Full Stack Engineer - Equities Autocallables
Meet the Team Information Technology is core to the health and growth of our business; the firm's active, multi-manager business model demands flexible, scalable technology and advanced proprietary systems, including the development of the next generation of analytical and trading capabilities. This role sits within a global team responsible for enhancing and supporting a real-time trade capture platform that processes, normalizes, and enriches the firm's executions across multiple asset classes, feeding downstream systems including real-time P&L, risk, and reporting. The team is currently focused on equities buildout, with particular emphasis on equities and options, and on integrating with third-party platforms such as Murex and ION.
What You'll Do - Design, develop, and maintain Java-based services that support a real-time trade capture platform for our autocallable buildout.
- Build and support Kafka-based streaming pipelines to process, normalize, and distribute trading and reference data to downstream systems (P&L, risk, reporting, and analytics).
- Collaborate closely with portfolio managers, traders, operations, and risk teams to translate requirements into robust technical solutions.
- Contribute to the architecture and design of low-latency, high-availability components, including multithreaded and distributed systems.
- Write clean, testable, and well-documented code, including: unit, integration, and regression tests; participate in code and design reviews.
- Build, test, and deploy production-grade AI solutions using generative AI approaches, including LLMs, RAG, fine-tuning, prompt optimization, and agentic workflows.
- Monitor, troubleshoot, and resolve production issues related to trading workflows, data integrity, and system performance, including on-call rotation as needed.
- Partner with DevOps/Platform teams to enhance CI/CD pipelines, deployment automation, and observability (logging, metrics, alerting).
What You Bring - Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 5+ years of professional software development experience with a strong focus on Java 17+ (Core Java, collections, concurrency, JVM fundamentals).
- 2+ years of professional experience with front-end technologies using TypeScript/JavaScript; this role uses Angular.
- Deploy AI-assisted tools and modern developer workflows using MCPs, Agent Architecture, and post-AI evaluations.
- Functional exposure to the investment process, particularly equities, credit, futures, or products, is highly desirable.
- Practical experience with Kafka (designing, building, and supporting streaming/real-time data pipelines), CI/CD pipelines (Jenkins), DevOps tools/practices (e.g., Git, build tools, automated testing, deployment automation), and SQL databases such as Postgres and SQL Server
- Demonstrated ability to quickly learn and understand existing systems, data models, and business processes, working independently while collaborating effectively with a distributed global team across time zones.
