Java Developer

Brief DescriptionDeviceDriven is contributing engineering expertise to a major fintech-led digital transformation initiative focused on modernizing a global-scale transaction and engagement platform.The platform powers millions of secure, real-time transactions across ecosystems such as travel, retail, and digital assets — delivering data-driven, scalable, and frictionless experiences for consumers and enterprise partners. Built on the foundations of cloud-native architecture, microservices, and AI-powered intelligence, the program aims to redefine how next-generation financial and digital platforms operate at scale. What You’ll Work On You’ll join a high-impact engineering team responsible for:

Re-architecting and enhancing core transaction modules — including payment flows, partner integrations, and data processing pipelines. Building AI-assisted APIs for personalization, fraud prevention, and dynamic decisioning. Leveraging cloud platforms for scalable compute, messaging, analytics, and data infrastructure. Using Generative AI tools (OpenAI, GitHub Copilot, Claude, etc.) to accelerate development and improve quality. Implementing real-time observability and insights systems to surface intelligence across partners, customers, and transactions.

 Preferred SkillsRequired  Experience 3–7 years Core Responsibilities

Develop and enhance backend services, implement REST APIs and data access layers Work closely with senior engineers to adopt best practices in Cloud deployments Contribute to real-time messaging and integration modules Leverage AI development assistants for code generation, documentation, and test automation Participate in implementing API analytics, monitoring, and reporting dashboards Improve performance and resilience of backend modules

Technical Expertise

Languages & Frameworks: Java, Spring Boot, REST, JPA/Hibernate Cloud: AWS/GCP and various services Messaging: Kafka basics, SQS/SNS, async event flows Dev Tools: Git, Docker, Jenkins, Maven/Gradle AI Tools: GitHub Copilot, Codex, Claude and various AI tools and services Analytics & Reporting: Logging and metrics in CloudWatch, exposure to QuickSight or Grafana Quality & Testing: Unit/integration testing, understanding of TDD concepts

Bonus Experience

Exposure to event-driven design or reactive programming Familiarity with BI tools, API analytics, or report dashboards Interest in AI-assisted engineering, prompt-driven development

What You’ll Gain

Hands-on experience with microservices and cloud in a production environment Mentorship from senior architects and access to AI productivity tooling Exposure to real-world analytics, reporting, and data insights pipelines A collaborative culture emphasizing innovation, learning, and craft

How to Apply Send your resume, GitHub/LinkedIn profile, and a short introduction to: jobs@devicedriven.com