Senior DevOps Engineer (Azure, AI)

TL;DR

Senior DevOps Engineer (Azure/AI): Designing and maintaining scalable cloud infrastructure for an Asset Integrity Management SaaS platform with an accent on IaC, CI/CD automation, and platform reliability. Focus on integrating AI-assisted and agentic tooling to streamline DevOps workflows, improve engineering productivity, and automate operational tasks.

Location: Must be based in Croatia (Zagreb/Pula for hybrid) or the UK (remote)

Company

hirify.global builds Asset Integrity Management software trusted by global leaders in the Oil & Gas, Chemicals, and Energy sectors.

What you will do

• Design and maintain scalable cloud infrastructure on Azure with a focus on security and performance.
• Improve Infrastructure as Code practices using Terraform or Pulumi to create reusable patterns.
• Build and optimize CI/CD pipelines for application and infrastructure deployments.
• Drive containerization and orchestration using Kubernetes and Talos.
• Implement AI-assisted tools like GitHub Copilot and Cursor to automate pipeline creation and operational runbooks.
• Enhance observability, logging, and incident response practices to improve platform reliability.

Requirements

• 8+ years of professional experience in DevOps, Infrastructure, or Platform engineering.
• Must be based in Croatia or the UK.
• Hands-on experience with Azure cloud services and cloud-native infrastructure design.
• Strong practical knowledge of CI/CD, deployment automation, and environment management.
• Experience with Infrastructure as Code tools such as Terraform or Pulumi.
• Understanding of containers, Kubernetes, AKS, Ansible, and networking.

Nice to have

• Experience with machine learning or heuristic analysis for log anomaly detection.
• Background in building internal developer platforms or self-service workflows.
• Knowledge of security automation, policy-as-code, or FinOps practices.
• Exposure to AI infrastructure, MLOps, or data pipelines.

Culture & Benefits

• Work in a product-focused engineering environment dedicated to scale and reliability.
• Opportunity to shape modern cloud and deployment practices for a growing SaaS platform.
• Direct impact on developer experience through AI-driven automation.
• Focus on reducing manual effort and improving system stability.