Staff Site Reliability Engineer, Canada Protected B

Job Description

Role Overview:

As a Staff Site Reliability Engineer supporting our Canada Protected B regulated cloud environment, you will provide senior technical leadership for the reliability, availability, scalability, security, and performance of critical cloud infrastructure and services.

In addition to personally solving complex production problems, you will provide technical leadership across systems, services, and engineering teams. You will take ownership of ambiguous, multi-system reliability problems, influence technical architecture and operational standards, lead significant engineering and automation initiatives, and help other engineers solve difficult problems.

The Staff Site Reliability Engineer is an individual-contributor technical leadership role. Success is measured not only by the problems you personally solve, but by your ability to improve the reliability and operability of the broader environment, influence technical direction, reduce systemic operational risk, and increase the effectiveness of other engineers and partner teams.

Canada Protected B Eligibility:

Due to Government of Canada regulatory requirements, this position requires the successful completion of a Government of Canada Reliability Status screening as a condition of employment. The screening process requires 5 years of verifiable background history. This includes identity verification, education verification, a criminal record check, and a credit check. Candidates must be eligible to obtain and maintain Reliability Status, which generally requires Canadian citizenship or Canadian permanent resident status. Employment is contingent upon successful completion and maintenance of the required screening.

Work Schedule:

This position is part of a shift-based Site Reliability Engineering operation supporting the Canada Protected B regulated environment. The initial operating model provides continuous 24x5 coverage through fixed day, swing, and overnight shifts, Monday through Friday.

Each shift includes eight hours of scheduled work and a one-hour unpaid meal period. Adjacent shifts overlap by one hour to support structured warm handovers and continuity of active incident response.

• Day Shift: 7:00 AM - 4:00 PM ET
• Swing Shift: 3:00 PM - 12:00 AM ET
• Overnight Shift: 11:00 PM - 8:00 AM ET

Engineers will participate in an on-call rotation that may include nights, weekends, and holidays. As operational requirements evolve, schedules may change to include alternative workweeks, regular weekend coverage, or other day, swing, and overnight assignments. Meal periods will be scheduled outside the warm-handover window and coordinated to maintain operational coverage.

What you get to do in this role:

• Provide technical leadership during complex, high-impact production incidents spanning multiple services, systems, or technology domains.
• Lead technical Root Cause Analysis (RCA) for significant or complex incidents and drive systemic corrective and preventative actions across services and teams.
• Identify recurring and systemic reliability risks and lead engineering initiatives that address their underlying technical causes.
• Lead cross-functional reliability initiatives involving SRE, application engineering, infrastructure, networking, database, cloud, and security teams.
• Influence technical architecture and engineering approaches for reliability, scalability, automation, observability, operational readiness, and production supportability.
• Design and lead automation initiatives that eliminate significant sources of operational toil and create scalable, reusable solutions across services or environments.
• Develop and guide operational tooling and automation using Bash, Python, and/or JavaScript, including reusable tools and frameworks that improve the effectiveness of other engineers.
• Provide deep technical leadership across Linux, Google Cloud Platform, Kubernetes, networking, databases, configuration management, and distributed production systems.
• Design and improve infrastructure and configuration automation using Ansible and Puppet, scripting, APIs, and related infrastructure-management technologies.
• Lead the operation, troubleshooting, and reliability improvement of Kubernetes and containerized production environments.
• Lead complex database troubleshooting, performance, and reliability improvements, particularly for PostgreSQL environments; MariaDB/MySQL experience is also applicable.
• Establish and promote effective Git-based engineering practices for infrastructure, configuration, and automation code.
• Diagnose complex network and distributed-system issues involving TCP/IP, DNS, IP addressing, routing, load balancing, connectivity, and network security technologies.
• Drive improvements to monitoring, observability, service health, and operational readiness across multiple systems and services.
• Evaluate proposed technical designs for reliability, scalability, failure modes, and operational risks and influence engineering decisions before systems reach production.
• Establish, improve, and promote SRE engineering practices and operational standards across teams.
• Mentor engineers through technical problem solving, incident response, design reviews, automation, troubleshooting, and reliability engineering practices.
• Communicate complex technical issues, engineering decisions, systemic risks, and recommendations clearly to engineering teams, stakeholders, and leadership.

Qualifications

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
• 8+ years Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or a related technical field; or 6 years and a Master's degree; or a PhD with 3 years experience; or equivalent/relevant engineering work experience, with demonstrated ability to independently own and resolve complex production and reliability problems.
• Extensive experience administering, troubleshooting, and engineering Linux-based production environments at scale.
• Advanced scripting and automation experience using Bash, Python, and/or JavaScript, including designing reusable automation and engineering solutions leveraged by other engineers or teams.
• Significant experience engineering and operating cloud infrastructure, with Google Cloud Platform (GCP) preferred.
• Strong hands-on experience designing and implementing infrastructure and configuration management automation using Ansible and Puppet.
• Strong experience operating, troubleshooting, designing, and improving Kubernetes and containerized production environments.
• Strong command of Git-based engineering workflows, including source-controlled infrastructure, configuration, and automation.
• Deep database administration, performance, and troubleshooting experience, preferably with PostgreSQL; MariaDB/MySQL expertise is also applicable.
• Advanced networking knowledge, including TCP/IP, DNS, IP addressing, routing, load balancing, connectivity troubleshooting, and network security concepts.
• Significant experience leading major incident management and Root Cause Analysis, including driving systemic corrective actions and preventative engineering work.
• Deep experience with monitoring and observability across applications, services, infrastructure, databases, and networks.
• Demonstrated ability to lead complex technical initiatives spanning multiple systems, technology domains, or engineering teams.
• Demonstrated ability to solve ambiguous, cross-domain technical problems where the solution is not already defined.

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