Lead DevOps Engineer - Real Time Platform

United States Digital Space LLC
Greater London, UK
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Amazon Cloudfront Amazon S3 Bash Shell Cloud Computing Cloud Computing Security Continuous Integration DevOps Monitoring of Systems Identity and Access Management Python (Programming Language)
+18 more
Aws Command Line Interface (CLI) Amazon Simple Notification Service (SNS) TypeScript Alwayson Datadog AWS Cdk Real Time Systems GitHub Copilot Amazon Virtual Private Cloud (VPC) Cloudformation Gitlab-ci Low Latency Virtual Agents Functional Programming Cloudwatch Api Gateway Amazon Simple Queue Service (SQS) Terraform

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.

Requirements

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

Benefits & conditions

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

Apply for this position

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Prepare application

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