Senior Full Stack Engineer (Index Distribution Engineering)

London Stock Exchange • 12 days ago
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Salary
≈ $106k – $201k per year (Estimated)
Location
In office (London)
Seniority
Senior
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Jul 3, 2026. London Stock Exchange scores A on the Alion truth index.

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London Stock Exchange

Headquartered in London, United Kingdom, the London Stock Exchange is one of the world's oldest and most prominent financial exchanges. It provides international capital markets, premier listing venues such as the Main Market and AIM, and electronic trading infrastructure for equities, bonds, and exchange-traded funds. As a core subsidiary of the London Stock Exchange Group, it connects global issuers with investors to facilitate efficient capital formation, market liquidity, and economic growth.
londonstockexchange.com • HQ: London, United Kingdom • Financial Services • Financial Data & Market Intelligence • Stock Exchanges & Market Infrastructure • 1001-5000 employees
Tech stack of London Stock Exchange

Join FTSE Russell (LSEG) as a Senior Full Stack Engineer in Index Distribution Engineering. In this hands-on role, you will design and scale systems for reliable, secure, and high-performance data delivery to institutional clients worldwide. You will own system architecture and data modeling, develop secure APIs and data services, and drive engineering quality through testing and standards. Strong experience with cloud-native platforms, distributed backend systems, and relational databases is required.

Missions

  • Design and build scalable data distribution systems, delivering data via APIs, cloud platforms, and client-facing services.
  • Own system architecture and data modelling, ensuring performance, reliability, and maintainability at scale.
  • Drive engineering quality through testing, review, and standards, ensuring production-grade delivery.

Profil recherché

- Experience working with cloud-native platforms (AWS or similar)

- Ability to lead through code quality, testing, and technical standards

- Strong experience building distributed backend systems and APIs

- Proven ability to own system design and data modelling

- Strong understanding of relational databases and data-intensive systems

- Experience with data distribution, APIs, or client-facing platforms

- Experience with AI-assisted engineering tooling

- Exposure to financial data or market data systems

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