Senior Manager, Service Engineering

London Stock Exchange Group•Saint Louis, NY

23h•Hybrid

About The Position

We are evolving our Service Management team to move beyond support and operations. As a Senior Engineer in service management, you will be part of a diverse and inclusive organization that has full ownership of the availability, performance, and scalability of one of the most critical services at LSEG. We are looking for people with a passion to learn, and who bring a continuous improvement mentality to our team! Support Managers maintain Service Level Objectives for the systems they own. Constantly measuring and improving availability, latency, and overall system health is at the core of our team's purpose. Write automation to scale systems sustainably, prevent service issues, or when they occur, quickly recover service. Partner with development teams to improve system reliability, observability, and release velocity. Participate in on-call rotations, incident response, postmortems, and root cause analysis and resolution. Be a vocal advocate of strong/sound engineering practices that allow us to build, deploy, and run scalable, reliable, and performant services. Enablers for Cloud migration working with foundation and migration teams from the inception of the projects performing architectural reviews, operational acceptable testing and configuring Datadog dashboards and metrics. Be part of continuous learning and development culture.

Requirements

A Bachelor's degree in computer science, a related technical field involving software/systems engineering, or equivalent practical experience.
Experience with scripting languages such as: Shell, Python, or similar.
Experience in maintaining Infrastructure as Code using Terraform.
Hands on Experience with one of the following cloud platforms: Azure, AWS, or GCP.
Knowledge on Docker and Kubernetes.
Observability tools like Datadog, Dynatrace or similar.
Implement and maintain CI/CD pipelines.
Incident response and running blameless post-mortems.
Proficient in Git workflows.

Nice To Haves

Minimum 8-10 years in the industry
Experience on DevOps concepts and way of working
Experience with algorithms and data structures.
Understanding of identity and access management, and application security.
Native Azure relational databases.

Responsibilities

Maintain Service Level Objectives for the systems they own.
Constantly measuring and improving availability, latency, and overall system health.
Write automation to scale systems sustainably, prevent service issues, or when they occur, quickly recover service.
Partner with development teams to improve system reliability, observability, and release velocity.
Participate in on-call rotations, incident response, postmortems, and root cause analysis and resolution.
Be a vocal advocate of strong/sound engineering practices that allow us to build, deploy, and run scalable, reliable, and performant services.
Enable Cloud migration working with foundation and migration teams from the inception of the projects performing architectural reviews, operational acceptable testing and configuring Datadog dashboards and metrics.
Be part of continuous learning and development culture.