Senior Cloud Platform Engineer - AI-Driven, Low Latency

LSEG (London Stock Exchange Group); New York (NY); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Wellness allowance

Paid time off

Medical insurance

Dental insurance

Vision insurance

401(k) match

Commuter benefits

Job summary

LSEG (London Stock Exchange Group) invites applications for a Senior Associate to help modernise and scale the FTSE Russell platform. You will work on a cloud-native, low-latency system that operates at global scale and underpins critical investment products used worldwide.

You will leverage AWS and AI-assisted development tooling to accelerate delivery while maintaining control. Practical experience with AI-assisted development tools to improve engineering productivity is required.

Qualifications

• Experience developing software using Java, Python, C++, C# or similar technologies.
• Experience with cloud platforms such as AWS or Azure.
• Knowledge of CI/CD, automation, testing and modern engineering practices.
• Bachelor’s degree in computer science, engineering or equivalent practical experience.
• Strong problem-solving and analytical skills.
• Interest in AI and emerging technologies.
• Ability to collaborate effectively across global teams.

Responsibilities

• Modernise and scale FTSE platform, a cloud-native, low-latency system.
• Leverage AWS and AI-assisted development tooling to accelerate delivery.
• Ensure performance, data quality and reliability.
• Collaborate with global teams across engineering and product groups.

Skills

Java

Python

C++

C#

Cloud platforms (AWS/Azure)

CI/CD

AI awareness

Team collaboration

Problem solving

Education

Bachelor’s degree in computer science or engineering

Job description

LSEG (London Stock Exchange Group) invites applications for a Senior Associate to help modernise and scale the FTSE Russell platform. You will work on a cloud-native, low-latency system that operates at global scale and underpins critical investment products used worldwide.

You will leverage AWS and AI-assisted development tooling to accelerate delivery while maintaining control. Practical experience with AI-assisted development tools to improve engineering productivity is required.