Staff Site Reliability Engineer (Copy)
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AI Summary
You will design, build, and maintain highly available and scalable infrastructure on Google Cloud Platform while automating CI/CD pipelines. Additionally, you will lead incident response, optimize system performance, and drive department-wide compliance initiatives.
The Opportunity
We’re looking for a Staff Software Engineer (SRE) to join our Retail and Restaurants AI team. 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 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.
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.
Workplace & Compensation
This role is available throughout Canada.
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.
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