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Lead Java Developer

  • ... Posted on: Nov 26, 2024
  • ... Centstone
  • ... Raleigh, North Carolina
  • ... Salary: Not Available
  • ... Full-time

Lead Java Developer   

Job Title :

Lead Java Developer

Job Type :

Full-time

Job Location :

Raleigh North Carolina United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Lead Java Developer

Location: Raleigh, NC (Partial Remote)

Position Type: W2

Job Summary:

We are seeking a highly skilled Lead Java Developer to join our team in Raleigh, NC. This W2 contract position involves working on cutting-edge technology projects with a focus on distributed grid computing, Java Spring Boot, and modern front-end technologies like ReactJS. The ideal candidate will have strong expertise in backend development, multithreading, and a solid understanding of distributed systems, with additional exposure to Kafka and machine learning model support being highly desirable.

This is a high-priority and proactive requisition for a motivated professional with a proven track record in Java development, ready to take on leadership responsibilities in a dynamic environment.

Key Responsibilities

  • Design, develop, and deploy scalable applications using Java Spring Boot.
  • Implement and manage distributed grid computing systems.
  • Utilize Java multithreading for high-performance application development.
  • Develop and maintain front-end applications using ReactJS and NodeJS.
  • Integrate and optimize messaging systems using Kafka or equivalent technology.
  • Collaborate with cross-functional teams to support machine learning models and advanced analytics.
  • Ensure code quality and consistency using best practices in Git, DevOps, and Azure environments.

Required Skills

  • Java Spring Boot
  • Java Multithreading
  • NodeJS
  • ReactJS
  • Distributed Grid Computing
  • Kafka or equivalent messaging technology

Preferred Skills

  • Python and experience with Jupyter Lab
  • Knowledge of Git, Azure, and DevOps practices
  • Prior experience in the finance industry
  • Familiarity with supporting machine learning models

Jobcon Logo Position Details

Posted:

Nov 26, 2024

Employment:

Full-time

Salary:

Not Available

Snaprecruit ID:

SD-CIE-4de74fb8cdbd7c5e3b5eac6b0216f61858f44fefa5e03fc4591331db1318e43d

City:

Raleigh

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Lead Java Developer

Location: Raleigh, NC (Partial Remote)

Position Type: W2

Job Summary:

We are seeking a highly skilled Lead Java Developer to join our team in Raleigh, NC. This W2 contract position involves working on cutting-edge technology projects with a focus on distributed grid computing, Java Spring Boot, and modern front-end technologies like ReactJS. The ideal candidate will have strong expertise in backend development, multithreading, and a solid understanding of distributed systems, with additional exposure to Kafka and machine learning model support being highly desirable.

This is a high-priority and proactive requisition for a motivated professional with a proven track record in Java development, ready to take on leadership responsibilities in a dynamic environment.

Key Responsibilities

  • Design, develop, and deploy scalable applications using Java Spring Boot.
  • Implement and manage distributed grid computing systems.
  • Utilize Java multithreading for high-performance application development.
  • Develop and maintain front-end applications using ReactJS and NodeJS.
  • Integrate and optimize messaging systems using Kafka or equivalent technology.
  • Collaborate with cross-functional teams to support machine learning models and advanced analytics.
  • Ensure code quality and consistency using best practices in Git, DevOps, and Azure environments.

Required Skills

  • Java Spring Boot
  • Java Multithreading
  • NodeJS
  • ReactJS
  • Distributed Grid Computing
  • Kafka or equivalent messaging technology

Preferred Skills

  • Python and experience with Jupyter Lab
  • Knowledge of Git, Azure, and DevOps practices
  • Prior experience in the finance industry
  • Familiarity with supporting machine learning models

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