Senior Manager, Service Engineering

About the role

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.

What You will be Doing

• 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.
• 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.

What You will Bring

• 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.

Preferred Qualifications

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