Senior DevOps and Infrastructure Engineer (Azure)

Location: Zagreb, Croatia — hybrid; Pula, Croatia — hybrid; UK — remote

Company

Product-focused software company building Asset Integrity Management software for leaders in Oil & Gas, Chemicals, and Energy.

What you will do

• Design, build, and maintain scalable Azure cloud infrastructure focused on reliability, security, performance, and operational simplicity.
• Own Infrastructure as Code practices with Terraform, Pulumi, or similar tools, creating reusable environment-management patterns.
• Build and optimize CI/CD pipelines for application, infrastructure, and platform deployments.
• Enable engineering teams with self-service infrastructure, deployment templates, automation scripts, documentation, and platform standards.
• Drive containerization and orchestration with Kubernetes and Talos, while embedding monitoring, compliance, security, and disaster recovery into workflows.
• Apply AI-assisted tools such as GitHub Copilot, Cursor, and Codex to automate DevOps work and improve troubleshooting, incident response, and platform operations.

Requirements

• 8+ years of professional experience in DevOps, infrastructure engineering, platform engineering, or a similar role in a SaaS or product-based environment.
• Hands-on experience with Azure or similar cloud services and cloud-native infrastructure design.
• Strong practical knowledge of CI/CD, deployment automation, release pipelines, and environment management.
• Experience with Terraform, Pulumi, or similar Infrastructure as Code technologies.
• Understanding of containers, Kubernetes, AKS, Ansible, Packer, networking, security, monitoring, and reliability practices.
• Practical experience with AI-assisted coding or automation tools, or a strong interest in applying them to DevOps and infrastructure workflows.

Nice to have

• Experience with machine learning, heuristic analysis, or AI-assisted log analysis, anomaly detection, and proactive troubleshooting.
• Experience building internal developer platforms, self-service deployment workflows, golden paths, or platform engineering tooling.
• Experience with security automation, policy-as-code, cloud cost optimization, or FinOps.
• Exposure to AI infrastructure, MLOps, data pipelines, or AI-enabled products.

Culture & Benefits

• Product-focused engineering environment where DevOps and infrastructure support scale, reliability, and innovation.
• Opportunity to shape cloud, infrastructure, and deployment practices across a growing SaaS platform.
• Opportunity to introduce practical AI-driven automation that reduces manual effort and improves developer experience.