People Culture Talent

Senior Platform Engineer

People Culture Talent

full-time

Posted on:

Origin:  • 🇨🇦 Canada

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Job Level

Senior

Tech Stack

AWSAzureBigQueryCloudDistributed SystemsDockerGoGoogle Cloud PlatformGrafanaJavaKubernetesPrometheusPythonSQLTerraform

About the role

  • Senior Platform Engineer role at an AI-powered automation platform transforming revenue teams; influence platform architecture and developer workflows.
  • Architect scalable, resilient, and cost-efficient platform infrastructure.
  • Design systems for large-scale distributed workloads with high reliability.
  • Establish best practices for observability, monitoring, and incident response.
  • Lead design, provisioning, and management of infrastructure in Google Cloud Platform (GKE, Cloud Run, Pub/Sub, BigQuery, Cloud SQL).
  • Implement infrastructure as code (Terraform, Pulumi, or equivalent).
  • Build and maintain automated CI/CD pipelines and improve developer productivity through tooling and automation.
  • Champion continuous improvement and reliability in operations.
  • Partner with product engineering teams, mentor junior and mid-level engineers, and contribute to technical roadmaps.

Requirements

  • 6+ years in platform engineering, DevOps, or related fields, with at least 2 years in a senior/lead role.
  • Strong background in designing distributed systems, service-oriented architectures, and infrastructure platforms.
  • Deep hands-on expertise with Google Cloud Platform (GCP); experience with AWS/Azure is a plus.
  • Strong experience with Kubernetes, Docker, Terraform (or similar), and CI/CD tools (GitHub Actions, GitLab CI, CircleCI, etc.).
  • Proficiency in one or more languages (Go, Python, Java, etc.) for automation and tooling.
  • Excellent communication skills and ability to work cross-functionally.
  • Growth-oriented, pragmatic problem solver who thrives in fast-paced environments.
  • (Nice to have) Experience with service mesh and observability stacks (Prometheus, Grafana, OpenTelemetry).
  • (Nice to have) Familiarity with data engineering workflows and event-driven systems.
  • (Nice to have) Prior experience mentoring teams or leading infrastructure initiatives.