This role is primarily focused on DevOps, infrastructure enablement, IaC, deployment automation, and platform reliability. You will also play an important part in shaping how we use AI and agentic tooling (i.e. Copilot, Cursor, Codex, and similar tools) to make DevOps work faster, smarter, and more scalable.
What You'll Do
DevOps, Infrastructure & Platform Enablement
- Design, build, and maintain scalable cloud infrastructure on Azure, with a strong focus on reliability, security, performance, and operational simplicity.
- Own and improve Infrastructure as Code practices using Terraform, Pulumi, or similar tools, creating reusable patterns that help teams provision and manage environments consistently.
- Build, optimize, and automate CI/CD pipelines for application, infrastructure, and platform deployments across environments.
- Enable engineering teams by creating self-service infrastructure, deployment templates, automation scripts, documentation, and platform standards.
- Drive containerization and orchestration practices using Kubernetes and Talos, ensuring our platform can scale reliably and efficiently.
- Embed security, compliance, monitoring, and disaster recovery considerations into infrastructure and deployment workflows from the start.
AI-Assisted DevOps Automation
- Use AI-assisted and agentic tools to automate repetitive DevOps work, including pipeline creation, IaC generation, environment provisioning, deployment workflows, and operational runbooks.
- Experiment with tools such as GitHub Copilot, Cursor, Codex, and similar solutions to improve engineering productivity and reduce manual infrastructure effort.
- Identify opportunities to apply AI to troubleshooting, incident response, monitoring, release management, and platform operations.
- Help define practical, secure, and scalable ways of using AI in DevOps processes, while maintaining strong engineering standards and governance.
Observability, Reliability & Continuous Improvement
- Improve monitoring, alerting, logging, and observability practices to help teams detect issues earlier and resolve incidents faster.
- Analyze platform performance, deployment quality, incidents, and recurring operational patterns to recommend practical improvements.
- Collaborate closely with software engineering, security, product, and architecture teams to continuously improve our delivery and infrastructure standards.
What You'll Need
- 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 Infrastructure as Code tools such as Terraform, Pulumi, or similar technologies.
- Good understanding of containers, Kubernetes, AKS, Ansilbe, Packer, networking, security, monitoring, and reliability practices.
- Practical experience using AI-assisted coding or automation tools, or a strong interest in applying them to DevOps and infrastructure workflows.
- A strong enablement mindset: you enjoy creating standards, reusable solutions, documentation, and automation that help engineering teams move faster andmore safely.
Bonus Points
- Experience using machine learning, heuristic analysis, or AI-assisted techniques to analyze logs, detect anomalies, spot trends, and support proactive troubleshooting.
- Experience building internal developer platforms, self-service deployment workflows, golden paths, or platform engineering tooling.
- Experience with security automation, policy-as-code, cost optimization, or FinOps practices in cloud environments.
- Exposure to AI infrastructure, MLOps, data pipelines, or supporting engineering teams that build AI-enabled products.
Working Locations
- Croatia, Zagreb - Hybrid
- Croatia, Pula - Hybrid
- UK - Remote
Why Join Us?
- Join a product-focused engineering environment where DevOps and infrastructure directly enable scale, reliability, and innovation.
- Shape modern cloud, infrastructure, and deployment practices across a growing SaaS platform.
- Introduce practical AI-driven automation that helps engineering teams work faster, smarter, and with greater confidence.
- Work on meaningful platform improvements that reduce manual effort, improve reliability, and create a better developer experience.