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# Lead API Node.js Developer | QSR (Quick Service Restaurant) Digital Commerce & Loyalty | W2 Role | 10 years exp

- **Company:** TMS LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, DevOps, Fault Tolerance, Node.Js, NoSQL, RabbitMQ, Software Engineering, SQL Databases, Web Services, Azure Service Bus, Express.js, Backend, Event Driven Architecture, Kubernetes, Apache Kafka, Api Design, NestJS, Restful APIs, Amazon Simple Queue Service (SQS), Terraform, Docker, Microservices
- **Published:** June 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=15df0cec109a1f27

## About the Role

Do you have experience in Web services design?, Experience: 8+ years in software engineering, with 3+ years leading API/backend teams.
Core Tech: Strong hands-on expertise in Node.js, NestJS, and Express.js.
Architecture: Proven track record with Microservices and Event-Driven Architecture.
Cloud & Data: Solid experience with at least one major cloud provider (AWS/Azure/GCP) and both SQL and NoSQL databases.
API Mastery: Deep understanding of REST API design, security, and lifecycle management.

Bonus Points For:
Experience in QSR, Retail, Hospitality, or E-commerce.
Hands-on experience with Kafka, RabbitMQ, SQS, or Azure Service Bus.
Familiarity with Docker, Kubernetes, and Terraform.

## Description

We are looking for an experienced API Lead to design, develop, and lead the delivery of scalable, cloud-native APIs and backend services. If you thrive on building high-performance, event-driven systems and microservices for massive customer-facing platforms, let's talk!

What You'll Do:
Lead & Mentor: Drive enterprise-grade API design (NestJS/Express), enforce API standards, and mentor a talented engineering team.
Architect Microservices: Build resilient, high-volume microservices and event-driven architectures with fault-tolerance patterns (circuit breakers, retries).
Cloud-Native Engineering: Deploy scalable solutions across AWS, Azure, or GCP, partnering with DevOps on CI/CD and IaC.
Data Optimization: Work with SQL/NoSQL databases to optimize high-throughput transactional and event-driven workloads.


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