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# Back-End Engineer

- **Company:** Infinite Computer Solutions (ICS)
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Distributed Systems, Monitoring of Systems, Python (Programming Language), Enterprise Messaging Systems, Performance Tuning, Reliability Engineering, Software Engineering, Data Logging, Google Cloud, Backend, Containerization, Kubernetes, Low Latency, Apache Kafka, Amazon Simple Queue Service (SQS), Golang, Microservices
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/85baed3e-0e65-4b0c-8e6e-55fdac8cd397

## About the Role

We are looking for an experienced Backend Engineer to build and scale distributed systems and microservices platforms. The ideal candidate will have demonstrated success scaling production applications, building resilient architectures, and implementing enterprise-grade monitoring and observability., * 8+ years of backend software engineering experience.

 * Strong expertise in distributed systems design.
 * Experience building microservices-based platforms.
 * Hands-on experience with Kafka, Amazon SQS, or similar messaging technologies.
 * Proven track record of scaling systems by 3x or more.
 * Experience implementing monitoring and logging frameworks.
 * Strong proficiency in Java, Python, Go, or similar backend technologies.
 * Experience with cloud-native architectures and containerized deployments.
 * Qualifications
 * Experience with Kubernetes and cloud platforms (AWS, Azure, or Google Cloud Platform).
 * Knowledge of site reliability engineering (SRE) practices.
 * Experience with high-throughput and low-latency applications.

## Description

* Design and develop scalable distributed backend systems.
 * Build and maintain microservices architectures.
 * Develop event-driven solutions using Kafka, SQS, or similar messaging platforms.
 * Optimize system performance, reliability, and scalability.
 * Implement monitoring, logging, alerting, and observability solutions.
 * Drive architectural decisions and engineering best practices.
 * Support highly available production systems.