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Software Engineer IV Java AWS

Kanshe InfotechCharlotte, NC🇺🇸United StatesPosted Sep 16, 2026

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Charlotte, NC, United States
Posted
18 hours ago
MicroservicesSpringSpring BootAWSCDKGitLab CIJavaKafkaPostgreSQLTerraform

Job Description

Software Engineer IV – Java / AWS

Location: Coppel, TX, Charlotte, NC or St Louis, MO (Onsite 4 days/week)

Duration: Long term project


Interview: 1 Onsite Interview + Java Coding Assessment - (In person Interview)

 

Job Summary:

We are looking for a Software Engineer IV with strong Java, Spring Boot, AWS, and distributed transactional systems experience. This is an 80% development / 20% unit testing role focused on building highly scalable, low-latency microservices.

The ideal candidate has experience building transaction-heavy applications, concurrency/locking mechanisms, caching, ACID transactions, and distributed systems at scale.

 

Key Responsibilities:

  • Design and develop event-driven transactional microservices using Java 17/Spring Boot.
  • Build scalable AWS applications using ECS, Aurora PostgreSQL, SQS FIFO, EventBridge, and MSK/Kafka.
  • Develop high-throughput APIs supporting 300+ TPS, with a focus on low-latency processing.
  • Implement concurrency controls, locking, optimistic versioning, caching, and ACID transactions.
  • Build and maintain CI/CD pipelines using GitLab and infrastructure using Terraform/AWS CDK.
  • Migrate legacy TIBCO applications to Java/AWS-based microservices.

Required Skills

  • 7+ years of Java/Spring Boot development experience.
  • Strong hands-on AWS experience.
  • Proven experience building transactional/distributed systems at scale.
  • Strong knowledge of concurrency, database locking, caching, ACID, and performance optimization.
  • Experience with Kafka/MSK and event-driven architectures.
  • Experience with GitLab CI/CD, Terraform, or AWS CDK.
  • Strong unit-testing and API development experience.

Preferred Ex: AWS, Amazon, Apple, Meta, etc.

 

Preferred: Drools, state-machine patterns, Resilience4j, parallel-run validation, and legacy-to-cloud migration experience.

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