
Senior Backend Cloud Developer
3 days ago
The Advanced Messaging team focuses on delivering high-performance messaging solutions using ActiveMQ Artemis and ArkMQ.
- As a Senior Backend Developer, you will design, develop, and optimize features to enhance AMQ's performance, scalability, and execution on modern cloud platforms.
- You will contribute to maintaining the AMQ Kubernetes Operator for deploying AMQ in multiple High Availability and Disaster Recovery scenarios.
- You will collaborate with the Apache ActiveMQ and ArkMQ communities to ensure alignment with product and technical goals.
This role offers opportunities to engage with the broader open-source ecosystem and contribute to shaping the future of cloud-native integration.
Required SkillsWe are looking for individuals with advanced Java or Golang proficiency, strong understanding of enterprise integration patterns, and experience with containerized development (Docker, Kubernetes).
- Java or Golang Proficiency: Extensive hands-on experience with either Java development, with strong expertise in modern Java (Java 17+), or the GO programming language.
- Enterprise Integration: Strong understanding of messaging systems, transactional workflows, and Enterprise Integration Patterns. Experience with Apache ActiveMQ Artemis or similar frameworks is a plus.
- Cloud-Native Fundamentals: Experience with containerized development (Docker, Kubernetes). Understanding of cloud-native runtimes and Kubernetes Operators is a plus.
- Build & CI/CD Tooling: Proficiency in Maven or GO build tools. Familiarity with modern CI/CD pipelines (GitHub Actions, Jenkins, etc.)
This role offers opportunities to engage with the broader open-source ecosystem, contribute to shaping the future of cloud-native integration, and work closely with teams across QE, documentation, product management, and support to deliver high-quality features.
About UsWe are a technology company that infuses core business operations with intelligence from machine learning to generative AI to help make organizations more responsive, productive, and resilient.
Our goal is to make use of all data to extend AI deep into an organization and provide leading capabilities to train, tune, and deploy AI across business.
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