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Addepto is seeking a Senior Java Developer to join a modernizing, cloud-native platform project. You will implement backend services with Java and Spring Boot, rework legacy logic, and ensure production readiness with automated tests and CI/CD.
You will work on Azure-based services, PostgreSQL data layer, and data migration tooling, contributing to a platform that supports real-time operations and analytics across large datasets.
Addepto is a leading AI consulting ( https://addepto.com/ai-consulting/ ) and data engineering ( https://addepto.com/data-engineering-services/ ) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.
The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide .
As part of KMS Technology , a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.
We are modernizing a large, business-critical operational platform that has evolved over many years and combines application logic, database-level rules, and partly manual operational processes. The project involves transitioning the existing solution towards a modern, cloud-native architecture , delivered by a small senior team working with heavy AI leverage.
As a Senior Java Developer , you will join the team at the moment when requirements and target architecture are in place and the build starts. This is a hands-on implementation role — the large majority of your time goes into writing, testing, and shipping production code, not into high-level design or governance.