Senior Full Stack​/Native Cloud Engineer; Vice President

Position: Senior Full Stack/Native Cloud Engineer (Vice President)
Company Jefferies, a global investment bank and securities firm, has served companies and their investors for over 60 years. Headquartered in New York City, with offices in more than 25 cities around the world, Jefferies provides clients with capital markets and financial advisory services, institutional brokerage, securities research and asset management.  The firm is a leading provider of trade execution in equity, high yield, convertible and international securities for institutional investors and high net worth individuals.

Role Overview Jefferies is seeking a highly experienced Senior Full Stack / Native Cloud Engineer at Vice President level to join our London Technology team. This is a strategic, hands-on engineering leadership role focused on designing and delivering scalable, cloud-native, event-driven platforms that enable data-driven and intelligent solutions across Jefferies’ client-facing business units.

The role will form part of the Madison CRM & Analytics programme and will require a strong combination of deep technical expertise, end-to-end delivery ownership, and engineering leadership. The successful candidate will work closely with business stakeholders, product managers, and globally distributed technology teams to build resilient, high-performance platforms and user-facing solutions that support critical front-office workflows.

This role is well suited to an engineer who is comfortable operating across the full technology stack, from backend services and distributed data architecture through to responsive user interfaces, production support, and engineering best practice.

Key Responsibilities Lead the design, development, and delivery of backend services and platform components using Java 8+ / Spring Boot and Python / FastAPI. Build, enhance, and operate event-driven, real-time data pipelines using Kafka and related streaming technologies. Provide deep technical expertise in distributed systems, data architecture, and scalable platform design. Design, implement, and maintain Java-based APIs and microservices, including REST, OpenAPI, GraphQL, and gRPC services.

Work with modern data technologies including PostgreSQL, MongoDB, and Amazon Redshift. Deliver reliable, performant, and responsive user interfaces aligned to UX designs, using Angular or React. Own solutions end-to-end, from technical design and architecture through to production deployment, monitoring, support, and continuous improvement. Champion engineering best practices across code quality, testing, CI/CD, observability, maintainability, and operational resilience. Mentor and guide junior and mid-level engineers, setting high technical standards through code reviews, design reviews, and hands-on technical leadership.

Independently identify, analyse, scope, and propose solutions to complex technical challenges with minimal direction. Partner closely with business stakeholders, product managers, and cross-functional technology teams to translate requirements into robust technical solutions. Optimise systems for performance, scalability, resiliency, reliability, and low-latency operation. Participate actively in Agile ceremonies, contributing to sprint planning, estimation, execution, retrospectives, and continuous delivery improvements. Collaborate with globally distributed engineering teams to ensure consistency of architecture, delivery standards, and platform evolution.

Support production systems, ensuring timely issue resolution, effective root-cause analysis, and ongoing service improvement.

Required Skills and Experience Strong professional experience in full stack software engineering, ideally within financial services, capital markets, or another complex enterprise technology environment. Advanced backend engineering experience with Java 8+, Spring Boot, and microservices-based architectures. Strong Python development experience, preferably with FastAPI or similar modern API frameworks. Proven experience designing and building cloud-native, distributed, scalable, and resilient systems. Hands-on experience with Kafka or similar event streaming technologies.

Strong understanding of API design and service…