Senior Java Backend Engineer - Microservices & Cloud

MACHINE LEARNING TECHNOLOGIES LLC; Phoenix (AZ); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Senior Java Backend Developer in Phoenix, AZ, for a 12-month engagement plus extension. The role focuses on designing, developing, and maintaining scalable enterprise applications and microservices using Java, Spring Boot, and modern cloud technologies.

The ideal candidate has 10–15 years of experience, proven leadership, and strong skills in RESTful APIs, CI/CD, Docker/Kubernetes, and distributed systems.

Qualifications

• 10–15 years of software development experience.
• Strong hands-on experience with Java and Spring Boot.
• Proven expertise in microservices and cloud-native architectures.
• Experience designing scalable, high-performance enterprise applications.
• Experience leading technical discussions and mentoring teams.
• Knowledge of RESTful APIs, CI/CD, and containerization.

Responsabilités

• Design, develop, test, and deploy enterprise-grade microservices using Java and Spring Boot.
• Lead technical design discussions and define scalable architectures.
• Develop and maintain RESTful APIs and distributed applications.
• Conduct code reviews and mentor developers.
• Optimize performance of applications and databases.
• Support CI/CD pipelines and cloud deployments.

Connaissances

Java

Spring Boot

Microservices

Cloud technologies

Distributed systems

REST APIs

Docker/Kubernetes

CI/CD

Databases

Kafka

Testing (JUnit/Mockito)

Security (OAuth/OpenID)

Leadership

Outils

Jenkins

GitLab CI

GitHub Actions

Docker

Kubernetes

PostgreSQL

Oracle

MySQL

MongoDB

Apache Kafka

Description du poste

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Senior Java Backend Developer in Phoenix, AZ, for a 12-month engagement plus extension. The role focuses on designing, developing, and maintaining scalable enterprise applications and microservices using Java, Spring Boot, and modern cloud technologies.

The ideal candidate has 10–15 years of experience, proven leadership, and strong skills in RESTful APIs, CI/CD, Docker/Kubernetes, and distributed systems.