Mid Full-Stack Engineer - Java

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.

• →Design, build, and maintain complex backend services primarily using Java and the JVM ecosystem
• →Work on distributed, multithreaded systems that support automation, orchestration, and state-machine-based platforms such as AgentOS
• →Contribute to feature development and unification across multiple SaaS products, including Answers and Moments
• →Occasionally contribute to frontend development using React and TypeScript, without being a primary frontend owner
• →Collaborate closely within a small, cross-functional initiative team, participating in planning, reviews, and retrospectives
• →Write and maintain unit and integration tests to ensure reliability, scalability, and long-term maintainability of the systems
• →Apply an AI-first mindset, including exploring and integrating AI or LLM-based capabilities into product features where releva

• At least 3+ years of professional experience as a software engineer, with a strong focus on backend development
• Solid expertise in Java and object-oriented programming; JVM experience (Java, Kotlin, or Scala)
• Solid understanding of multithreading, concurrency, and building complex, scalable systems
• Experience working with distributed systems and multiple interconnected services
• Applying an AI-first mindset when approaching engineering problems.
• Effectively leveraging AI to improve code quality, testing processes, and technical documentation.
• Ability to work effectively in small teams, taking ownership and driving solutions end to end
• Fluent in English, both spoken and written

• Familiarity with frontend technologies such as React and TypeScript
• Exposure to AI, NLP, or LLM-based systems, especially integrating AI into production environments
• Experience working on large SaaS platforms with a broad set of customers and use cases

Read more about our hiring process.