Engineer - Site Reliability Engineering

LSEG•St. Louis, MO

2d•Hybrid

About The Position

Our Team We are evolving our Reliability Engineering team to move beyond support and operations. As a Senior Engineer in Site Reliability, 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 shared services at LSEG. Main responsibilities We are looking for people with a passion to learn, and who bring a continuous improvement mentality to our team! SREs 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 Object Oriented programming languages such as: Java, C#, Python, or Go.
Experience with Unix/Linux and Windows operating systems.
Hands on Experience with one of the following cloud platforms: Azure, AWS, or GCP.

Nice To Haves

Minimum 8-10 years in the industry
Experience on DevOps concepts and way of working
Experience with algorithms and data structures.
Experience in Observability practices with logging, metrics, tracing, and alerting.
Experience with Infrastructure as Code.
Understanding of identity and access management, and application security.
Experience with Datadog and BigPanda for observability stack.
Experience with Terraform for cloud infrastructure.
Experience with EntraID as IAM solutions.

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.
Act as 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.