Java Developer

Megan Soft Inc; Livonia (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

Megan Soft Inc. is seeking an accomplished Java developer with 8-10+ years of professional experience, based in Livonia, MI. You will design, build, and maintain scalable microservices using Java 8/11/17+, Spring Boot, and REST APIs, while integrating AI/ML capabilities.

Strong SQL skills and cloud experience (AWS/Azure/GCP) are required, along with solid troubleshooting and collaboration across teams. The ideal candidate will own complex features, mentor juniors, and contribute to architecture

Qualifications

• 8-10+ years of professional experience in Java development.
• Strong experience with Java 8/11/17+.
• Hands-on experience with Spring Boot, Spring Framework, and REST APIs.
• Strong knowledge of microservices architecture.
• Experience with SQL and relational databases such as Oracle, PostgreSQL, or MySQL.
• Experience with Git, Maven/Gradle, JUnit, and CI/CD.
• Experience with AWS, Azure, or GCP.
• Hands-on experience with AI/ML or Generative AI technologies.
• Understanding of LLMs, NLP, RAG, prompt engineering, embeddings, and vector databases.
• Experience integrating AI/ML models through APIs or SDKs.
• Strong troubleshooting, analytical, and communication skills.

Skills

Java

Java 8/11/17+

Spring Boot

Spring Framework

REST APIs

Microservices

SQL

Oracle

PostgreSQL

MySQL

Git

Maven/Gradle

JUnit

CI/CD

Cloud (AWS/Azure/GCP)

AI/ML

LLMs/NLP/RAG

APIs/SDK integration

Troubleshooting/Communication

Job description

• 8-10+ years of professional experience in Java development.

• Strong experience with Java 8/11/17+.

• Hands-on experience with Spring Boot, Spring Framework, and REST APIs.

• Strong knowledge of microservices architecture.

• Experience with SQL and relational databases such as Oracle, PostgreSQL, or MySQL.

• Experience with Git, Maven/Gradle, JUnit, and CI/CD.

• Experience with AWS, Azure, or GCP.

• Hands-on experience with AI/ML or Generative AI technologies.

• Understanding of LLMs, NLP, RAG, prompt engineering, embeddings, and vector databases.

• Experience integrating AI/ML models through APIs or SDKs.

• Strong troubleshooting, analytical, and communication skills.