DevOps Engineer

Details

• Platform & Tooling Management: Administer and optimize our enterprise-wide developer suite, including GitHub Enterprise, JFrog Artifactory, SonarQube, Jira Service Management (JSM), Jira Support Portal, and Confluence.
• Infrastructure & Security: Manage cloud-native foundational services including Azure DNS, Cloudflare edge services, and secure SFTP environments. Assist in custom image baking, OS hardening, and endpoint/cloud security tracking via XSIAM and WIZ monitoring.
• Observability & Monitoring: Maintain end-to-end system visibility across all platforms using Dynatrace.
• AI Tooling Integration: Support the deployment, hosting, and operational best practices of custom internal AI Agents and developer productivity tools.
• Kubernetes (AKS): Hands-on experience with Azure Kubernetes Service (AKS). Must possess a deep understanding of both Kubernetes administration (cluster setup, RBAC, networking, storage, node pools) and application development paradigms (manifests, ingresses, statefulsets).
• Helm: Proficient in creating, configuring, and managing Helm charts to package and deploy complex, reusable applications seamlessly onto Kubernetes clusters.
• ArgoCD: Solid experience with ArgoCD for GitOps-based continuous delivery, including managing application sync policies, automated rollouts, and cluster state reconciliation.
• DevOps & CI/CD Practices:
• Designing and maintaining robust automated pipelines (GitHub Actions / GitLab CI).
• Implementing deployment gates, automated approval checks, and branch protection rules.
• Embedding automated security testing (SAST/DAST) and artifact management.
• Continuous monitoring of pipeline health and deployment velocity.
• Infrastructure as Code (IaC): Familiarity with Terraform for provisioning cloud infrastructure.
• Monitoring & Observability: Hands-on experience with Dynatrace for full-stack monitoring, synthetic tracking, and setting up precise alerting thresholds.
• Docker & Containerization: Deep understanding of writing optimized Dockerfiles, multi-stage builds, container runtime configurations, and image security.
• Artifact Management: Administration and usage of JFrog Artifactory for secure registry hosting (Docker images, Maven, npm, NuGet, etc.).
• Core Azure Services: Proficiency across core Azure services such as Azure Virtual Networks (VNets), Azure Compute/Virtual Machines, Managed Identities, and Azure Key Vault.
• Agentic Engineering & AI Concepts: Experience or strong interest in AI-assisted development ("vibe coding"), prompt engineering, and operationalizing AI Agents. Familiarity with managing agent constraints like specific runtime rules, tool-calling skills, model selection, and token cost/usage tracking.
• Certifications: Relevant industry certifications are highly desirable:
• Microsoft Certified: Azure DevOps Engineer Expert or Azure Administrator Associate (AZ-104)
• Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD)
• Experience: 2–4 years of dedicated experience in a DevOps, Cloud Engineering, or Systems Engineering role.
• Education: Bachelor’s degree in Computer Science, Information Technology, or a related technical field (or equivalent practical experience).
• Mindset: A strong "automation-first" approach to problem-solving. Excellent documentation skills and a collaborative mindset to support internal developer communities.