Sr Lead Software Engineer - Java / Python

In this role you lead the design and delivery of trusted, high-performance software for trading systems within Digital Markets Execution Technology. You work as a core technical contributor in an agile, cross-functional team to build secure, scalable solutions that meet business objectives. You drive reliability, security, and observability while guiding API strategies, incident response, and AI-assisted development to improve quality and delivery speed. This is a hands-on, impact-focused role at a premier financial services firm.

• Execute and oversee end-to-end software solutions, architecture, and troubleshooting for trading systems
• Design and build high-performance, latency-sensitive services with awareness of upstream/downstream dependencies
• Develop secure, production-grade code and review others’ code
• Lead technical analysis, planning, reviews, and retrospectives to drive delivery outcomes
• Establish reliability goals and implement observability and resilience patterns
• Lead incident response and post-incident reviews to improve stability and automate remediation
• Uphold secure-by-default engineering practices and risk/control standards across the SDLC
• Guide integration contracts, API/versioning strategies, and deprecation paths for platform services
• Drive adoption of enterprise-approved AI-assisted engineering tools with validation for correctness, performance, and security
• Mentor engineers and foster include, collaborative, continuous-improvement culture aligned to outcomes

• Formal training or certification on software engineering concepts and advanced applied experience in Java / Python
• Hands-on experience delivering system design, application development, testing, and operational stability for mission-critical platforms
• Advanced in Java (17+), including concurrency and OO design
• Experience designing clean APIs and rollout strategies for distributed systems with backward compatibility
• Practical experience with Spring/Spring Boot, microservices, Kubernetes, Linux, and core networking/messaging concepts
• Proficient in SDLC, CI/CD, automated testing, resiliency, and security
• Experience leading use of enterprise-approved AI-assisted development tools and setting validation standards
• Strong understanding of responsible AI use in engineering workflows, data sensitivity, and secure inputs/outputs
• Effective communication with technical and non-technical audiences in globally distributed teams

• Effective communication
• Mentorship and leadership
• Collaboration and teamwork
• Java (17+), concurrency, memory management, OO design
• Python
• Spring/Spring Boot