Senior Java Full-Stack Engineer (Spring, Angular, Kafka)

MassGenics, Inc.; Charlotte (NC); Hybrid; USD 90,000 - 96,000; Full time

Benefits offered by this job

Medical coverage

Dental/vision insurance

401(k)

HSA

FSA

Life Insurance

Paid leave

Job summary

Innova Solutions is seeking a Sr. Java Full Stack Developer for a Charlotte, NC contract role. The candidate will join as a W-2, full-time equivalent position with a 12+ month duration and a hybrid on-site schedule (3 days in office).

Responsibilities include building scalable Java applications, RESTful APIs, and Angular front-ends, while implementing Kafka-based data streams and modernizing legacy code. Collaboration with multiple teams and a strong emphasis on code quality are required.

Qualifications

• Design, develop, and maintain scalable, high-performance Java applications.
• Build RESTful APIs and microservices using Spring Boot.
• Develop responsive front-end applications using Angular.
• Implement event-driven architectures using Kafka for real-time data processing.
• Analyze, troubleshoot, and modernize legacy Java codebases.
• Collaborate with Product Owners, Architects, QA, and DevOps teams.
• Ensure code quality through unit testing, code reviews, and best practices.

Responsibilities

• Design, develop, and maintain scalable enterprise apps using Java technologies.
• Build RESTful APIs and microservices with Spring Boot.
• Develop responsive front-end applications using Angular.
• Implement Kafka-based event-driven data processing.
• Collaborate with cross-functional teams to achieve project goals.

Skills

Java

Spring Boot

Angular

REST APIs

Kafka

SQL

OOP

Legacy code

Tools

Git

JUnit

Job description

Innova Solutions is seeking a Sr. Java Full Stack Developer for a Charlotte, NC contract role. The candidate will join as a W-2, full-time equivalent position with a 12+ month duration and a hybrid on-site schedule (3 days in office).

Responsibilities include building scalable Java applications, RESTful APIs, and Angular front-ends, while implementing Kafka-based data streams and modernizing legacy code. Collaboration with multiple teams and a strong emphasis on code quality are required.