Java Springboot Developer

Job Title The resource will work remotely and will collaborate with US-based teams across time zones. The project involves developing and modernizing cloud-native microservices architecture for our digital authentication and fraud prevention platform. This initiative is part of our broader digital transformation strategy to migrate legacy monolithic applications to a scalable, resilient microservices ecosystem on Azure Cloud. The resource will play an integral role in designing, developing, and deploying high-performance, mission-critical services that handle millions of transactions daily across our digital channels. Top Responsibilities Design and develop RESTful microservices using Java 17+ and Spring Boot 3.x framework Implement distributed data models and optimize queries for Apache Cassandra clusters handling high-volume transactional data Build and deploy cloud-native applications on Microsoft Azure using AKS (Azure Kubernetes Service), Azure Functions, and Azure Service Bus Develop event-driven architectures using Kafka or Azure Event Hubs for real-time data streaming Implement API gateways, service mesh (Istio), and container orchestration using Kubernetes Write comprehensive unit tests using JUnit 5, Mockito, and integration tests for microservices Collaborate with cross-functional teams including DevOps, QA, Security, and Product teams in an Agile/Scrum environment Troubleshoot production issues, perform root cause analysis, and implement resilient solutions with proper monitoring and alerting Maintain technical documentation including architecture diagrams, API specifications (Swagger/OpenAPI), and runbooks Participate in code reviews, ensure adherence to secure coding practices, and optimize application performance Proactively identify technical debt and areas for improvement, providing innovative solutions aligned with best practices Required Skills and Technologies 10+ years of hands-on experience with Java (Java 8+, preferably Java 17) and object-oriented design principles Strong expertise in Spring Framework ecosystem, especially Spring Boot: Spring Boot, Spring Cloud, Spring Data, Spring Security, Spring REST Production experience with Apache Cassandra: data modeling, CQL queries, partition strategies, replication, and performance tuning Azure Cloud Platform: Azure Kubernetes Service (AKS), Azure Container Registry, Azure Key Vault, Azure Monitor, Application Insights Microservices architecture patterns: Circuit Breaker (Resilience4j), API Gateway, Service Discovery, Distributed Tracing Containerization and orchestration: Docker, Kubernetes, Helm charts Message-driven architectures: Kafka, RabbitMQ, or Azure Service Bus CI/CD pipelines: Jenkins, Azure DevOps, GitLab CI, or GitHub Actions Database expertise: NoSQL (Cassandra, MongoDB) and relational databases (PostgreSQL, Oracle) Version control and collaboration: Git, GitLab/GitHub, code review practices Monitoring and observability: Prometheus, Grafana, ELK Stack, Splunk, or Azure Application Insights Strong understanding of RESTful API design, OAuth 2.0, JWT authentication, and API security best practices Experience with Agile/Scrum methodologies and tools like Jira, Confluence Strong English communication skills for collaborating with US-based teams Preferred Skills Experience with Apache Kafka Streams or event sourcing patterns Knowledge of CQRS (Command Query Responsibility Segregation) and Event-Driven Architecture Experience with reactive programming using Spring WebFlux or Project Reactor Experience in financial services or banking domain, particularly authentication, fraud prevention, or payment systems Familiarity with DevSecOps practices and security scanning tools (SonarQube, Snyk, Veracode) Knowledge of service mesh technologies (Istio, Linkerd) Experience with GraphQL APIs Strong analytical and problem-solving skills with the ability to work independently Excellent communication skills and the ability to articulate complex technical concepts to both technical and non-technical stakeholders Experience working with globally distributed teams across multiple time zones Interview Process The interview process will consist of three rounds: Initial Screening Call (30-45 minutes): Behavioral interview and discussion of experience with Java, Spring Boot, Cassandra, and Azure Technical Interview (90 minutes): Live coding exercises focusing on Java/Spring Boot development Cassandra data modeling and query optimization scenarios System design discussion for microservices architecture Problem-solving scenarios related to distributed systems and cloud technologies Final Round Interview (60 minutes): Discussion with senior leadership covering architecture decisions, past project experiences, and cultural fit All interviews will be conducted via Microsoft Teams video calls.

Created: 2026-04-04