Manager, Site Reliability Engineering (SRE)

Thomson Reuters•Eagan, MN

3d•Hybrid

About The Position

The Manager, Site Reliability Engineering (SRE) leads a team responsible for product availability, reliability, and performance. The role combines technical depth, hands-on use of AI, and people leadership. The manager owns the team’s contribution to availability targets, leads incident and problem management, and builds telemetry and processes to measure service health. They serve as an escalation point for urgent customer issues and connect engineering, operations, and senior leadership. The manager advances reliability, scalability, and performance practices while driving sustainable improvements, resilience, automation, and integration of SRE practices into the software development lifecycle. They identify responsible uses of AI and machine learning to improve reliability and efficiency, and lead the development of monitoring, alerting, and automation solutions. They also hire, mentor, and develop SREs, establish clear expectations, and foster a culture of collaboration, learning, and continuous improvement.

Requirements

Bachelor’s degree or equivalent experience.
At least 5 years of leadership experience managing DevOps engineers, Site Reliability Engineers, or related technical professionals.
At least 5 years of relevant experience in software development and/or technology platforms, infrastructure, or operations.
Ability to set direction and inspire team members to engage with and deliver on a vision.
Experience developing team members through performance evaluations and constructive feedback.
Experience managing availability targets and leading incident and problem management processes.
Strong problem-solving and analytical skills, with a proactive approach to complex technical issues.
Experience with cloud platforms and their APIs, such as AWS, Azure, or GCP.
Hands-on experience with DevOps practices, including CI/CD pipelines, configuration management, and infrastructure-as-code tools such as Terraform or Bicep.
Experience designing and supporting scalable systems and services.
Experience with observability tools such as Datadog or New Relic, and defining service-level objectives (SLOs) and monitoring standards.
Experience using AI/ML tools to improve service, reduce cost, and reduce toil.
Comfort evaluating and adopting new AI tools, validating their outputs, and handling data responsibly.
Hands-on programming and scripting experience in languages such as Python, Java, or C#.
Ability to learn new technologies quickly, including AI tools, products, and architecture.
Excellent critical thinking, communication, presentation, documentation, troubleshooting, and collaborative problem-solving skills.
Demonstrated ownership of accountabilities.
Comfort working in a fast-paced environment and motivation by complex technical and business challenges.

Nice To Haves

Experience with AIOps solutions and AI-driven monitoring and anomaly detection.
Experience leading release management and coordinating cross-functional teams through deployment, monitoring, and maintenance of new features and updates.
Experience representing a team to senior leadership or customers.
A Computer Science or related technical degree.

Responsibilities

Drive best practices for reliability, scalability, and performance across systems and services.
Ensure the team delivers sustainable improvements rather than only reactive support.
Identify reliability risks and develop mitigation strategies to support business continuity and resilience.
Identify opportunities to use AI and machine learning to improve reliability, reduce cost, and lower risk.
Promote DevOps principles and integrate SRE practices into the software development lifecycle.
Champion automation, AI, and tooling to streamline operational workflows, increase efficiency, and reduce manual toil.
Drive development of monitoring, alerting, and automation solutions that proactively identify and remediate issues.
Lead incident and problem management, using AI-assisted tools to speed triage and root-cause analysis.
Communicate major incidents, root causes, and corrective actions to senior leadership.
Turn incident learnings into durable actions that help prevent repeat events.
Lead and mentor SREs by providing technical guidance, coaching, and support.
Hire, develop, organize, and equip talent, and make hiring decisions.
Build a service culture and motivate staff through clear expectations and constructive feedback.
Foster continuous improvement through experimentation, learning, knowledge sharing, and professional development.
Encourage responsible adoption of AI tools by the team.

Benefits

Flexible hybrid work environment for office-based roles.
Flexible work arrangements, including working from anywhere for up to 8 weeks per year.
Flexible vacation and paid time off.
Two company-wide Mental Health Days off annually.
Access to the Headspace app and Employee Assistance Program.
Retirement savings plan and competitive 401(k) plan with company match.
Tuition reimbursement.
Employee incentive programs and potential annual bonus based on enterprise and individual performance.
Health, dental, vision, disability, and life insurance.
Paid holidays, including two company mental health days off.
Parental leave and sabbatical leave.
Fitness reimbursement.
Flexible Spending and Health Savings Accounts.
Commuter benefits.
Adoption and surrogacy assistance.
Employee Stock Purchase Plan.
Two paid volunteer days off annually.
Optional hospital, accident and sickness insurance, optional life and AD&D insurance, and group legal identity theft protection (employee-paid).
Access to a 529 Plan.
Resources for mental, physical, and financial wellbeing.
Career development and skills-development programming.