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# Java Backend Engineer 2

- **Company:** Randstad
- **Location:** Westlake, TX, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $125,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Big Data, Information Engineering, Distributed Systems, Spring Framework, NoSQL, Performance Tuning, SQL Databases, Data Logging, Spring-boot, Reliability of Systems, Backend, Restful APIs, Data Pipelines, Microservices
- **Published:** September 21, 2026
- **Apply:** https://www.dice.com/job-detail/6f54c49f-b048-4771-ae2f-44508139ba53

## About the Role

? Strong hands-on experience in Java (8+/11+/17+) and backend development? Expertise in Spring Boot / Spring Framework for building scalable microservices? Experience designing and consuming RESTful APIs? Solid understanding of distributed systems and system design principles? Experience working with data-intensive applications and backend services supporting data pipelines? Strong debugging and performance tuning skills in production environments? Familiarity with SQL/NoSQL databases? Experience with error handling, monitoring, and logging frameworks? Ability to work in cross-functional teams and communicate with business stakeholders

skills:

backend development,Java,system reliability,Data Reconciliation,financial services

## Description

We are seeking a Senior Java Engineer to play a critical role in evolving and stabilizing a high-impact Case Authorization and Data Reconciliation platform within a leading financial services organization.

This role goes beyond traditional backend development-you will act as an engineering owner, driving business-critical logic, improving system reliability, and partnering closely with stakeholders to deliver scalable, production-grade solutions., ? Own and enhance the Case Authorization platform, enabling intelligent prioritization of business workflows? Design and implement robust backend services using Java and modern frameworks? Collaborate with Data Engineering teams to ensure end-to-end data consistency from APIs to downstream systems? Build and maintain reconciliation logic to validate data accuracy across systems? Analyze and optimize performance bottlenecks in existing services and integrations? Develop reliable integrations with REST APIs and external data sources? Implement production-grade error handling, logging, and observability frameworks? Partner directly with business stakeholders to translate requirements into scalable technical solutions? Contribute to system design, architecture decisions, and best practices


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