Core Java Developer with E-trade Experience

Job summary

Develop and support a next-generation electronic and algorithmic trading platform for high-performance, low-latency financial markets. Contribute to technical design, system integration, production support, and the application of AI technologies to trading or software engineering.

Job details

Role: Core Java Developer with E-trade Experience Location: Toronto, ON (Hybrid) Fulltime 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. 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 GridGain/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.

What you’ll do

Develop and support a next-generation electronic and algorithmic trading platform for high-performance, low-latency financial markets. Contribute to technical design, system integration, production support, and the application of AI technologies to trading or software engineering.

Requirements

Requires a bachelor’s degree in a relevant technical discipline and at least eight years of hands-on server-side Java development, including substantial experience with multicast messaging, relational databases, low-latency trading services, and DevOps tools. Candidates should also bring expertise in performance optimization, distributed systems, production support, and practical AI/ML or Generative AI integration.

Listed skills

• SQL · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Core Java
• Java Collections API
• Java Concurrency
• Multithreading
• Reactive Programming
• Rx Streams
• Asynchronous Programming
• Event-Driven Design
• Messaging
• Multicast Messaging
• Distributed Caching
• GridGain/Ignite
• Relational Databases
• SQL
• Low-Latency Trading Systems
• Artificial Intelligence and Machine Learning

Job areas

• Software
• Technology
• Finance & Accounting
• Data & Analytics

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