.g. PowerShell Bash Python)
• Collaboration & Support: Work closely with software developers QA engineers and other IT staff to troubleshoot issues optimize application performance and ensure smooth deployments. Provide operational support and participate in on-call rotations if required
• Security: Implement and enforce security best practices across the infrastructure and deployment pipelines (DevSecOps principles). Manage secrets and ensure compliance requirements are met
• Cost Optimization: Monitor Azure resource utilization and implement strategies for cost optimization
• Documentation: Maintain clear and accurate documentation for infrastructure configurations processes and procedures

Required Qualifications:

• Bachelors degree in Computer Science Engineering or a related field
• 3-5 years of experience in a DevOps SRE or similar infrastructure-focused role
• Proven hands-on experience managing production workloads onMicrosoft Azure
• Deep understanding and practical experience withKubernetes (preferably AKS) including cluster administration Helm charts ingress controllers and networking
• Strong experience designing building and maintaining automatedCI/CD pipelines
• Proficiency withInfrastructure as Code tools (Terraform strongly preferred; Bicep/ARM acceptable)
• Solid experience withcontainerization technologies (Docker)
• Proficiency in scripting languages such asPowerShell Bash or Python
• Experience with monitoring and logging tools (e.g. Azure Monitor Prometheus Grafana ELK)
• Solid understanding of networking concepts (TCP/IP DNS VPNs Load Balancing Firewalls)
• Familiarity with version control systems (Git)
• Excellent problem-solving and troubleshooting skills
• Strong communication and collaboration skills

• Azure Certifications (e.g. AZ-400: Designing and Implementing Microsoft DevOps Solutions AZ-104: Microsoft Azure Administrator)
• Kubernetes Certifications (e.g. CKA CKAD)
• Experience with other cloud platforms (AWS GCP)
• Experience with configuration management tools (e.g. Ansible Chef Puppet)
• Experience implementing DevSecOps practices
• Familiarity with service mesh technologies (e.g. Istio Linkerd)
• Experience managing databases (SQL and NoSQL)

What We Offer

• A dynamic working environment with exciting projects in the field of artificial intelligence and machine learning
• The opportunity to utilize innovative technologies and actively contribute to their further development
• A motivated team looks forward to working with you. Our strong team spirit helps us achieve our common goals
• Stability and career growth: As a growing family-owned company with an international focus Viega offers both
• Comprehensive onboarding and training through our Viega Academy to support you in your role and personal development

Your contact person:

Anne 49 (2722) 61 - 5893