Java Backend Engineer (Kafka, Kubernetes, AWS, Testing)

Request Technology, LLC; Chicago (IL); Híbrido; USD 120.000 - 180.000; Jornada completa

Descripción de la vacante

Request Technology, LLC is recruiting a Java Backend Engineer for a highly regulated financial firm. You will apply Core Java, AWS, Kafka, and Kubernetes to build scalable microservices and support testing with JUnit and SonarQube in a Kubernetes-based stack.

This is a hybrid role: three days onsite, two days remote. Responsibilities include leading design reviews, driving test automation, and guiding CI/CD pipelines with Jenkins, Docker, Harness and Rancher.

Formación

• BS degree in Computer Science or related field.
• 5+ years of professional software engineering experience with production systems.
• Experience with distributed computing frameworks such as Kafka and REST APIs.

Responsabilidades

• Design and write clean, maintainable Java code and troubleshoot complex issues.
• Lead design reviews, code reviews, and improve testing frameworks.
• Champion secure software delivery by integrating security findings and remediation.
• Own and improve CI/CD automation using Jenkins, Docker and Rancher.
• Mentor testing teams and drive automation framework adoption.

Educación

BS degree in Computer Science

Herramientas

Kafka

AWS

Kubernetes

Jenkins

Docker

Spring Boot

JUnit

SonarQube

Snyk

Veracode

Black Duck

PostgreSQL

REST APIs

Git

Descripción del empleo

***We are unable to sponsor as this is a permanent full-time role***

***Hybrid, 3 days onsite, 2 days remote***

A highly regulated financial firm is looking for a Java Backend Engineer (Kafka, AWS, Testing). This engineer will need a experienced background using Core Java, AWS, Kafka, testing with Junit/SonarQube, and Kubernetes.

Responsibilities:

• Design and write clean, maintainable, well-tested Java code, and lead debugging and root-cause analysis of complex framework and integration issues.
• Lead the design, development and enhancement of automation testing framework features, and drive adoption by testing teams through guidance, documentation and enablement.
• Lead code reviews, uphold engineering standards and best practices, and drive continuous improvement of the codebase and delivery practices.
• Champion secure software delivery by integrating and acting on findings from SonarQube, Snyk, Sysdig, Veracode, and Black Duck, and partner with security teams to remediate vulnerabilities.
• Own and improve CI/CD automation using Jenkins and containerized deployment with Docker, Harness, and Rancher, focusing on reliability, speed and repeatability.
• Serve as an escalation point for testing teams, resolving complex automation framework issues and identifying recurring problems to eliminate at the source.

Qualifications:

• BS degree in Computer Science or a similar technical field required; advanced degree or equivalent experience preferred
• 5+ years of professional software engineering experience with production systems, including distributed systems and backend microservice development, with a track record of delivering complex solutions with minimal supervision.
• Experience with distributed computing frameworks such as Kafka Streaming and message queues, including designing for scale, resilience and fault tolerance.
• Strong experience in API development, SQL databases, and data storage such as S3.
• Strong working knowledge of CI/CD, DevOps tools, Git, and test automation frameworks, with experience improving pipelines and release processes.
• Deep understanding of OOP, microservices architecture, REST APIs, and Java 8+ features, with the ability to apply design patterns and make sound architectural trade-offs.
• Advanced Java programming expertise including object-oriented design, concurrency and multithreading, performance tuning, and substantial experience with Spring Boot.
• Strong working knowledge of Kafka including producers, consumers, topics, partitioning and delivery semantics; experience with message serialization formats such as Protobuf or Avro and schema governance patterns.
• Hands-on experience with AWS services, especially S3, and an understanding of cloud-based design, security and cost considerations.
• Ability to write and optimize analytical SQL queries for relational database systems such as PostgreSQL.
• Proficient with Git workflows including branching strategies, pull requests, and code review; hands-on experience building and maintaining CI/CD pipelines with Jenkins or similar orchestration platforms.
• Practical experience with AI-assisted development tools such as Claude Code for code generation, refactoring, unit tests, and documentation, and the judgment to apply them in a disciplined engineering environment and coach others to do the same.