Java Springboot Developer

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.

• 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 Dev Ops, 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

• 10+ years of hands‑on experience with Java (Java 8+, preferably Java 17) and object-oriented design principles
• Strong expertise in Spring Framework ecosystem
  ; particularly 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, Rabbit
  
  MQ, or Azure Service Bus
• CI/CD pipelines
  :
  Jenkins, Azure Dev Ops, Git Lab CI, or Git Hub Actions
• Database expertise
  :
  No
  
  SQL (Cassandra, Mongo
  
  DB) and relational databases (Postgre
  
  SQL, Oracle)
• Version control and collaboration
  :
  Git, Git Lab/Git Hub, 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

• Experience with Apache Kafka Streams or event sourcing patterns
• Knowledge of CQRS and Event-Driven Architecture
• Experience with reactive programming using Spring Web Flux or Project Reactor
• Experience in financial services or banking domain
  , particularly authentication, fraud prevention, or payment systems
• Familiarity with Dev Sec Ops  practices and security scanning tools (Sonar Qube, Snyk, Veracode)
• Knowledge of service mesh technologies (Istio, Linkerd)
• Experience with GraphQL APIs
• Strong analytical and problem-solving skills with ability to work independently
• Excellent communication skills and ability to articulate complex technical concepts to both technical and non-technical stakeholders
• Experience working with globally distributed teams across multiple time zones

• 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
.

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.