Backend Developer- Dallas, TX

Photon•Dallas, TX

8d•$35,000 - $123,000•Onsite

About The Position

We are seeking a highly skilled Backend Engineer to design, develop, and scale mission-critical backend services. In this role, you will be responsible for building robust microservices and real-time event-processing systems that handle complex business logic and high-volume data streams. The ideal candidate thrives in a cloud-native environment and has a deep understanding of distributed systems and event-driven patterns.

Requirements

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

Nice To Haves

Experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, or DynamoDB).
Understanding of distributed tracing and monitoring tools (e.g., Prometheus, Grafana, or AWS CloudWatch).
Knowledge of reactive programming or functional programming patterns in Java.
Background in designing systems for financial services or high-frequency data environments.

Responsibilities

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