[Hiring] Senior Site Reliability Engineer @ServiceNow

Role Description

As a Senior Site Reliability Engineer supporting our Canada Protected B regulated cloud environment, you will help ensure the reliability, availability, scalability, security, and performance of critical cloud infrastructure and services.

You will work across the technology stack, including:

• Operating systems
• Cloud infrastructure
• Networking
• Containers
• Databases
• Observability
• Application services

You will independently troubleshoot complex production problems, participate in incident response, identify root causes, and engineer sustainable solutions that prevent recurrence.

A key part of this role is improving the operability of the environment by:

• Eliminating repetitive manual work through automation
• Strengthening monitoring and observability
• Continuously improving service reliability

Qualifications

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
• 5+ years with a Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical field; or 3 years and a Master's degree; or a PhD without experience; or equivalent/relevant engineering work experience.
• Strong production experience administering and troubleshooting Linux operating systems.
• Strong scripting and automation experience using Bash, Python, and/or JavaScript.
• Hands-on experience with cloud infrastructure, with Google Cloud Platform (GCP) preferred.
• Hands-on configuration management and automation experience using Ansible and Puppet.
• Practical experience operating and troubleshooting Kubernetes production environments.
• Strong working knowledge of Git and source-control-based software and infrastructure engineering workflows.
• Strong database administration, performance, and troubleshooting experience, preferably with PostgreSQL; MariaDB/MySQL experience is also applicable.
• Strong networking knowledge, including TCP/IP, DNS, IP addressing, routing, load balancing, connectivity troubleshooting, and network security concepts.
• Experience supporting production services through incident management.
• Experience with monitoring and observability of applications, infrastructure, services, databases, and networks at scale.
• Strong analytical, troubleshooting, written communication, and collaboration skills.

Requirements

• Independently troubleshoot and resolve complex production issues across infrastructure, application, database, network, container, and cloud layers.
• Participate in and lead incident management activities, including diagnosis, mitigation, service recovery, and technical coordination during production incidents.
• Lead or contribute to Root Cause Analysis (RCA) and translate lessons learned into corrective and preventative engineering work.
• Develop sustainable solutions that prevent recurring incidents rather than relying on repeated manual intervention.
• Develop scripts and operational tooling using Bash, Python, and/or JavaScript to automate repetitive activities and improve operational consistency.
• Build and maintain infrastructure and configuration automation using Ansible and Puppet.
• Administer, operate, and troubleshoot Linux-based production systems at scale.
• Work with cloud infrastructure and services, with Google Cloud Platform (GCP) preferred.
• Operate and troubleshoot Kubernetes environments and containerized workloads.
• Administer, troubleshoot, and performance-tune relational database technologies, preferably PostgreSQL; MariaDB/MySQL experience is also applicable.
• Use Git and source-control-based engineering workflows to develop, review, test, and maintain infrastructure and automation code.
• Troubleshoot network-related issues using strong knowledge of TCP/IP, DNS, IP addressing, routing, load balancing, connectivity, and network security concepts.
• Use monitoring, logging, metrics, tracing, and other observability capabilities to identify production problems and improve system reliability.
• Collaborate with application engineering, infrastructure, networking, security, database, and other SRE teams to resolve issues and improve service reliability.
• Identify repetitive operational work and develop automation that reduces toil, improves consistency, and reduces operational risk.
• Participate in design and operational-readiness reviews and identify reliability, supportability, and operational concerns before changes reach production.
• Share technical knowledge, troubleshooting approaches, and operational best practices with other engineers.

Benefits

• Base pay of $102,050 - $152,050, plus equity (when applicable), variable/incentive compensation and benefits.
• Health plans, including flexible spending accounts, ESPP, matching donations, a flexible time away plan, and family leave programs.