Cloud Java Backend Engineer

Sci Solutions Global

  • Jersey City, New Jersey
  • 4 days ago

    Highlights

    The platform currently uses Apache Cassandra and gRPC APIs and is expanding to support additional data technologies, including OLAP databases, vector databases, and graph databases. The ideal candidate will have strong Java and Spring Boot skills, experience with gRPC-based services, practical AWS knowledge, and a performance-focused approach to building scalable, low-latency backend systems.

    Numbers & Facts

    LocationJersey City, New Jersey
    Websitehttps://scisolutionsglobal.com/

    Description

     

    Cloud Java Backend Engineer – Distributed Data Platforms

    Location: Jersey City, New Jersey

     Locals Preferred – In person interview

    Open for W2 only- No c2c/1099 or third party resumes

    Due to the nature of the role client is only accepting USC/GC /GC EAD only no other visas accepted.

     

    Job Overview

    We are seeking a hands-on Java Backend Engineer to build and enhance a cloud-hosted distributed data platform. The platform currently uses Apache Cassandra and gRPC APIs and is expanding to support additional data technologies, including OLAP databases, vector databases, and graph databases.

    The ideal candidate will have strong Java and Spring Boot skills, experience with gRPC-based services, practical AWS knowledge, and a performance-focused approach to building scalable, low-latency backend systems. Experience optimizing P90/P99 latency is particularly valuable.

    Required Qualifications

    • 10+ years of Strong Java and Spring Boot development experience.
    • Hands-on experience with gRPC services and API integrations.
    • Practical Apache Cassandra experience, including data modeling and query performance.
    • Experience with AWS ECS, Lambda, and Step Functions.
    • Strong understanding of distributed systems and scalable backend application design.
    • Experience with performance engineering, latency optimization, and production troubleshooting.
    • Strong data structures, algorithms, and coding skills.
    • Ability to explain technical decisions and system design clearly.

    Preferred Qualifications

    • Experience with OLAP databases.
    • Exposure to vector databases and AI-enabled data platforms.
    • Experience with TigerGraph or other graph databases.
    • Experience supporting high-throughput, low-latency applications in production environments.


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