Sr Java Kafka Engineer

Request ID: 99834-1
Title: Sr Java Kafka Engineer
Locations: Charlotte, NC
Duration: 06+ Months with Possible Extension.
Pay Range: $60-$65/Hour on W2/C2C (All inclusive)

We are seeking a highly skilled Senior Java Kafka Engineer with 10+ years of experience in designing and developing enterprise-grade distributed applications. The ideal candidate will have deep expertise in Java 17+, Spring Boot, Apache Kafka, Confluent Kafka, Apache Flink, AWS, and modern microservices architecture. Experience with real-time event streaming, cloud-native application development, and performance engineering is essential.

This role involves building scalable event-driven applications, developing real-time data processing pipelines, and deploying cloud-native solutions on AWS while collaborating with cross-functional Agile teams.

Required Experience

• 10+ years of experience in Java application development.
• Strong hands-on experience with Confluent Kafka and Apache Flink.
• Experience developing cloud-native applications on AWS.
• Experience designing and implementing enterprise microservices architecture.

Must-Have Skills

Backend

• Java 11/17+
• Spring Boot
• Spring Framework
• Microservices
• REST APIs

Messaging & Streaming

• Apache Kafka
• Confluent Kafka
• Kafka Connect
• Schema Registry
• Event Streaming
• Apache Flink
• Stateful Stream Processing
• Windowing
• Checkpointing

Cloud

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

Frontend

• Angular or React
• TypeScript
• HTML5
• CSS3

Programming

• Python
• SQL

Testing & Performance

• JUnit
• Mockito
• JMeter

DevOps

• Jenkins
• GitHub Actions
• AWS CodePipeline
• Git

Key Responsibilities

Application Development

• Design, develop, and maintain enterprise-grade Java applications.
• Build scalable microservices using Java 17+, Spring Boot, and REST APIs.
• Develop event-driven architectures using Kafka and Apache Flink.
• Design highly scalable and resilient distributed systems.

Kafka & Streaming

• Design Kafka topics, partitions, consumer groups, and messaging architecture.
• Implement Confluent Kafka components including Kafka Connect and Schema Registry.
• Develop Apache Flink streaming applications for real-time analytics, event enrichment, and data transformation.
• Optimize Kafka producers and consumers for high throughput and low latency.

Cloud Development

• Design and deploy cloud-native applications on AWS.
• Utilize AWS services including Lambda, S3, RDS, DynamoDB, API Gateway, CloudWatch, and IAM.
• Develop secure, scalable, and highly available cloud solutions.

Python Development

• Develop automation utilities and operational scripts using Python.
• Build data-processing workflows and batch-processing solutions.
• Create monitoring and support tools.

Performance Engineering

• Develop and execute performance tests using JMeter.
• Analyze application bottlenecks and optimize application performance.
• Improve scalability and reliability of distributed systems.

CI/CD & DevOps

• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or AWS CodePipeline.
• Collaborate with DevOps teams to automate deployments and improve release processes.

Preferred Skills

• Docker
• Kubernetes
• Terraform
• ELK Stack
• Prometheus
• Grafana
• SonarQube
• Agile/Scrum methodologies

Company Benefits & Culture

• Inclusive and diverse work environment
• Opportunities for professional growth and development
• Comprehensive health and wellness benefits

Appreciate your quick response and please feel free to reach me out for any query you may have.

Thanks