Posted:
3/31/2026, 11:31:58 PM
Location(s):
City of Zagreb, Croatia
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
DevOps & Infrastructure ⋅ Software Engineering
Workplace Type:
Hybrid
Working at Infobip means being part of something truly global. With 75+ offices across six continents, we’re not just building technology — we’re shaping how more than 80% of the world connects and communicates.
As employees, we take pride in contributing to the world’s largest and only full-stack cloud communication platform. But it’s not just what we do, it’s how we do it: with curiosity, passion, and a whole lot of collaboration.
We operate with an AI-first mindset, embedding intelligent tools into our daily workflows to work smarter and more efficiently. Every role here benefits from and contributes to this approach.
If you're looking for meaningful work and challenges that grow you in a culture where people show up with purpose, this is your opportunity.
Let’s build what’s next, together.
What this role is all about
As a DevOps Engineer, you will work on infrastructure at a scale most engineers never touch, operating more than 100 Elasticsearch clusters with more than 1.2 petabytes of data across multi-cloud and on-prem environments. You will join the team at an exciting moment, with direct exposure to ongoing work that connects Elasticsearch platforms with AI systems, contributing from day one.
The team values automation, clear documentation, with a strong focus on long-term reliability rather than quick fixes. You will have real ownership over how systems are built and evolved, working in a collaborative environment where code reviews, knowledge sharing, and honest feedback are part of everyday work, all within Infobip, a global leader in cloud communications with engineering teams worldwide.
What you’ll do
Operate, maintain, and upgrade Elasticsearch clusters, including index management, cluster maintenance, reboots, and version upgrades
Automate infrastructure and operational processes using Ansible, focusing on readable, maintainable automation
Work daily with Linux-based systems in containerized environments using Docker
Design, implement, and maintain monitoring, alerting, and observability solutions for large-scale systems
Contribute to CI/CD pipelines and automation supporting deployment, testing, and operational workflows
Perform performance analysis and troubleshooting on distributed systems handling very large data volumes
Collaborate with developers and other DevOps engineers to support custom services built around Elasticsearch using Java-based components
Participate in team rituals such as sprint planning, daily stand-ups, and on-call rotations with a best-effort response model
What makes you a strong fit
3+ years of hands-on experience working as a DevOps Engineer or in a similar infrastructure-focused role
Solid experience working with Linux systems and containerized environments (Linux, Docker)
Hands-on experience with automation tools, especially Ansible
Experience operating or supporting distributed systems or data platforms at scale
Understanding of CI/CD concepts and tools, including version control and automated deployments
Practical experience with monitoring and observability tools such as Prometheus, Grafana, or similar platforms
Problem-solving mindset with a focus on stability, scalability, and reliability
Comfortable collaborating within a team, sharing knowledge, and giving and receiving constructive feedback
Fluent in English, both spoken and written
Nice-to-have qualifications
Experience with Elasticsearch or OpenSearch, including large clusters and diverse use cases
Exposure to observability or logging platforms, especially those built on Elasticsearch (for example, Graylog)
Familiarity with Kafka-based environments or data-intensive platforms
Experience working with distributed systems, e.g. Kubernetes
Experience working in Agile teams with sprint-based delivery
Curiosity for underlying technologies and a desire to continuously learn and explore beyond assigned tasks
Familiarity with AI/LLM concepts — how models consume data, tool use, or MCP/agent architectures
Experience integrating infrastructure with AI platforms or building data pipelines that feed AI systems
Diversity drives connection
Infobip is built on diverse backgrounds, perspectives, and talents. We’re proud to be an equal-opportunity employer and are committed to fostering an inclusive workplace.
No matter your race, gender, age, background, or identity — if you have the passion and skills to thrive, there’s a place for you here.
All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, age, sex, sexual orientation, gender, gender identity, national origin, citizenship, disability, veteran status or any other part of one's identity.
Read more about our hiring process.
#LI-TF1Website: https://infobip.com/
Headquarter Location: London, England, United Kingdom
Employee Count: 1001-5000
Year Founded: 2006
IPO Status: Private
Last Funding Type: Debt Financing
Industries: Enterprise Software ⋅ Internet of Things ⋅ Messaging ⋅ Mobile Apps ⋅ SaaS ⋅ Telecommunications