Java Backend Developer

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. A little about us...

Role :

Java Backend Developer Location :

Berkeley heights,

NJ Job Description:

VisionNext/VisionPlCards or Payments Experience is needed Java, Spring Boot Microservices with Knowledge on AWS Key Responsibilities Design, develop, and optimize backend services for card payments and transaction systems, ensuring low latency, fault tolerance, and multi-region resiliency. Build high-throughput APIs and microservices using modern Java frameworks (Spring Boot, Reactor). Collaborate closely with product, architecture, and SRE teams to evolve Vision Next / VisionPLUS services for cloud-native, real-time scalability. Use AWS services (ECS, Lambda, RDS, ) to architect resilient, secure, and observable applications. Write efficient algorithms for transaction routing, settlement, reconciliation, or fraud-detection modules. Contribute to system design sessions and architecture decisions, applying deep reasoning to scalability trade-offs, consistency models, and data partitioning. Evaluate and optimize application throughput, concurrency handling, and API lifecycle management across multi-region clusters. Implement DevOps and CI/CD automation for build, test, and deployment pipelines (GitHub Actions, Jenkins, or CodePipeline). Mentor junior engineers, conduct code reviews, and drive engineering excellence through reusable design patterns. Required Qualifications Bachelor s or master s degree in computer science or related field. 7+ years of backend engineering experience in payments, fintech, or high-transaction enterprise systems. Strong proficiency with Java / Spring Boot, data structures, algorithms, and system-level design principles. Solid understanding of AWS core services and architectural best practices for scalable distributed systems. Experience with multi-region, active-active, or near-real-time architectures for payment or settlement systems. Deep debugging, profiling, and performance optimization skills in concurrent, distributed environments. Strong analytical reasoning and data-driven problem-solving mindset. Preferred Qualifications Expertise in Python programming for backend development and automation. Experience with Vision Next or Vision PLUS modules (CMS, ASM, or TRAMS) or other card processor platforms. Familiarity with payment rails (Visa, Mastercard, RTP, ACH) and transaction lifecycle management. Knowledge of Kafka, Redis, or Aerospike for event-driven processing and caching. Exposure to container orchestration (ECS, EKS, or Kubernetes) and observability platforms (Grafana, Datadog, or OpenTelemetry). Understanding of PCI-DSS, data encryption, and regulated financial data operations. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.