Senior Linux DevOps Engineer for Market Data Pipelines

LSEG; Taguig; On-site; PHP 2,000,000 - 3,200,000; Full time

Benefits offered by this job

Healthcare

Retirement planning

Volunteering days

Wellbeing initiatives

Job summary

London Stock Exchange Group (LSEG) is seeking a Senior Linux DevOps Engineer to join our capital markets data platform. You will own data capture systems and manage the production data pipeline, with a strong focus on performance, reliability, and future growth across components.

You will automate provisioning with Ansible, deploy containerized services using Docker/Podman, and work in a fast-paced environment across time zones, including US Eastern hours during training and some weekend

Qualifications

• 5 to 7+ years of Linux experience (RHEL preferred).
• 5+ years scripting with Bash and/or Python.
• Ansible for provisioning and config management.
• Linux performance tuning and server architecture know-how.
• Experience deploying containerized apps (Docker/Podman).
• Git-based version control (GitLab/GitHub).
• Basic networking and ability to read capture tools.
• AWS, S3, and Rsync familiarity.
• Strong English communication skills.

Responsibilities

• Own high-performance data capture systems and the data pipeline.
• Develop and maintain automation for provisioning and config with Ansible.
• Design, deploy, and manage containerized apps in production.
• Tune Linux servers for latency, reliability, and scalability.
• Collaborate across teams and adapt to shift patterns.

Skills

Linux Admin

Bash/Python

Ansible

Performance Tuning

Containerization

Git/GitHub/GitLab

Networking basics

AWS

English fluency

Automation

Tools

Docker

Podman

Job description

London Stock Exchange Group (LSEG) is seeking a Senior Linux DevOps Engineer to join our capital markets data platform. You will own data capture systems and manage the production data pipeline, with a strong focus on performance, reliability, and future growth across components.

You will automate provisioning with Ansible, deploy containerized services using Docker/Podman, and work in a fast-paced environment across time zones, including US Eastern hours during training and some weekend