Senior Technical Lead (Index Distribution Engineering)

London Stock Exchange; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

London Stock Exchange is seeking a Senior Software Engineer to help build next-generation distribution capabilities for our index products, delivering index data to the global financial community through APIs, cloud platforms, file delivery, and AI-native protocols.

The ideal candidate combines strong system design and data modelling with hands-on delivery, leading through architecture, code quality, and rigorous reviews, while ensuring production readiness, security, and observability in a

Qualifications

• 7+ years of professional software engineering experience.
• Strong in system design, data modelling, and debugging.
• Proven ability to lead through architectural guidance.
• Hands-on experience with AI tooling and AI-native workflows.
• Experience building cloud-native applications on AWS.

Responsibilities

• Design, build, and scale cloud-native distribution infrastructure.
• Own system design and data modelling for multi-schema relational databases.
• Develop and maintain infrastructure as code with reproducible environments.
• Design and implement secure, well-documented APIs for clients.
• Lead through architectural guidance, code reviews, and pairing.
• Collaborate with product, operations, and client-facing teams.

Skills

Distributed systems

System design

Debugging

Communication with non-technical

AI tooling proficiency

7+ years of experience

Cloud-native architectures

OpenAPI / API design

TypeScript

Python

SQL

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

AWS CLI

GitLab

PostgreSQL

Apache Iceberg

DynamoDB

VectorDB (ChromaDB)

OpenAPI

Job description

• 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
• 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
• 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)

• Ability to write and maintain infrastructure as code (Terraform or equivalent)
• Strong expertise in system design, distributed systems, and relational data modelling
• Proficiency with AI development tooling and a clear understanding of how to use AI to accelerate delivery while maintaining quality
• 7+ years of professional software engineering experience
• Experience designing test strategies at multiple levels of the testing pyramid
• Solid experience building and operating cloud-native applications on AWS
• Effective collaboration and the ability to communicate technical decisions to non-technical audiences
• Basic understanding of financial services or capital markets
• Strong debugging skills across distributed systems