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Staff Site Reliability Engineer

RemoteCanada only
Published
Role
SRE
Experience
Staff
Employment
Full-time
Company size
Enterprise
Salary not disclosed
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Open to CA only. Set where you work from to check your eligibility.

No BS summary

Staff SRE for a Canada-based remote role focused on GCP data infrastructure, Terraform IaC, ML/AI platform tooling, Looker/BigQuery, observability, and CI/CD. Needs strong technical leadership, mentoring, security mindset, and ability to communicate infrastructure tradeoffs across technical and non-technical teams.

Core skills

GCPTerraformVertex AI

Required skills

IAMGKELookerBashGoSLO/SLIDataDogGitHub ActionsCircleCIGCP Cloud Build

Optional skills

Python

What you'll do

  • Advance infrastructure engineering practices for the Data Office and deliver high-impact platform projects.
  • Design and implement major infrastructure improvements.
  • Write production-quality infrastructure as code with Terraform.
  • Drive solutions from design through delivery.
  • Intervene on the most complex platform challenges.
  • Support data infrastructure for batch and streaming workloads.
  • Support ML/AI environments including Vertex AI, model serving, and GPU-optimized compute.
  • Support the BI service layer including Looker infrastructure and GCP integration.
  • Lead architecture and design discussions for large cross-functional projects.
  • Review critical requests.
  • Facilitate solution design sessions.
  • Provide technical direction that keeps the team aligned and moving forward.
  • Lead exchanges during agile ceremonies, incident reviews, and cross-functional sync meetings.
  • Actively mentor senior and intermediate SRE staff.
  • Set standards for IaC quality, observability practices, and operational discipline through reviews, pairing, and documentation.
  • Proactively identify risks related to complex data migrations or infrastructure changes.
  • Propose mitigation strategies to ensure zero data loss and minimal downtime.
  • Participate in on-call rotation and incident response.
  • Contribute to broader organizational goals, including tasks outside the strict scope of the role.

What they require

  • Deep expertise in GCP compute, networking, IAM, GKE, GCP data services, and FinOps.
  • Mastery of infrastructure as code, with Terraform as the primary tool.
  • Hands-on experience with Looker infrastructure and ML/AI platform tools such as Vertex AI, model serving, and training pipelines.
  • Proficiency in Bash and Golang.
  • Strong experience with metrics, logs, traces, alerts, and SLO/SLI design, DataDog, etc.
  • Product culture: focus on platform usability, not only availability.
  • Experience with GitHub Actions, CircleCI, GCP Cloud Build, etc.
  • Ability to communicate infrastructure tradeoffs to engineering teams and non-technical stakeholders.
  • AI competence: act as a key AI reference within the Data business unit, evaluate tools, and promote AI-focused development practices across teams.
  • Security-first mindset: evaluate every design decision through security and compliance lenses.
  • Self-awareness and willingness to learn and improve.
  • Ability to mentor and train other engineers on the team.
  • Candidates must disclose any criminal convictions and undergo a criminal background check as part of the hiring process.

Benefits

  • Flexible work environment.
  • Performance-celebrating culture.
  • Opportunity to have impact within a team large enough for professional growth and agile enough for your voice to be heard.
  • Career-shaping opportunities.
  • Flexible paid time off.
  • Remote work policies.
  • Stock purchase options.
  • Retirement plan contributions.
  • Training opportunities to develop skills and career.
  • Health and wellness allowance.
  • Volunteer leave to get involved in the community.
  • Employee interest groups and sponsored sports teams.
  • Computer purchase program to acquire a personal MacBook.
  • Enhanced parental leave.
  • Continuous learning opportunities.
  • International mobility.
  • Benefits designed to support employees.
  • Motivated, diverse, and inclusive team.

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What people say about this company

3.3/ 5

Details

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Salary not disclosed