Senior Distributed Systems Engineer - Java Microservices

Barclays; Whippany (NJ); Hybrid; USD 166,000 - 175,000; Full time

Benefits offered by this job

Medical, dental & vision coverage

401(k) plan

Life insurance

Paid leave & incentive awards

Job summary

Barclays Services LLC seeks a Senior Distributed Systems Engineer in Whippany, NJ to design and implement RESTful microservices for ultra-low latency decisioning, using Java/JDK 17+ and Spring Boot. The role involves building scalable, observable systems on AWS, with secure coding practices and automated deployments.

Responsibilities include developing rule-based engines, processing large datasets for fraud models, and collaborating across teams to deliver resilient, enterprise-grade software.

Qualifications

• Experience designing RESTful microservices in a high-performing environment.
• Proficient in Java/JDK 17+ and Spring Boot.
• Strong understanding of horizontal scaling, observability, and SLOs.

Responsibilities

• Design and implement RESTful microservices for low-latency decisioning.
• Develop rule-based decisioning engines for automated processes.
• Work with data transforms for fraud model features.
• Deliver containerized/serverless workloads on AWS with cost/performance focus.
• Build resilient platform components with automated monitoring and secure coding practices.
• Automate builds/deployments and maintain trunk-based workflows.
• Develop with Java/J2EE and modern Spring frameworks.
• Utilize Kafka for real-time event capture and analytics.
• Create maintainable microservices and contribute to runbooks and documentation.

Skills

Java

Spring Boot

RESTful microservices

AWS

Kafka

CI/CD (Jenkins, GitLab CI)

Maven

Jira/Confluence

SCA/SAST tools

Tools

Maven

Jenkins

GitLab

Bitbucket

SonarQube

Veracode

Confluence

Jira

AWS

Job description

Barclays Services LLC seeks a Senior Distributed Systems Engineer in Whippany, NJ to design and implement RESTful microservices for ultra-low latency decisioning, using Java/JDK 17+ and Spring Boot. The role involves building scalable, observable systems on AWS, with secure coding practices and automated deployments.

Responsibilities include developing rule-based engines, processing large datasets for fraud models, and collaborating across teams to deliver resilient, enterprise-grade software.