Senior Azure DevOps Engineer (Data Platform)

Who are we

KEBA Novi Sad is part of the Austrian KEBA Group, a technology company with more than 50 years of experience in industrial automation, energy management, banking automation, e-mobility and logistics.

Location & work model

This role is based in Novi Sad. We work in a hybrid setup with one guaranteed home office day per week, while additional remote days are possible depending on the project and team needs.

Since we are building a new engineering capability from the ground up, we believe close day-to-day collaboration is essential. That's why this is primarily an on-site role.

Help us build KEBA's Data Platform

KEBA is building an enterprise data platform that will provide the foundation for data, analytics and AI across the entire Group.

After developing our first data products, exploring different architectural approaches and building our Data Engineering capability, we are now entering the next phase: turning what we have built into a reliable, secure and scalable platform.

We are looking for an experienced Azure DevOps Engineer who wants to take technical ownership of our cloud infrastructure, automation and operational practices, while helping us strengthen our in-house DevOps competence in Novi Sad.

You will work alongside Data Engineers and experienced internal and external experts, taking ownership of the infrastructure, automation and operational foundations that allow our data platform for years to come.

We are building a platform for the next decade—not for the next sprint. That also shapes the way we work: we value automation, thoughtful engineering, sustainable pace and long-term thinking over constant firefighting.

What will you actually do?

As a Senior Azure DevOps Engineer, you will help shape, build and operate the infrastructure and automation behind KEBA's enterprise data platform.

Your focus will be on making our platform reliable, secure, repeatable and easy to operate. You will take ownership of key DevOps topics, support Data Engineers in running their workloads and help define how DevOps and DataOps practices evolve within our team.

You will remain hands-on while having the opportunity to grow into a technical leadership role and help develop the competence of other engineers.

• Operate and continuously improve our Azure-based enterprise data platform
• Design, implement and maintain CI/CD pipelines and release processes, primarily using GitLab
• Implement and manage Infrastructure as Code across platform environments
• Establish and improve monitoring, logging, alerting and operational support practices
• Ensure platform reliability, performance, availability and infrastructure cost efficiency
• Support Data Engineers in deploying, operating and troubleshooting data workloads
• Contribute to cloud architecture, networking, access management and compliance practices
• Take ownership of technical topics, establish engineering standards and share knowledge across the team

Requirements

• 3+ years of professional experience in DevOps, Cloud Infrastructure or Platform Engineering, including substantial hands-on experience with Microsoft Azure.
• Strong hands-on experience with Microsoft Azure and modern cloud infrastructure
• Solid experience in Git (GitLab), CI/CD and release management
• Experience with Terraform or another Infrastructure as Code tool
• Good understanding of cloud networking concepts
• Programming or scripting experience, preferably Python
• Experience with monitoring, logging and troubleshooting production systems
• Strong automation mindset, ownership and problem-solving skills
• Professional proficiency in English

Nice to have

• Knowledge of Azure networking technologies
• Experience with Docker, Kubernetes and containerized workloads
• Experience mentoring engineers or leading technical initiatives
• Familiarity with SQL
• Familiarity with DataOps practices and working closely with Data Engineering teams

Benefits offered by KEBA

• Great team spirit nurtured as a main aspect of our company’s culture
• Flexible working hours
• Compensatory time (no lost overtime hours/minutes)
• Hybrid work mode: combining home office and on-site work
• 22 vacation days (+ additional days for loyal employees)
• Self-learning time (10% of total working time)
• Private health insurance
• Covered parking fees