Site Reliability Engineering (SRE) Manager (Azure)

Location: Buffalo, New York, United States of America

Salary: $139,700–$232,900 annually

Company

M&T Bank is a financial services organization operating critical business applications, platforms, and cloud services.

What you will do

• Lead SRE, production support, observability engineering, incident management, operational automation, cloud reliability, and platform operations teams.
• Define SRE strategies, SLIs, SLOs, operational health metrics, production readiness reviews, disaster recovery testing, and resilience assessments.
• Lead major incident response, executive communications, root cause analysis, service restoration, and corrective action tracking.
• Establish monitoring, alerting, logging, tracing, dashboards, and observability standards while reducing manual operational effort through automation.
• Partner with engineering and infrastructure teams on Azure, containers, APIs, microservices, hybrid environments, Infrastructure as Code, CI/CD, and platform engineering.
• Drive responsible AI and generative AI adoption for anomaly detection, automated diagnostics, incident response, and operational knowledge management.

Requirements

• 10+ years of technology experience in application support, infrastructure, cloud, software engineering, or reliability engineering.
• 5+ years of leadership experience managing engineering, operations, or SRE teams.
• Experience managing production systems supporting critical business functions and leading major incident response, root cause analysis, and service restoration.
• Strong knowledge of SRE principles, including SLOs, observability, automation, incident management, and operational excellence.
• Experience with cloud platforms, distributed systems, APIs, modern application architectures, and stakeholder management.
• Typically manages 10–20 direct and indirect reports.

Nice to have

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Experience with Azure cloud technologies, cloud-native architectures, and observability platforms such as Dynatrace, Splunk, Datadog, Grafana, Azure Monitor, or OpenTelemetry.
• Experience with PowerShell, Python, Bash, APIs, CI/CD, Infrastructure as Code, DevOps, and platform engineering.
• Experience implementing operational AI use cases and working in financial services or another highly regulated industry.

Culture & Benefits

• Focus on ownership, accountability, innovation, collaboration, and continuous learning.
• Emphasis on reliability, customer experience, risk management, and continuous improvement.
• Market-informed annual compensation range of $139,700–$232,900.