Java Developer – Microservices & Production Support

MACHINE LEARNING TECHNOLOGIES LLC

Dallas (TX)

On-site

USD 90,000 - 120,000

Full time

15 hours ago
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Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX is seeking an experienced Java Developer to support and enhance enterprise applications. You will work with Java/J2EE, Spring Boot, and microservices, troubleshooting production issues and optimizing performance across distributed systems.

Responsibilities include supporting RESTful APIs, root cause analysis, and coordinating major incidents in a fast-paced environment. Strong SQL and Linux skills are essential.

Qualifications

  • Hands-on Java/J2EE with Spring Boot and microservices experience.
  • Troubleshoot production issues and optimize performance in distributed systems.
  • Strong SQL skills and experience with relational databases.
  • Experience with Linux/Unix, shell scripting, and application servers.
  • Familiarity with CI/CD tools and modern observability platforms.

Responsibilities

  • Develop and maintain enterprise Java applications and microservices.
  • Support RESTful APIs, troubleshoot production incidents, and perform RCA.
  • Tune JVM performance, manage database interactions, and monitor systems.
  • Collaborate with cross-functional teams and document technical solutions.
  • Participate in incident management and change control processes.

Skills

Java
J2EE
Spring Boot
Microservices
RESTful APIs
JVM tuning
SQL databases
Linux/Unix
Tomcat/JBoss/WebSphere
CI/CD pipelines
Logging/Monitoring

Tools

Oracle
SQL Server
PostgreSQL
MySQL
Shell scripting
Kafka
Docker
Kubernetes
OpenShift
Splunk

Job description

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX is seeking an experienced Java Developer to support and enhance enterprise applications. You will work with Java/J2EE, Spring Boot, and microservices, troubleshooting production issues and optimizing performance across distributed systems.

Responsibilities include supporting RESTful APIs, root cause analysis, and coordinating major incidents in a fast-paced environment. Strong SQL and Linux skills are essential.

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