Back-End Engineer
Infinite Computer Solutions (ICS)
Atlanta, GA, United States
2 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+10 more
Data Logging
Google Cloud
Backend
Containerization
Kubernetes
Low Latency
Apache Kafka
Amazon Simple Queue Service (SQS)
Golang
Microservices
Job 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.
Requirements
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.
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