Lead Equities Risk Engineer - Lead Software Engineer
Listed on 2026-01-12
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Software Development
Software Engineer, Full Stack Developer, Cloud Engineer - Software, DevOps
As a lead software engineer within the Global Equity Derivatives Risk Management team you will help drive the delivery of a best in class platform that handles real time streaming position and risk management for a wide range of complex financial products. The individual selected for this role will combine a unique mix of strong hands‑on development skill, involvement in technical design and architecture decisions, and ability to draw on deep experience to provide technical leadership and mentoring to a new and growing team of technologists.
You will help drive the full delivery lifecycle through design, development, testing, deployment and support. The successful candidate must be passionate about working in a fast moving environment, collaborating across a global team of multiple disciplines and agile development process. The candidate must be excited about working with new technologies and continually learning and evolving their skillset.
Job Responsibilities- Design, develop and maintain high-quality Java applications, ensuring clean, efficient and well-structured code.
- Provide technical leadership to a small team, guiding developers on design, implementation, code quality and best practices while ensuring timely and high-quality delivery.
- Build and optimize low‑latency, high‑throughput components for equities risk systems, ensuring real‑time processing and stable performance during peak market loads.
- Apply object‑oriented design principles and industry‑standard design patterns to create modular, scalable and maintainable systems.
- Adopt Test‑Driven Development (TDD) to deliver reliable, well‑tested and production ready code.
- Ensure compliance with coding standards, security guidelines and architectural best practices throughout the development life cycle.
- Implement and support CI/CD pipeline principles, enabling automated build, test and deployment workflows.
- Monitor, troubleshoot and optimize application performance, ensuring reliability, scalability and efficient resource utilization.
- Follow Agile principles and actively participate in Scrum ceremonies, supporting iterative and collaborative development.
- Collaborate with cross‑functional teams to deliver end to end features and resolve technical issues efficiently.
- Formal training or certification in Software Engineering concepts and 12 ye +ars of hands‑on experience with Java technologies.
- Ability to lead and mentor a small engineering team in architecture, development and problem‑solving.
- Java 17 + experience with multi‑threaded, high‑performance backend development.
- Hands‑on experience with Spring Boot and Spring Framework, including microservices, REST services and dependency management.
- Practical experience with FIX protocol, including message parsing, handling and connectivity to trading venues.
- Experience with high‑performance messaging and persistence frameworks, such as Chronicle Queue, AMPS or other ultra‑low‑latency technologies.
- Proficiency with gRPC and high‑throughput inter‑service communication.
- Ability to independently design and implement complex logic, algorithms and workflows for scalable distributed systems.
- Experience in Unix/Linux environments, including shell scripting for automaton and operational tasks.
- Experience developing applications on AWS Cloud, leveraging services such as Lambda, S3, Glue, Redshift, Step Functions and others to build a scalable and reliable systems.
- Hands‑on experience with CI/CD automation and build pipelines (Git, Jenkins, Maven etc..)
- Experience building distributed applications, event‑driven systems and real‑time processing pipelines.
- Experience with React/JS
- Experience with Deephaven or similar real‑time analytics/data visualization engines.
- Understanding of market reference data, including symbology, pricing, market feeds.
- Financial markets background, ideally equity trading, market microstructure or front‑office trading systems.
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