Cloud Java Backend Engineer — Low-Latency, Scalable Data Platform

SCI SOLUTIONS GLOBAL

Jersey City (NJ)

On-site

USD 150,000 - 190,000

Full time

3 days ago
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Job summary

SCI Solutions Global in Jersey City, NJ, is seeking a hands-on Java Backend Engineer to build and enhance a cloud-hosted distributed data platform. The role focuses on low-latency services using Java, Spring Boot, gRPC, and Cassandra, with practical AWS experience. Strong problem-solving and ability to articulate design decisions are essential.

The ideal candidate will optimize latency, work with ECS/Lambda, and contribute to scalable backend architecture in a fast-paced environment.

Qualifications

  • 10+ years of Java/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.

Responsibilities

  • Build and enhance a cloud-hosted distributed data platform using Java/Spring Boot.
  • Optimize P90/P99 latency and ensure low-latency backend services.
  • Develop and maintain gRPC-based services and API integrations.
  • Collaborate with data engineering and platform teams to scale infrastructure.

Skills

Java
Spring Boot
gRPC
AWS
Distributed systems
Latency optimization
Performance engineering

Tools

Apache Cassandra
AWS ECS
AWS Lambda

Job description

SCI Solutions Global in Jersey City, NJ, is seeking a hands-on Java Backend Engineer to build and enhance a cloud-hosted distributed data platform. The role focuses on low-latency services using Java, Spring Boot, gRPC, and Cassandra, with practical AWS experience. Strong problem-solving and ability to articulate design decisions are essential.

The ideal candidate will optimize latency, work with ECS/Lambda, and contribute to scalable backend architecture in a fast-paced environment.

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