Senior AI-First Software Engineer — Cloud-Native

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

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