At a Glance
- Tasks: Design and build cloud-native infrastructure for index data distribution.
- Company: FTSE Russell, a leader in financial services and index management.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture focused on innovation and real-world problem-solving.
- Why this job: Join a team at the forefront of AI-driven software engineering in finance.
- Qualifications: 7+ years in software engineering with expertise in system design and cloud applications.
The predicted salary is between 63000 - 77000 £ per year.
FTSE Russell is a leading global provider of financial services, specialising in the creation and management of indexes, data, and analytic solutions. As part of the London Stock Exchange Group (LSEG), we support investors worldwide in making informed decisions across asset classes, investment strategies, and market segments. Our products are trusted by institutional and retail investors, asset managers, and pension funds to benchmark performance, build investment portfolios, and manage risk.
We're seeking a Senior Software Engineer to join the team building next-generation distribution capabilities for our index products. You'll be delivering index data to the global financial community across multiple channels including APIs, cloud data platforms, file-based delivery, and AI-native protocols. Reliability, security, and data quality are non-negotiable as we build out scalable, cloud-native infrastructure.
The ideal candidate is a self-sufficient, technically excellent engineer who can lead through architectural clarity, thorough code review, and hands-on delivery. You combine strong expertise in system design, data modelling, and debugging with genuine passion for how AI tooling is redefining software engineering. This is an individual contributor role where you will lead through the quality of your thinking and your engineering standards.
AI-First Engineering
This team operates with an AI-first approach. We expect hands-on experience with AI development tooling: terminal-based agents, AI-augmented IDEs, and automated workflows. You are ultimately accountable for production quality, security, and correctness. This means owning infrastructure review, security validation, system observability, and operational guardrails.
What You'll Do
- Design, build, and scale cloud-native distribution infrastructure with high resilience and performance requirements.
- Own system design and data modelling for sophisticated, multi-schema relational databases serving dynamic data workloads.
- Develop and maintain infrastructure as code, ensuring environments are reproducible, version-controlled, and secure.
- Design and implement test strategies including integration, contract, and end-to-end validation.
- Build secure, well-documented APIs and data delivery services for institutional financial clients.
- Lead technical direction through architectural guidance, code review, and pairing.
- Partner with product, operations, and client-facing teams to translate requirements into robust technical solutions.
Tech Stack
- Development: TypeScript, Angular/React, Python, SQL, OpenAPI
- Cloud: AWS (Lambda, API Gateway, S3, SQS, SNS, Aurora, and others as required)
- Databases: PostgreSQL, Apache Iceberg, DynamoDB, VectorDB (e.g. ChromaDB)
- IaC and CI/CD: Terraform, AWS CLI, GitLab
- AI Development: Agentic AI tooling (e.g. GitHub Copilot, Claude Code)
Experience We Value
- 7+ years of professional software engineering experience.
- Strong expertise in system design, distributed systems, and relational data modelling.
- Solid experience building and operating cloud-native applications on AWS.
- Ability to write and maintain infrastructure as code (Terraform or equivalent).
- Experience designing test strategies at multiple levels of the testing pyramid.
- Proficiency with AI development tooling and a clear understanding of how to use AI to accelerate delivery while maintaining quality.
- Strong debugging skills across distributed systems.
- Basic understanding of financial services or capital markets.
- Effective collaboration and the ability to communicate technical decisions to non-technical audiences.
How We Work
The Distribution team drives the development of innovative and secure products that power our services and meet the evolving needs of our clients. We foster a culture of engineering excellence, solving real-world problems with purpose and ambition. We're looking for skilled and passionate engineers to drive the future of modern solutions working with leading AI development tools.
- Build with purpose. Start with why. Define the problem before reaching for a solution.
- Customer driven. Work backwards from client needs and build products to address real-world problems.
- Technically courageous. Go beyond your comfort zone and push boundaries to deliver excellence.
- Learn and be curious. Continuously seek feedback, learn in formal and informal settings, actively share knowledge.
- Act as owners. Operate as though it is your business. Make thoughtful trade-offs and deliver long-term value.
- Lead with data. Validate assumptions, stay close to the details, act decisively.
- Build responsibly, deliver incrementally. Look for the small opportunities and milestones to build ambitious solutions.
- AI-native by default. Use AI tooling as a force multiplier, frame problems clearly, validate continually, and own the output.
Location: London (Hybrid, 3 days/week in office)
Senior Technical Lead, Index Distribution Engineering employer: London Stock Exchange Group
At London Stock Exchange Group, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Lead Java Engineer in our Risk Platform team, you will have access to unparalleled growth opportunities, working alongside industry experts in a vibrant London setting that champions diversity and professional development. Join us to make a meaningful impact while enjoying competitive benefits and a supportive environment that values your contributions.
Contact Details:
London Stock Exchange Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Technical Lead, Index Distribution Engineering
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We think you need these skills to ace Senior Technical Lead, Index Distribution Engineering
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at London Stock Exchange Group.
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How to prepare for a job interview at London Stock Exchange Group
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If London Stock Exchange Group uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
