Only Local || Phoenix, AZ and Raleigh, NC ( Only Local) || Java fullstack with (Distributed/Grid Computing Specialist)

Role- Java fullstack with (Distributed/Grid Computing Specialist)
Location: Phoenix, AZ and Raleigh, NC ( Only Local)

Client: TCS

Please share Only Matching H1B Profiles ( $52 Max )
Job Description:
We are seeking a highly skilled Full-Stack Developer with a strong background in handling large volumes of data through distributed or grid computing frameworks. The ideal candidate will possess deep expertise in both back-end and front-end technologies. This role will involve designing, developing, and maintaining robust applications that manage data-intensive processes, leveraging distributed computing and modern development practices.

Key Responsibilities:

Develop, deploy, and maintain full-stack solutions using Java Spring Boot, NodeJS, and ReactJS.

Implement and manage large-scale data processing workflows using distributed/grid computing technologies.

Utilize Kafka (or equivalent message streaming platforms) to enable high-throughput, fault-tolerant, real-time data streams.

Build efficient and scalable back-end services, with a focus on Java multi-threading to optimize performance.

Collaborate with data scientists to support statistical models and analyze Risk.

Design and implement user interfaces with ReactJS to deliver a seamless user experience.

Contribute to system architecture design and continuous improvements to ensure scalability and robustness.

Required Skills:

Proficiency in Java Spring Boot and Java multi-threading.

Expertise in NodeJS and ReactJS for full-stack development.

Strong experience with distributed/grid computing systems.

Working knowledge of Kafka or similar event streaming platforms.

Understanding of data pipelines and handling large datasets efficiently.

Preferred Skills:

Familiarity with Python and JupyterLab for data science support.

Experience with version control systems like Git or AzureDevOps.

Understanding of data science workflows and techniques in supporting machine learning models.


Mohd Adil | Talent Acquisition


Teamware Solutions Inc.

2838 E. LONG LAKE ROAD SUITE 210, TROY, MI 48085

M: 469-552-7783 | Mail: [email protected]

Connect me on – Linkedin


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