Senior/Lead GCP Platform Engineer

Key Responsibilities

• Design, build, and maintain enterprise-scale cloud platform services on Google Cloud Platform
• Develop reusable platform capabilities, standards, and automation frameworks
• Implement Infrastructure as Code (IaC) using Terraform
• Support cloud governance, IAM, networking, security, and compliance requirements
• Drive platform reliability, scalability, and operational excellence
• Design and implement centralized observability architecture across multiple GCP projects and environments
• Build enterprise monitoring, logging, tracing, and alerting solutions using GCP native and third-party observability tools
• Centralize logs, metrics, traces, dashboards, and alerts across development, test, and production environments
• Define observability standards, SLOs, alerting strategies, and operational runbooks
• Create executive, operational, and application health dashboards
• Establish monitoring coverage for cloud infrastructure
• Develop solutions for automated alert management, reporting, and operational analytics
• Partner with development and operations teams to improve system reliability
• Conduct root cause analysis and incident investigations
• Optimize monitoring coverage while reducing alert fatigue
• Support production operations and platform upgrades
• Drive continuous improvement of operational processes and platform observability

Required Technical Skills

• Google Cloud Platform: Strong hands-on experience with Google Cloud Monitoring and Google Cloud Logging
• Managed Service for Prometheus, Cloud Trace, Cloud Profiler, and Cloud Audit Logs
• Experience with Pub/Sub, Cloud Storage, BigQuery, Cloud Functions, Cloud Run, GKE (Google Kubernetes Engine)
• Experience with IAM, Shared VPC, Organization level monitoring configurations, Observability Platforms
• DevOps Automation, Terraform, Git/GitHub, CI/CD pipelines, Kubernetes
• Experience with one or more: Datadog, Splunk, Dynatrace, Grafana, Prometheus, OpenTelemetry

Required Experience

• 5 years of cloud platform engineering experience
• 3 years of hands-on Google Cloud Platform experience
• 3 years of Python development and automation experience
• Experience implementing centralized observability solutions across multiple cloud accounts/projects
• Experience with enterprise monitoring, logging, alerting, and operational analytics
• Experience supporting Kubernetes-based platforms

Preferred Qualifications

• Experience designing organization-wide observability frameworks
• Experience implementing OpenTelemetry standards
• Knowledge of Site Reliability Engineering (SRE) practices
• Experience with FinOps and cloud cost optimization
• Experience supporting data platforms and AI/ML workloads
• Google Cloud Professional Cloud Architect certification
• Google Cloud Professional DevOps Engineer certification

Key Deliverables

• Enterprise-wide observability architecture across GCP projects
• Centralized monitoring and logging platform
• Automated project onboarding to observability services
• Standardized dashboards, alerts, and operational metrics
• Improved platform reliability and reduced incident response times
• Python-based automation framework for cloud operations

Pay

$105,000 - $115,000

Benefits

• Paid time off based on employee grade (A-F): Vacation 12-25 days depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility