Manager, Site Reliability Engineering (SRE)

Thomson Reuters•Eagan, MN

4d•$110,000 - $204,200•Hybrid

About The Position

As a Site Reliability Engineering Manager, you will lead a team of SREs responsible for the availability, reliability, and performance of the company’s products. The role combines technical depth, hands-on use of AI, and people leadership. You will own the team’s contribution to availability targets, lead incident and problem management, and build telemetry and processes that keep services measurably healthy. You will serve as the escalation point for urgent customer issues and connect engineering, operations, and senior leadership. The role calls for experience in service management, cloud providers, software development, and technology infrastructure. You will set reliability, scalability, and performance practices; identify and mitigate service risks; and determine how AI and machine learning can improve reliability, reduce cost, and lower risk. You will promote DevOps and SRE practices throughout the software development lifecycle, champion automation and tooling to reduce manual work, and lead incident response and durable improvement efforts. You will also hire, develop, organize, and equip the team, provide technical guidance and coaching, and foster a collaborative culture of continuous learning and responsible AI adoption.

Requirements

Bachelor's degree or equivalent experience.
5+ years of experience in a leadership role managing a team of DevOps engineers, Site Reliability Engineers, or related technical professionals.
5+ years of relevant experience in software development and/or technology platform, infrastructure, or operations.
Ability to set direction and inspire team members to engage 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 resolving 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 experience with programming and scripting 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 in a fast-paced environment and motivation from complex technical and business challenges.

Nice To Haves

A Computer Science or related technical degree.
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.

Responsibilities

Drive best practices for reliability, scalability, and performance across systems and services, ensuring sustainable improvements rather than only reactive support.
Identify risks to service reliability early and develop mitigation strategies to ensure business continuity and resilience.
Identify opportunities for AI and machine learning tools 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 the team through incident and problem management processes, using AI-assisted tooling to speed up triage and root cause analysis.
Communicate major incidents, root causes, and corrective actions to senior leadership.
Turn incident learnings into durable improvement actions that prevent repeat events.
Lead and mentor a team of SREs, providing technical guidance, coaching, and support that foster collaboration, innovation, and continuous improvement.
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, and encourage responsible adoption of AI tools.

Benefits

Flexible hybrid work environment for office-based roles.
Work from anywhere for up to 8 weeks per year.
Flexible vacation.
Two company-wide Mental Health Days off.
Access to the Headspace app.
Retirement savings plan with company match.
Tuition reimbursement.
Employee incentive programs and possible annual bonus based on enterprise and individual performance.
Resources for mental, physical, and financial wellbeing.
Two paid volunteer days off annually.
Health, dental, vision, disability, and life insurance.
Paid holidays, sick and safe paid time off, parental leave, and sabbatical leave.
Optional hospital, accident, and sickness insurance.
Optional life and AD&D insurance.
Flexible Spending and Health Savings Accounts.
Fitness reimbursement.
Employee Assistance Program.
Group Legal Identity Theft Protection benefit.
Access to a 529 Plan.
Commuter benefits.
Adoption and Surrogacy Assistance.
Employee Stock Purchase Plan.