Description

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 GridGain/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:
o Trading analytics and market-data processing
o Anomaly and pattern detection
o Intelligent monitoring and operational automation
o Code quality, testing, and developer productivity
o 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:
o Core Java and Java Collections API
o Java Concurrency and multithreading
o Reactive programming and Rx Streams
o Asynchronous and event-driven application design
o Messaging and event processing across multiple streams
o 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:
o Maven
o Jenkins
o Nexus
o 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.
Preferred Qualifications:
· 2+ years of hands-on experience with cloud or container technologies, including:
o Docker
o Kubernetes
o Cloud-native platforms
o CI/CD and infrastructure automation
· Experience with AI/ML frameworks, model-serving platforms, or data-science technologies.
· Experience applying AI to financial services, capital markets, electronic trading, market surveillance, risk, or operations.
· Experience with Python, Spark, Kafka, or other technologies used in data and AI ecosystems.
· Experience with FIX protocol, market-data feeds, order-management systems, or trading platforms.
· Experience with performance testing, benchmarking, and latency measurement.
· Experience managing technical delivery, coordinating projects, and leading development teams.
· Ability to manage and mentor people while maintaining hands-on technical involvement

Key Skills

Education

Bachelor's degree