Full Stack Engineer - Equities Autocallables

Full Stack Engineer - Equities AutocallablesAbout MillenniumMillennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.Meet the TeamInformation 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 DoDesign, 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 BringBachelor’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. Recruiter:Eric EnlowHiring Manager:Zhirong LiangDepartment:Information Technology