Senior DevOps And Infrastructure Engineer (AI)

Location: Hybrid in Zagreb or Pula, Croatia

Company

hirify.global develops Asset Integrity Management software for oil and gas, chemicals, and energy companies through its IMS Suite SaaS platform.

What you will do

• Design, build, and maintain scalable Azure cloud infrastructure focused on reliability, security, performance, and operational simplicity.
• Develop reusable Infrastructure as Code patterns with Terraform, Pulumi, or similar tools.
• Build and optimize CI/CD pipelines, deployment automation, environment management, and self-service infrastructure for engineering teams.
• Drive containerization and orchestration with Kubernetes and Talos.
• Use AI-assisted and agentic tools such as GitHub Copilot, Cursor, and Codex to automate infrastructure, deployment, troubleshooting, and operational workflows.
• Improve monitoring, alerting, logging, observability, incident response, and platform reliability in collaboration with engineering, security, product, and architecture teams.

Requirements

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

Nice to have

• Experience applying machine learning, heuristic analysis, or AI-assisted techniques to log analysis, anomaly detection, and proactive troubleshooting.
• Experience building internal developer platforms, self-service deployment workflows, golden paths, or platform engineering tools.
• 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 centered on scale, reliability, innovation, and developer experience.
• Opportunity to shape cloud, infrastructure, deployment, and AI-driven automation practices across a growing SaaS platform.
• Work guided by customer obsession, ownership, accountability, growth mindset, and speed.

Hiring process

• CV screening followed by an introductory call.
• Technical interview or assessment.
• Final interview with management, followed by a job offer.