Location
London

Hours
Full Time

Salary
Negotiable

About the Role
FTSE Russell (part of London Stock Exchange Group) is building next-generation distribution capabilities that deliver index data to the global financial community across APIs, cloud platforms, and modern data delivery channels. We are seeking a hands-on Senior Full Stack Engineer to design and scale the systems that power this distribution, enabling reliable, secure, and high-performance data delivery to institutional clients worldwide. This is an individual contributor role with strong technical leadership expectations, where you will own system design, data modelling, and engineering standards across a critical client-facing platform.

You will design and build scalable data distribution systems, delivering data via APIs, cloud platforms, and client-facing services. You will own system architecture and data modelling, ensuring performance, reliability, and maintainability at scale. Developing secure, well-designed APIs and data services for external consumers will be key. You will drive engineering quality through testing, review, and standards to ensure production-grade delivery. Close partnership with product teams and stakeholders to translate complex requirements into robust technical solutions is essential.

The role involves working with a modern tech stack including TypeScript, Angular/React, Python, SQL, OpenAPI, and cloud technologies such as AWS (Lambda, API Gateway, S3, SQS, SNS, Aurora). Databases include PostgreSQL, Apache Iceberg, DynamoDB, and VectorDB (e.g. ChromaDB). Infrastructure as Code and CI/CD tools include Terraform, AWS CLI, and GitLab. You will also leverage AI development tools like GitHub Copilot and Claude Code.

Our Distribution team fosters a culture of engineering excellence, solving real-world problems with purpose and ambition. We build with purpose, start with why, and work backwards from client needs. We encourage technical courage, continuous learning, ownership, data-driven decision making, incremental delivery, and AI-native development.

Experience
Strong experience building distributed backend systems and APIs. Proven ability to own system design and data modelling. Experience working with cloud-native platforms such as AWS. Strong understanding of relational databases and data-intensive systems. Ability to lead through code quality, testing, and technical standards.

About you
Skilled and passionate engineer with a customer-driven mindset. Technically courageous and eager to push boundaries to deliver excellence. Committed to continuous learning and knowledge sharing. Operates with ownership mentality and makes thoughtful trade-offs to deliver long-term value. Comfortable working in a collaborative, innovative, and inclusive environment.

Qualifications
Relevant technical qualifications or equivalent experience in software engineering or related fields are expected. Experience with data distribution, APIs, or client-facing platforms is desirable. Exposure to financial or market data systems is a plus. Familiarity with AI-assisted engineering tooling is advantageous.