Lead Software Engineer

Job Responsibilities

• Collaborate with engineers to design, build, and deploy applications aligned with business and functional requirements.
• Contribute to Java-based microservices using streaming, non-blocking, and reactive programming paradigms; write production-quality code.
• Work with Kafka, IBM MQ, Kubernetes (K8s), Redis, Amazon MSK, and AWS services to deliver scalable, efficient systems.
• Support domain-driven design adoption and participate in architectural discussions.
• Contribute to technical documentation and service APIs (Swagger/OpenAPI), ensuring strong logging, auditability, security, and monitoring.
• Participate in API design sessions and help select appropriate design patterns and integration approaches.
• Engage in code reviews; promote TDD/BDD practices to ensure maintainability and quality.
• Assist in demonstrating service scalability and resilience using mock frameworks, performance testing, and related tools.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

• Experience with the Spring ecosystem and AWS cloud services.
• 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 engineers on safe, compliant adoption within delivery practices
• Caching: Redis, GemFire, or Apache Ignite
• Messaging/streaming: Kafka, IBM MQ
• Working knowledge of microservices, REST APIs, SQL and NoSQL databases, and event-driven architectures.
• Practical understanding of CI/CD, DevOps toolchains, and agile, test-driven delivery.
• Demonstrated experience leading effective use of approved AI-assisted software development tools (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.

Preferred qualifications, capabilities, and skills

Familiarity with trading systems; exposure to the FIX protocol is a plus.

About Us Join a team at the forefront of trading technology innovation. You’ll work in a collaborative environment where your contributions directly support the success of our multi-asset trading platform. If you are passionate about building scalable systems and growing your technical expertise, we encourage you to apply.