Java Backend Engineer

Note: F2F interview required and will be done in any of these locations:
Dallas TX or Chicago, IL or New York or Durham NC.

We are seeking a highly skilled Backend Engineer with 10+ years experience to design, develop, and scale mission-critical backend services.

• Microservices Development: Design and implement scalable, high-performance microservices using Java and the Spring Boot ecosystem.
• Event-Driven Architecture: Architect and maintain event-driven systems utilizing Apache Kafka for seamless asynchronous communication and real-time event processing.
• API Design: Develop and document secure, versioned RESTful APIs to support internal services and external integrations.
• Business Logic Implementation: Translate complex functional requirements into efficient business rules and logic within the application layer.
• Cloud Infrastructure: Deploy and manage containerized applications on AWS EKS (Elastic Kubernetes Service), ensuring optimal resource utilization and high availability.
• System Integration: Integrate backend components with various AWS services to enhance scalability, storage, and monitoring capabilities.
• Quality & Performance: Write clean, maintainable, and well-tested code while performing regular performance tuning and troubleshooting of distributed systems.

• Core
  
  Languages:
  
  Proficiency in Java (JDK 11+).
• Frameworks: Extensive experience with Spring Boot (Spring Cloud, Spring Security, Spring Data).
• Messaging & Streaming: Hands-on experience with Apache Kafka
  , including producers, consumers, and Kafka Streams.
• Cloud & Orchestration: Proven experience with AWS services, specifically AWS EKS
  , EC2, S3, and IAM.
• Architecture: Strong understanding of Microservices architecture and Event-Driven Architecture (EDA).
• Web Services: Expert knowledge of REST API design principles and JSON/XML.
• Database & Logic: Experience managing event processing workflows and implementing complex business rules engines.
• Dev Ops Tools: Familiarity with Docker, Kubernetes, and CI/CD pipelines.

• Experience with SQL and No
  
  SQL databases (e.g., PostgreSQL, MongoDB, or DynamoDB).
• Understanding of distributed tracing and monitoring tools (e.g., Prometheus, Grafana, or AWS Cloud Watch).
• Knowledge of reactive programming or functional programming patterns in Java.
• Background in designing systems for financial services or high-frequency data environments.