Core Java Dev + Etrade

Role: Core Java Dev + Etrade

Toronto- Hybrid

Contract

Job Summary:

We are seeking a highly skilled Senior Java Developer with AI experience to join the FIC Global Spread Products eTrading Technology team. The successful candidate will contribute to the development of a next-generation electronic trading and algorithmic trading platform supporting high-performance, low-latency financial markets.

This role requires strong hands-on experience in server-side Java, multithreading, messaging, event processing, distributed caching, relational databases, and low-latency application design. Experience applying Artificial Intelligence, Machine Learning, or Generative AI to trading, market data, analytics, automation, or software engineering is highly desirable.

Key Responsibilities:

• Design, develop, and maintain high-performance, low-latency eTrading and algorithmic trading applications using Core Java.
• Contribute to the construction and evolution of the next-generation electronic trading platform.
• Develop robust, scalable, and resilient services for real-time market data, order processing, pricing, execution, and event-driven workflows.
• Apply advanced Java concurrency, multithreading, reactive programming, and asynchronous processing techniques.
• Design and implement messaging and event-processing solutions across multiple real-time data streams.
• Work with multicast messaging and other high-throughput communication technologies.
• Design and optimize distributed caching solutions, including Grid Gain/Ignite.
• Collaborate with architects, traders, product managers, quantitative developers, infrastructure engineers, and globally distributed technology teams.
• Participate in architectural decision-making and help shape the strategic direction of the eTrading infrastructure.
• Identify opportunities to use AI/ML and Generative AI to improve areas such as:

• Trading analytics and market-data processing
• Anomaly and pattern detection
• Intelligent monitoring and operational automation
• Code quality, testing, and developer productivity
• Forecasting, optimization, and decision-support capabilities

• Ensure AI-enabled solutions are designed with appropriate controls for performance, security, explainability, data quality, and regulatory compliance.
• Troubleshoot complex production issues and drive root-cause analysis and permanent resolution.
• Contribute to code reviews, technical design reviews, automated testing, and continuous improvement initiatives.
• Support DevOps, release management, and production deployment activities.
• Mentor junior and mid-level developers and, where required, provide technical leadership for delivery teams.

Required Qualifications and Experience:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
• 8+ years of hands-on experience developing server-side applications in Java.
• Strong expertise in:
• Core Java and Java Collections API
• Java Concurrency and multithreading
• Reactive programming and Rx Streams
• Asynchronous and event-driven application design
• Messaging and event processing across multiple streams
• Distributed caching, preferably Grid Gain/Ignite

• 5+ years of experience developing multicast messaging solutions.
• 5+ years of experience working with relational databases, including SQL Server, Sybase, Oracle, or equivalent technologies.
• 5+ years of experience designing low-latency trading application services.
• Strong understanding of performance tuning, memory management, garbage collection, profiling, and latency optimization.
• 5+ years of experience with DevOps and build/release tools, such as:
• Maven
• Jenkins
• Nexus
• Helios or similar deployment platforms

• Practical experience with distributed systems, fault tolerance, resiliency, and high availability.
• Demonstrated experience with technical design, system integration, and production support.
• Hands-on experience with AI/ML technologies, Generative AI, or AI-assisted software engineering, including familiarity with APIs, model integration, data pipelines, or machine-learning workflows.
• Strong analytical, problem-solving, and debugging skills.
• Excellent verbal and written communication skills.
• Strong attention to detail and commitment to quality.
• Ability to work effectively in a collaborative, global team environment.
• Demonstrated reliability, ownership, dedication, and a proactive approach to delivery.