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# Software Engineer - Confluent Stream Processing & Analystics

- **Company:** IBM
- **Location:** Hursley, UK
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Client Server Models, Cloud Computing, Code Review, Databases, Data Structures, Software Debugging, Distributed Systems, Open Source Technology, Software Engineering, SQL Databases, Concurrency, Caching, Backend, Git, Kubernetes, Code Testing, Apache Kafka, Restful APIs, Stream Processing, Docker, Confluent, Programming Languages
- **Published:** July 22, 2026
- **Apply:** https://dejobs.org/x/x/22E7A86A188F4F31A69FC259BA800A82/job/

## About the Role

* Strong coding fundamentals: Proficient in at least one programming language with solid understanding of data structures, algorithms, and time/space complexity.
 * Problem-solving ability: Can independently solve medium-complexity coding problems, debug issues, and break down ambiguous requirements into actionable tasks.
 * Clean engineering practices: Writes readable, maintainable code, uses Git effectively, and follows code review and testing best practices.
 * Backend/API and database basics: Understands REST APIs, HTTP fundamentals, SQL, and basic system design concepts such as client-server architecture and caching.
 * Ownership and learning mindset: Takes initiative, seeks feedback, learns quickly, and can deliver assigned tasks with minimal supervision.
 * Strong communication and collaboration: Communicates progress, asks thoughtful questions when blocked, and works effectively within an agile team.

Required technical and professional expertise

Hands-on software development experience (new grads welcome)

Solid fundamentals in data structures, algorithms, concurrency, networking, and operating systems

Ability to write clean, maintainable, well-tested code in at least one modern language (Java, Go, or similar)

Curiosity about distributed systems and how large-scale services like Kafka are designed and operated

A self-starter mindset - comfortable asking questions, seeking feedback, and iterating based on code review

Strong communication skills and willingness to collaborate closely with a small team

Preferred technical and professional experience

Coursework or projects involving Apache Kafka, distributed systems, or cloud infrastructure

Exposure to Kubernetes, Docker, or cloud platforms (AWS/GCP/Azure)

Contributions to open-source projects. - Interest in observability or platform engineering



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