Java Developer (AI + High Volume Systems)

About

• 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.

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. • Partner with automation engineers to ensure strong test coverage, functional accuracy, and performance quality.

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. • 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 year’s 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. • 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).