L
London Stock Exchange
Senior Technical Lead
Skills
SQL QueriesReactTypescriptPythonPostgreSQLAWS LambdaGitLabSwagger/OpenAPIAIAWSGitHubWorkdayTerraform
1 month ago
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Important information
Location:
London, UK
Work mode:
Onsite
Published on:
28 September 2026
What they need
Who you are
- 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
What the job involves
- 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)
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