Java Cloud Microservices Engineer

R2 Technologies Corporation (R2) is an IT services provider headquartered in Alpharetta, GA, with a proven track record in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP) . By offering a blend of highly skilled resources and productivity platforms , R2 helps clients rapidly deliver business value to their stakeholders.

R2’s core strength lies in platform-based solutions and designing enterprise architectures using modern cloud technologies (AWS, GCP, Azure) to deliver scalable and cost-effective systems. Our AI and ML expertise empowers organizations to harness data-driven insights, enhance operational performance, and gain competitive advantage.

Since its inception, R2 has grown to become one of the most respected and trusted technology companies in the United States , offering product development and staffing services to a diverse range of clients—from small and midsize enterprises to Fortune 1000 companies.

Location: Alpharetta, GA (willing to travel to client locations) Employment Type: Full-Time (W2)

Role Overview

We are seeking a Java Cloud Microservices Engineer who specializes in developing, deploying, and optimizing cloud-native microservices using Spring Boot, Kubernetes, and event-driven architectures . The ideal candidate will have 3 years of experience in building scalable, high-performance distributed systems and will work closely with AI/ML teams to integrate intelligent services into cloud applications.

Key Responsibilities

Design, develop, and maintain Java-based cloud microservices on AWS, GCP, or Azure .

Implement RESTful APIs , GraphQL , and event-driven architectures using Kafka or RabbitMQ .

Utilize Docker and Kubernetes for container orchestration and cloud deployment .

Collaborate with data science teams to integrate AI/ML-driven services into microservices.

Enhance performance, security, and scalability of microservices-based applications.

Implement CI/CD automation using Jenkins, GitHub Actions, or Azure DevOps .

Optimize API performance through caching strategies, load balancing, and API gateways .

Ensure secure service-to-service communication using OAuth2, JWT, and service mesh solutions.

Required Qualifications

3 years of professional Java development experience, including Spring Boot .

Hands-on experience in building microservices and deploying them on AWS, GCP, or Azure .

Strong experience in REST API development, event-driven messaging, and containerization .

Familiarity with DevOps tools for CI/CD pipelines and cloud automation .

Understanding of AI/ML integration in backend systems .

Preferred Qualifications

• Experience in MLOps and AI model integration within microservices.

• Proficiency in GraphQL, gRPC, and event-driven architectures .

• Knowledge of security best practices for microservices , including API security and authentication.

• Exposure to serverless architectures and cloud-native functions (AWS Lambda, Azure Functions, Google Cloud Run) .

Compensation & Benefits

Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).

Keywords & Tags

Java (Spring Boot, Java 11/17, JPA, Hibernate)

Microservices (REST, gRPC, event-driven architecture, Kafka, RabbitMQ)

Cloud (AWS, GCP, Azure, Lambda, serverless computing)

DevOps (CI/CD, Docker, Kubernetes, Terraform, GitHub Actions, Jenkins)

AI/ML Integration (model inference, AI-driven microservices, TensorFlow, PyTorch)

Security & Performance (OAuth2, JWT, API gateway, load balancing, caching)