📌 We are seeking a highly experienced Azure DevOps Engineer on behalf of our client to join to the leader from the largest Swiss financial holding company.📍Work mode: hybrid - 3 days a week working from the client's office in KrakówExperience8–10 years total IT experience4–5 years relevant experience specifically in Azure DevOps practices5+ years hands-on with: GitLab, Terraform, Azure, Azure DevOps (ADO), Azure Data Lake, Azure Kubernetes Service (AKS), Spark, DatabricksRole SummaryWe are seeking a seasoned Azure DevOps Engineer to design, automate, and run secure, scalable CI/CD pipelines and cloud infrastructure in Azure. The ideal candidate brings deep hands-on experience with Terraform, AKS/Kubernetes, Helm, Grafana, and either Jenkins and/or Azure DevOps/GitLab for pipeline orchestration. Exposure to data engineering stacks (Spark, Databricks, Azure Data Lake) is important for enabling analytics and ML workloads in production.Key ResponsibilitiesDesign, build, and maintain CI/CD pipelines using Azure DevOps (ADO) and/or Jenkins and GitLab CI, including multi-stage deployments, environment promotions, approvals, and rollback strategies.Implement Infrastructure as Code (IaC) with Terraform (modules, remote state, workspaces) for Azure resources—AKS, VNets, Key Vault, ACR, Azure Data Lake Storage (ADLS), and supporting services.Operate and harden Kubernetes (AKS) clusters: networking, ingress, scaling, node pools, policy, and security baselines.Package and release workloads using Helm; manage chart versioning, values, and environment overlays.Set up end-to-end observability: Grafana dashboards, Prometheus/Alertmanager integrations, Azure Monitor/Log Analytics, actionable alerting tied to SLOs.Integrate and automate deployments for Spark/Databricks jobs and data pipelines, including secrets, configuration, and scheduling.Embed DevSecOps controls across pipelines: image and IaC scanning, SBOM, supply-chain security, secrets management via Azure Key Vault.Troubleshoot production issues, conduct RCAs, improve reliability, performance, and cost efficiency.Create reusable templates/libraries and documentation; mentor engineers and champion best practices.Must-Have SkillsCI/CDAzure DevOps (ADO) (5+ yrs): YAML pipelines, environments, artifacts, approvals, service connections.GitLab CI (5+ yrs): runners, pipeline-as-code, templates, artifacts.Jenkins: scripted/declarative pipelines, shared libraries (nice if both Jenkins & ADO/GitLab).Terraform (5+ yrs)Modules, remote backends, state mgmt, workspaces, policy-as-code (OPA/Conftest), PR validations; strong Azure provider experience.Azure (5+ yrs)Core services (Compute, Networking, Storage), Azure Data Lake (ADLS), Key Vault, ACR, RBAC/IAM.Kubernetes / AKS (5+ yrs)Cluster operations, CNI networking, ingress controllers (Nginx/AGIC), HPA/VPA, Pod Security, PDBs, node pools, taints/tolerations.HelmAuthoring and managing charts, values, release strategies (blue/green, canary).ObservabilityGrafana dashboards, Prometheus metrics/alerts; Azure Monitor/Log Analytics, KQL basics.Containers & AutomationDockerfile best practices (multi-stage, non-root), scripting (Bash/PowerShell; Python/Groovy a plus).Data Engineering IntegrationSpark and Databricks CI/CD integration, job orchestration, configuration, and basic performance awareness.Good-to-HaveGitOps (Argo CD/Flux), Helmfile, KustomizeSecurity: container/IaC scanning (Trivy/Anchore/Checkov), image signing, supply-chain (SLSA)Networking/Security: Azure Firewall, Private Link, VNets/Peering, NSGs, WAFIaC at scale: Terraform Cloud/Enterprise, Terragrunt, AtlantisCost optimization for AKS and data workloads (spot nodes, autoscaling, right-sizing)Service Mesh (Istio/Linkerd), API gateways, Zero Trust patternsQualificationsBachelor’s/Master’s in Computer Science, Engineering, or equivalent practical experience.Proven success running production-grade systems on Azure + AKS with automated CI/CD and Terraform.Experience partnering with data engineering teams on Databricks/Spark/ADLS deployments.📩 If you’re interested and meet the qualifications, please send your CV to Alina Pchelnikova at [email protected]