Java Backend Developer (Cloud and Data Platform)

PRI Global

$100K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of professional experience in backend application development and cloud engineering.
  • Strong expertise in Java, Spring Boot, and microservices architecture.
  • Hands-on experience with Kubernetes, Docker, and CI/CD tools.
  • Proficient in SQL and NoSQL databases (Postgres, MongoDB).
  • Knowledge of caching technologies such as Redis and Memcached.
  • Familiar with cloud services (AWS, Azure, GCP) and monitoring tools (Prometheus, Grafana).
  • Good understanding of cloud concepts related to security and scalability.

Responsibilities

  • Design and maintain high-throughput backend services and APIs using Java 17+ and Spring Boot.
  • Deploy applications in Kubernetes environments for scalability and availability.
  • Implement caching strategies to optimize performance and reduce database load.
  • Develop event-driven architectures using messaging systems like Kafka.
  • Maintain database schemas and write optimized SQL/NoSQL queries.
  • Collaborate on CI/CD pipelines and monitor services with observability tools.

Benefits

  • Collaborative working environment with cross-functional teams.
  • Exposure to cutting-edge technologies in cloud computing and microservices.
  • Opportunities for professional development in Agile and DevOps practices.
  • Hands-on experience with advanced cloud infrastructure and services.
  • Participation in significant projects within digital banking and data platforms.
Full Job Description
Title: Java Backend Developer with Cloud and Data Platform

Location: Berkeley Heights, NJ (5 Days Onsite)

Job Description:

We are seeking a Java Backend Resource having 8+ years of professional experience in backend application development, cloud engineering, and enterprise system integration with strong expertise in building, deploying, and supporting API-driven applications . The candidate must have deep hands-on experience with Java Backend, K8 Micro Services, Redis, Memcache, Cloud services, and CI/CD pipelines , along with the ability to design scalable, secure, and resilient cloud solutions.

This role requires close collaboration with cross-functional teams, adherence to DevOps and Agile practices, and ownership of service quality and delivery.

Key Responsibilities
  • Microservices Development: Design, develop, and maintain high-throughput backend services and RESTful / event-driven APIs (Kafka) using Java 17+ and Spring Boot .
  • Cloud-Native Deployment: Deploy and manage applications in Kubernetes (K8s) environments, ensuring scalability and high availability.
  • Caching & Optimization: Implement caching strategies using Redis or Memcached to minimize database load and optimize performance.
  • Event-Driven Systems: Work with messaging systems (e.g., Kafka) to create asynchronous, event-driven architectures.
  • Database Management: Maintain database schemas and write optimized queries for SQL (PostgreSQL, MySQL) and NoSQL (Cassandra, MongoDB) databases.
  • CI/CD & DevOps: Collaborate on CI/CD pipelines ( ArgoCD, Jenkins, Artifactory, DevSecOps ) and monitor services using observability tools

Mandatory Technical Skills & Competencies
  • Functional Domain: Good understanding of Cloud and Data Platform like Fraud Detection, Digital Banking, Data Lake Management, and Core Banking Modernization
  • Language: Expertise in Java and Spring Boot framework.
  • rchitecture: Strong experience building, testing, and troubleshooting Microservices .
  • Infrastructure: Hands-on experience with Docker and Kubernetes (K8s) , Containerized application deployment concepts, Configuration, scaling, and environment management awareness
  • Caching Technologies: Experience managing data storage/caching with Redis or Memcached .
  • Database: Proficient in SQL and NoSQL database design.
  • Tooling: Familiarity with Git, Maven/Gradle, and CI/CD tools like (ArgoCD, Jenkins, Artifactory, DevSecOps) , Source control, branching strategies, merge requests, CI/CD pipeline configuration and automated deployments, Environment-based deployments and rollback strategies
  • Experience with AWS, Azure, or GCP services .
  • Knowledge of monitoring tools such as Prometheus, Grafana, or ELK stack .
  • Understanding of distributed tracing nd logging .
  • Cloud concepts like fundamentals, App Configuration / App Settings, Key Vault, Cache, Service Bus (queues/topics), Event driven architecture, Blob Storage, cloud security, scalability, and resiliency patterns
  • Microservice Development
    • Microservice design and implementation
    • Middleware, filters, exception handling, and logging
    • uthentication and authorization (JWT/OAuth concepts)
    • Performance optimization and secure coding practices
  • gile and Collaboration Tools: Sprint planning, work item tracking, and agile delivery, Technical documentation and knowledge sharing

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