Lead AI Platform Engineer: Secure, Scalable Systems

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

Job summary

London Stock Exchange is seeking a Lead Engineer to own core engineering capabilities for secure, scalable, AI-enabled digital products. You will drive backend and frontend development, set coding standards, and lead architecture decisions within cross-functional teams.

You will mentor engineers, conduct code reviews, and improve deployment and monitoring processes while embedding AI capabilities into production systems. Strong full-stack, security, and ML experience are essential.

Qualifications

• 5+ years of software engineering experience with technical leadership.
• Strong full-stack expertise in ReactJS, JavaScript, and TypeScript.
• Experience with Java/Kotlin, Spring Boot, REST APIs and MongoDB.
• Strong secure coding knowledge (OWASP).
• Experience leading AI feature development or ML model production.
• Experience with CI/CD, Git workflows, and automated testing.

Responsibilities

• Take ownership of building core engineering capabilities for AI-enabled digital products.
• Lead backend and frontend systems and enforce engineering best practices.
• Guide architecture design, solution implementation, and development workflows.
• Mentor engineers, conduct code reviews, and guide technical decisions.
• Improve deployment, monitoring, and operational processes.
• Lead integration of AI capabilities, including model deployment and monitoring.

Skills

Full stack expertise

Technical leadership

Architecture design

Code reviews

Mentoring

ReactJS

JavaScript

TypeScript

CI/CD

Git workflows

Automated testing

Secure coding (OWASP)

AI feature development

ML model production

Tools

MongoDB

Spring Boot

REST APIs

Java

Kotlin

Job description

London Stock Exchange is seeking a Lead Engineer to own core engineering capabilities for secure, scalable, AI-enabled digital products. You will drive backend and frontend development, set coding standards, and lead architecture decisions within cross-functional teams.

You will mentor engineers, conduct code reviews, and improve deployment and monitoring processes while embedding AI capabilities into production systems. Strong full-stack, security, and ML experience are essential.