Site Reliability Consultant

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Site Reliability Consultant based in Canada.

This role sits at the intersection of cloud infrastructure, software reliability, and large-scale distributed systems engineering. You will be responsible for designing, operating, and continuously improving highly available platforms that support critical workloads across cloud-native environments. The position involves deep hands-on work with Kubernetes, observability tooling, and automation frameworks to ensure systems remain resilient, scalable, and performant. You will collaborate closely with engineering, data, and AI/ML teams to enable reliable infrastructure for complex workloads. This is a highly technical and impact-driven role where your work directly influences system uptime, performance, and engineering efficiency. You will also contribute to incident response, root cause analysis, and long-term reliability improvements across global systems.

This role is responsible for ensuring the reliability, scalability, and performance of distributed systems and cloud infrastructure across production environments.

• Operate, optimize, and troubleshoot Kubernetes clusters, service mesh environments (Istio), and Linux-based systems.
• Design and implement automation using Go, Python, and Shell scripting to reduce manual operational workload.
• Build and maintain observability stacks using tools such as Prometheus, Grafana, and Loki for monitoring and alerting.
• Diagnose and resolve complex issues across networking, storage, compute, and application performance layers.
• Support AI/ML workloads by ensuring infrastructure readiness for training pipelines and data-intensive processing.
• Participate in on-call rotations, incident response, and postmortem analysis to improve system reliability.
• Collaborate with engineering teams to implement infrastructure-as-code practices using Terraform and cloud-native tools.

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Requirements:

The ideal candidate has strong Site Reliability Engineering experience with deep expertise in cloud-native infrastructure, automation, and distributed systems.

• 5+ years of experience in Site Reliability Engineering, DevOps, or infrastructure engineering roles.
• Strong hands-on experience with Google Cloud Platform and Infrastructure-as-Code tools such as Terraform.
• Deep understanding of Kubernetes, Docker, microservices architectures, and service mesh concepts.
• Strong Linux systems administration skills with experience in networking, PKI, and distributed system troubleshooting.
• Proficiency in scripting and automation using Python, Shell, and ideally Go.
• Experience building and maintaining observability and monitoring systems in production environments.
• Strong incident management experience, including root cause analysis and postmortem practices.
• Solid understanding of scalability, reliability engineering principles, and automation-first thinking.
• Strong communication and collaboration skills in cross-functional engineering environments.

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Benefits:

• Competitive compensation package aligned with market standards (CAD 90,000 – 100,000 per year)
• Fully remote-friendly work environment with flexibility and autonomy
• Generous paid time off, including vacation days, sick leave, and volunteer days
• Annual wellness budget supporting health, fitness, and personal well-being
• Home office support with equipment and workspace personalization allowance
• Strong learning and development support, including training, certifications, and professional growth opportunities
• Collaborative engineering culture working alongside highly skilled global teams
• Opportunities to work on cutting-edge cloud, AI, and distributed systems infrastructure