Java Developer/Full Stack Developer

MACHINE LEARNING TECHNOLOGIES LLC; Charlotte (NC); Hybrid; USD 50,000 - 90,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Java Developer/Full Stack Developer for a hybrid role based in Charlotte, NC. This position involves leading the design and development of microservices applications and hands-on coding with Java/J2EE.

The ideal candidate will have strong expertise in Java technologies, experience with Kafka/MQ, and solid understanding of microservices architecture. This role is set for a duration of 15 months with possible extensions.

Qualifications

• Strong expertise in Java/J2EE and related technologies.
• Solid understanding of microservices and REST APIs.
• Experience with Docker/Kubernetes is a plus.

Responsibilities

• Lead design and development of Java/J2EE-based applications.
• Guide and mentor developers, conduct code reviews.
• Design and implement event-driven architectures using Kafka/MQ.

Skills

Java/J2EE

Spring

Spring Boot

Microservices architecture

REST APIs

Kafka/MQ

MongoDB

Docker

Kubernetes

Communication skills

Job description

Job Overview

Job ID: J53154

Position: Java Developer/Full Stack Developer

Location: Charlotte, NC (Hybrid – 3 days onsite)

Duration: 15 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

Interview

First round is Virtual (Video) and Final round is Face‑to‑face (In Person) Interview.

Key Responsibilities

• Lead design and development of Java/J2EE-based microservices applications
• Actively contribute to hands‑on coding, debugging, and performance tuning
• Design and implement event‑driven architectures using Kafka/MQ
• Guide and mentor developers, conduct code reviews, and enforce best practices
• Work closely with architects, product owners, and stakeholders to translate requirements into technical designs
• Ensure system scalability, reliability, and security
• Drive adoption of clean code, design patterns, and microservices best practices
• Support deployment, monitoring, and production issues

Required Skills

• Strong expertise in Java/J2EE, Spring, Spring Boot
• Solid understanding of Microservices architecture, REST APIs, and distributed systems
• Hands‑on experience with Kafka/MQ (producers, consumers, streams, error handling)
• Strong experience in MongoDB (data modeling, indexing, performance optimization)
• Good knowledge of design patterns, system design, and architectural principles
• Experience with Docker/Kubernetes is a plus
• Strong communication skills and ability to explain technical designs clearly

Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.