Java Lead Software Engineer - Asset Management Trading
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer in Asset Management Trading Technology, you will design, build, and evolve industry-leading platforms that manage orders and execute trades across diverse asset classes. Working closely with Traders, you will engineer solutions that automate and optimize the order management lifecycle. You will be part of a team that values technical excellence, creative problem-solving, and rapid delivery, where your expertise will directly shape the future of trading technology.
Job Responsibilities
- Design and engineer scalable, high-performance trading systems across multiple asset classes.
- Collaborate directly with Traders to deliver impactful solutions.
Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
- Build and develop core Java applications for mission-critical trading platforms.
- Architect and implement next-generation messaging and streaming technologies such as Kafka.
- Drive technical innovation and contribute creative ideas for platform advancement.
- Drive the adoption and scaling of GenAI practices within the software development workflow, bringing creative ideas on how to use AI tooling effectively and reliably.
- Lead code reviews and mentor team members to ensure engineering excellence.
- Participate in the full software development lifecycle from design through to production.
Required Qualifications, Capabilities, and Skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability
Advanced in one or more programming language - Java or Python or Go along with strong AWS cloud experience.
Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
- Strong knowledge of core Java and object-oriented design principles. Experience with messaging and streaming technologies e.g. Kafka.
- Solid understanding of modern software architecture and design patterns.
- Commitment to building reliable, scalable, and maintainable systems.
- Ability to collaborate effectively with cross-functional teams including Traders and Quants.
- Passion for code quality, engineering excellence, and elegant solutions.
Preferred Qualifications, Capabilities, and Skills
- Experience in financial services or Trading technology.
- Knowledge of distributed systems and microservices architecture.
- Understanding of observability and telemetry principles.
- Interest in financial markets and trading workflows.
- Experience mentoring or leading technical teams.
- Exposure to low-latency or high-throughput systems.