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
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