Staff Site Reliability Engineer Toronto, Canada (remote) •

Das ist der Job

Workplace & Compensation This role is available throughout Canada.

Darum lohnt es sich

The Opportunity We’re looking for a Staff Software Engineer (SRE) to join our Retail and Restaurants AI team.

What You’ll Do • Design, build, and maintain highly available and scalable infrastructure on Google Cloud Platform. • Architect and automate CI/CD pipelines to ensure rapid, reliable deployments. • Implement robust monitoring, alerting, and observability strategies to proactively identify and resolve system issues. • Partner with engineering teams to optimize performance, cost, and reliability of backend services. • Drive incident response, post-mortem analysis, and long-term remediation efforts. • Identify and eliminate sources of toil, promoting operational maturity and self-service capabilities. • Collaborate with cross-functional teams to ensure alignment on infrastructure roadmaps and security standards. • Lead department wide compliance (PCI, SOC) initiatives.

Compensation includes salary, equity, comprehensive healthcare, paid time off, and other benefits.

Our recruiting team will provide a specific salary range based on location and years of experience. #LI-MQ1 #LI-REMOTE You will be responsible for the reliability, scalability, and performance of our infrastructure, with a deep focus on Google Cloud Platform (GCP).

You will architect and maintain high-availability systems, automate operational tasks, and ensure our services can handle the demands of millions of voice AI interactions.

What You’ll Bring • 12+ years of software engineering experience, with significant experience in Site Reliability Engineering or DevOps roles. • Expert-level experience with Google Cloud Platform (GCP) services (e.g., GKE, Compute Engine, Cloud Run, Pub/Sub). • Proficient in Infrastructure as Code (IaC) tools like Terraform or Pulumi. • Deep experience with Kubernetes, container orchestration, and service mesh architectures. • Strong background in monitoring and observability tools (e.g., Datadog, Prometheus, Grafana, Cloud Monitoring). • Experience designing and managing high-throughput, distributed systems. • Strong problem-solving skills and a growth mindset—comfortable with ambiguity and making high-stakes technical trade-offs. • Excellent communication skills and a demonstrated ability to mentor engineers.

Preferred Qualifications • Experience working in a high-velocity, customer-focused environment. • Familiarity with functional programming paradigms (e.g., Clojure/ClojureScript). • Prior experience in the restaurant technology, hospitality, or AI-driven SaaS space. • Experience implementing security and compliance best practices in the cloud.