Sr Java Kafka Architecture:Charlotte, NC (ONSITE)

Tech Mirrors; Charlotte (NC); On-site; USD 79,556 - 113,307; Full time

Job summary

Tech Mirrors in Charlotte, NC is seeking a Sr Java Kafka Architect to design and build enterprise-grade, event-driven systems. You will lead the creation of scalable microservices using Java 11/17+, Spring Boot, and Kafka-based streaming with Flink, while delivering responsive front-end work with Angular or React.

The role requires hands-on AWS development and experience with CI/CD pipelines, plus expertise in Kafka topics, schemas, and performance tuning.

Qualifications

• 713 years of software engineering experience.
• Hands-on working exp with Confluent Kafka and Apache Flink applications
• Hands-on AWS development experience

Responsibilities

• Design and develop enterprise-grade full-stack applications.
• Build and maintain microservices using Java 17+, Spring Boot.
• Design scalable RESTful APIs and event-driven systems.
• Implement resilient architectures leveraging Kafka and Flink for real-time data processing.
• Develop front-end applications using Angular/React.
• Design Kafka topics, partitions, consumer groups, schemas, and message contracts.
• Develop and optimize Apache Flink streaming jobs for real-time analytics and stateful processing.
• Design and deploy solutions on AWS and build CI/CD pipelines.

Skills

Java development

Spring Boot

Microservices

AWS

Unit testing

Tools

Confluent Kafka

Apache Flink

Kafka Connect

Schema Registry

Angular

React

Job description

Sr Java Kafka Architecture

Location

Charlotte, NC (ONSITE)

Rate: $70/hr

Job Description

Key Responsibilities

Application Development & Architecture

Design and develop enterprise-grade full-stack applications.

Build and maintain microservices using Java 17+, Spring Boot

Design highly scalable RESTful APIs and event-driven systems.

Implement resilient architectures leveraging Kafka and Flink for real-time data processing.

Develop responsive front-end applications using Angular/React.

Streaming & Real-Time Data Processing

Design Kafka topics, partitions, consumer groups, schemas, and message contracts.

• Kafka Connect
• Schema Registry
• Stream Processing
• Monitoring and Governance

Develop and optimize Apache Flink streaming jobs for:

• Real-time analytics
• Data transformation
• Event enrichment
• Stateful stream processing

Cloud & DevOps

Design and deploy solutions on AWS.

Work with:

• Lambda
• S3
• RDS
• DynamoDB
• API Gateway
• CloudWatch
• IAM

Build CI/CD pipelines using Jenkins, GitHub Actions, or AWS Code Pipeline.

Python Development

Develop Python utilities and automation frameworks.

Build data-processing workflows and batch jobs.

Create operational scripts and monitoring tools.

Performance Engineering

Develop and execute JMeter performance tests.

Identify application bottlenecks.

Tune Kafka consumers/producers.

Required Qualifications

Experience

713 years of software engineering experience.

Hands-on working exp with Confluent Kafka and Apache Flink applications

Hands-on AWS development experience

Technical Skills

Backend

Java 11/17+

Spring Boot

Microservices Architecture

Messaging

Confluent Kafka

Kafka Connect

Schema Registry

Event Streaming

Stream Processing

Apache Flink

Stateful Processing

Windowing

Checkpointing

Front End

Angular or React

TypeScript

HTML5

CSS3

Cloud

AWS Services

Testing

JUnit

Mockito

JMeter