Java Developer (AI + High Volume Systems)

In this contingent resource assignment you may: Consult on complex initiatives with broad impact and large-scale planning for Specialty Software Engineering.
Review and analyze complex multi-faceted larger scale or longer-term Specialty Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function policies procedures and compliance requirements that meet deliverables.
Strategically collaborate and consult with client personnel.

Required Qualifications:
5 years of Specialty Software Engineering experience or equivalent demonstrated through one or a combination of the following: work or consulting experience training military experience education.

We are seeking a highly skilled Java Developer to join a team building a next generation product designed to process millions of financial transactions with speed accuracy and resiliency. This role is ideal for developers who think big-picture enjoy designing systems that operate at scale and are eager to leverage modern AI development tools such as GitHub Copilot to accelerate delivery.
You will be part of a core engineering team responsible for receiving transforming and processing high volume trade data in real time. The ideal candidate brings deep Java expertise familiarity with modern development practices and enthusiasm for working with AI-assisted coding tools.
Automation testing experience is a strong plus.

Key Responsibilities:
Design build and enhance Java-based components for large-scale high-throughput trade processing systems.
Work with millions of inbound transactions ensuring performance reliability and latency requirements are met.
Leverage GitHub Copilot and other AI-enabled development tools as part of the coding workflow.
Collaborate with architects product owners and fellow engineers to design scalable resilient system components.
Write clean maintainable and efficient Java code using modern frameworks and development practices.
Participate in code reviews technical discussions and continuous improvement initiatives.
(Plus) Partner with automation engineers to ensure strong test coverage functional accuracy and performance quality.

Required Qualifications:
Strong hands-on Java development experience using modern versions and frameworks.
Ability to design and implement high-volume distributed or real-time data processing systems.
Comfort working with AI coding tools ideally GitHub Copilot (1 2 years experience expected not required to be an expert).
Proficiency with API development data processing and backend architecture patterns.
Solid understanding of software engineering fundamentals data structures and system design.
Test Automation: Develop execute and maintain automated test scripts using frameworks like Cucumber Selenium and TestNG.
Domain Expertise: Knowledge of trade lifecycles financial systems and high-volume data processing.
API/Database Testing: Strong experience in API testing and database validation (e.g. SQL Oracle).
CI/CD Integration: Collaborate with DevOps to integrate testing into the release pipeline.
Performance Testing: Ensure system stability under heavy load.

Common Requirements:
Experience: 5-8 years in QA/Test Automation often in Fintech or Banking.
Languages: Strong proficiency in Java Python or similar.
Tools: Jenkins JIRA SQL Cucumber Selenium Cypress/Playwright.

Preferred Qualifications:
Java-based test frameworks
Selenium
Cucumber
Python-based automation
Exposure to CI/CD pipelines and automated test integration.
Experience in financial services trading systems or other high-throughput/low-latency environments.

Bonus Profile (Hybrid Dev QA):
Developing automated test scripts for API database and functional validation.
Ensuring coverage for functional performance and integration testing.
Designing automation solutions for high-throughput environments (typically 5 8 years in automation engineering).