Lead DevOps Engineer - Real Time Platform

United States Digital Space LLC; Greater London; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Healthcare

Retirement planning

Paid volunteering days

Wellbeing initiatives

Job summary

United States Digital Space LLC in Greater London is seeking a Lead DevOps Engineer to design, secure, and operate cloud infrastructure supporting low-latency, real-time workloads. This role requires a deep understanding of AWS and infrastructure as code capabilities.

The ideal candidate will have strong experience in building resilient systems and implementing cloud security principles. The position offers a range of benefits including healthcare and wellbeing initiatives.

Qualifications

• Strong experience designing and operating cloud-native infrastructure on AWS.
• Deep expertise in infrastructure as code (Terraform) at scale.
• Strong understanding of cloud security principles, hands-on implementation experience.
• Experience with observability and incident response in production systems.

Responsibilities

• Design and operate cloud infrastructure on AWS for low-latency workloads.
• Own infrastructure as code and platform architecture for secure environments.
• Embed security and resilience by design in cloud systems.
• Build observability for fast detection and resolution of incidents.
• Enable fast delivery through CI/CD and automation support.

Skills

Cloud-native infrastructure design

Infrastructure as Code (Terraform)

Cloud security principles

Observability and incident response

Technical leadership

Tools

AWS

Terraform

GitLab CI

CloudWatch

Python

Job description

ROLE SUMMARY

FTSE Russell (LSEG) is building the real‑time platform that powers global index calculation across equity, fixed income, and multi‑asset markets.

We’re looking for a hands‑on Lead DevOps Engineer to design, secure and operate the cloud infrastructure that keeps this platform always on — supporting low‑latency, real‑time workloads at global scale.

This is an individual contributor leadership role, where you’ll define infrastructure architecture, raise operational standards, and ensure resilience, security, and observability across a mission‑critical platform.

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.

WHAT YOU'LL DO

• Design and operate cloud infrastructure on AWS to support low‑latency, always‑on real‑time workloads.
• Own infrastructure as code and platform architecture, ensuring secure, scalable and reproducible environments.
• Embed security and resilience by design, including IAM, network controls, encryption, and failover strategies.
• Build observability and operational excellence, enabling fast detection and resolution of incidents.
• Enable safe, fast delivery through CI/CD and automation, partnering closely with engineering teams.

Tech Stack

• Infrastructure as Code: Terraform, AWS CloudFormation, AWS CDK.
• Cloud: AWS (Lambda, API Gateway, S3, SQS, SNS, Aurora, VPC, IAM, CloudFront, WAF, and others as required).
• CI/CD: GitLab CI, Terraform, AWS CLI.
• Observability: CloudWatch, Datadog, OpenTelemetry
• Languages: Python, Bash, TypeScript.
• AI Development: Agentic AI tooling (e.g. GitHub Copilot, Claude Code).

WHAT YOU'LL BRING

• Strong experience designing and operating cloud‑native infrastructure on AWS.
• Deep expertise in infrastructure as code (Terraform) at scale.
• Proven ability to build and run resilient, highly available systems.
• Strong understanding of cloud security principles, with hands‑on implementation.
• Experience with observability and incident response in production systems.
• Ability to lead through technical standards and delivery, not just tooling.

Nice to Have

• Experience supporting low‑latency or real‑time systems.
• Exposure to financial services or market data platforms.
• Practical experience with AI‑assisted engineering workflows.

Benefits

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Equal Opportunities

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.