Senior Java Software Engineer

DeviceDriven 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. Show Less... Preferred Skills

Required Experience

6–12 years in backend development (Spring Boot + Cloud required) 🔹Core Responsibilities

• Build, enhance, and optimize core backend services for

earning, redemption, and partner integrations

• Implement high-quality, testable RESTful APIs with real-time messaging and event handling
• Integrate with Cloud services for storage, queuing, observability, and analytics
• Contribute to CI/CD pipelines, ensure deployment resilience and cost efficiency
• Use

AI-powered tools (Copilot, Codex, Claude) to generate code, tests, and documentation

• Participate in

data-driven monitoring , building reporting metrics into applications

• Support cross-functional collaboration with frontend, QA, and data analytics teams

🧩Technical Expertise

• Languages & Frameworks: Java 11+, Spring Boot, JPA, Hibernate, Maven/Gradle
• Cloud & Infra: AWS and GCP and associated services
• Messaging: Kafka, SQS/SNS, RabbitMQ, event streaming, pub/sub design
• Automation & DevOps: Docker, Jenkins, Terraform, GitHub Actions
• Testing: JUnit, Mockito, Testcontainers, Postman, integration testing in pipelines
• AI Productivity: GitHub Copilot, Codex, Claude and various AI tools and services
• Analytics: Expose API metrics for reporting, connect backend logs to BI/monitoring pipelines
• Security: IAM roles, OAuth2/JWT, encryption at rest & transit

💡Bonus Experience

• Experience with

real-time analytics , BI dashboards

• Working knowledge of

fraud/risk analytics and personalization APIs

• Understanding of

NoSQL + SQL coexistence patterns in microservices

🌟What You’ll Gain

• Direct exposure to production-grade, scalable cloud systems
• Ability to experiment with AI-assisted development tools
• Visibility across end-to-end product lifecycle — architecture, implementation, and delivery
• Growth into lead or architect tracks in a high-impact fintech ecosystem

How to Apply

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