Site Reliability Engineering (SRE) Manager

Reliability & Operational Excellence

• Define and execute SRE strategies that improve system reliability, availability, scalability, and performance.
• Establish and govern Service Level Indicators (SLIs), Service Level Objectives (SLOs), and operational health metrics.
• Lead production readiness reviews, disaster recovery testing, resilience assessments, and operational risk mitigation activities.
• Drive continuous improvement of application stability, service availability, and customer experience.

Incident & Problem Management

• Lead major incident response and escalation management for critical production issues.
• Oversee root cause analysis (RCA) processes and ensure corrective actions are implemented and tracked to completion.
• Drive reduction of recurring incidents through engineering improvements, automation, and proactive monitoring.
• Provide executive-level communication during significant incidents and service disruptions.

Observability & Automation

• Establish monitoring, alerting, logging, tracing, and observability standards across supported platforms.
• Lead implementation of dashboards and operational metrics that provide visibility into service health and customer impact.
• Drive automation initiatives that reduce manual operational effort, improve recovery times, and increase engineering efficiency.
• Promote Infrastructure as Code (IaC), CI/CD integration, automated remediation, and self-service operational capabilities.

Cloud & Platform Reliability

• Partner with Engineering and Infrastructure teams to support cloud-native and hybrid application environments.
• Ensure applications are designed and operated using resilient, scalable, and supportable architectures.
• Support modernization initiatives involving Azure cloud services, containers, APIs, microservices, and platform engineering practices.
• Evaluate vendor platforms and third-party services to ensure reliability and operational readiness.

AI & Modern Operations

• Drive adoption of AI and Generative AI capabilities to improve incident response, troubleshooting, observability, and operational efficiency.
• Identify opportunities for intelligent automation, anomaly detection, automated diagnostics, and AI-assisted knowledge management.
• Promote responsible AI adoption aligned with enterprise security, governance, and risk standards.

People Leadership

• Recruit, develop, coach, and retain high-performing Site Reliability Engineers, Production Engineers, Automation Engineers, and Observability Engineers.
• Establish career paths, skill development plans, and succession strategies.
• Foster a culture of ownership, accountability, innovation, collaboration, and continuous learning.
• Manage staffing, performance management, compensation recommendations, and organizational development activities.

Risk & Governance

• Ensure adherence to enterprise risk, cybersecurity, regulatory, and operational control standards.
• Identify and escalate operational risks impacting critical services or customer experiences.
• Support audits, regulatory reviews, disaster recovery exercises, and operational governance programs.

Scope of Responsibilities

Leads teams responsible for:

• Site Reliability Engineering (SRE)
• Production Support
• Observability Engineering
• Incident Management
• Operational Automation
• Cloud Reliability
• Platform Operations

Responsible for reliability and operational health across multiple applications, platforms, cloud services, and vendor-supported solutions.

Supervisory Responsibilities

Typically manages 10-20 direct and indirect reports including SRE Engineers, Production Engineers, Technical Leads, and Engineering Managers.

• 10+ years of technology experience with application support, infrastructure, cloud, software engineering, or reliability engineering responsibilities.
• 5+ years of leadership experience managing engineering, operations, or SRE teams.
• Experience managing production systems supporting critical business functions.
• Strong knowledge of Site Reliability Engineering principles, including SLOs, observability, automation, incident management, and operational excellence.
• Experience leading major incident response, root cause analysis, and service restoration efforts.
• Experience with cloud platforms, distributed systems, APIs, and modern application architectures.
• Strong communication, analytical, decision-making, and stakeholder management skills., * Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field.
• Experience leading SRE or Production Engineering organizations.
• Experience with Azure cloud technologies and cloud-native architectures.
• Experience with observability platforms such as Dynatrace, Splunk, Datadog, Grafana, Azure Monitor, or OpenTelemetry.
• Experience with scripting and automation technologies including PowerShell, Python, Bash, and APIs.
• Experience with CI/CD, Infrastructure as Code, DevOps, and Platform Engineering practices.
• Experience implementing operational AI use cases including incident analysis, observability analytics, and automated diagnostics.
• Financial services or other highly regulated industry experience preferred.

M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $139,700.00 - $232,900.00 Annual (USD). The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation.

M&T Bank Corporation is an Equal Opportunity/Affirmative Action Employer, including disabilities and veterans.