Browse remote GCP roles that accept candidates based in Canada.
This page focuses on remote roles that list Canada as an accepted candidate location. That matters because many remote jobs still restrict applications by country, timezone, payroll, legal entity, or hiring policy.
Use GCP as a stack filter without changing the original role titles, comparing seniority, accepted countries, and application readiness before opening the full role page.
MongoDB · Site Reliability Engineering
Help lead the design and deployment of security solutions for cloud platforms (AWS, Azure, GCP), including network and compute security, identity management, and cloud security posture management (CSPM)
MongoDB · Site Reliability Engineering
Have 6+ years of experience in software development and operating distributed systems
MongoDB · Site Reliability Engineering
Have 6+ years of experience in software development and operating distributed systems
MongoDB · Site Reliability Engineering
Have 5+ years of experience running critical systems at scale
MongoDB · Site Reliability Engineering
Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g.
MongoDB · Site Reliability Engineering
Have 10+ years of experience working on software and operating distributed systems, with deep expertise in networking fundamentals and a good understanding of how the internet works, e.g.
MongoDB · Site Reliability Engineering
Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
MongoDB · Site Reliability Engineering
Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
MongoDB · Site Reliability Engineering
Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
MongoDB · Cloud Operations
Successfully coordinate with a global team of Cloud Operations Engineers who are tasked with ensuring our uptime guarantees to our Atlas customer base
Datadog · Channels & Alliances
Ensure the successful onboarding, training, enablement, and certification of partner technical resources
Datadog · Channels & Alliances
Ensure the successful onboarding, training, enablement, and certification of partner technical resources
Datadog · Channels & Alliances
Ensure the successful onboarding, training, enablement, and certification of partner technical resources
Canonical · Alliances
Collaborating with product, engineering, and alliance teams at public cloud partners to align on open-source strategies.
CONFISA INTERNATIONAL GROUP · Developer
Job Title: Senior Platform Engineer
Zencoder
Owning our Kubernetes foundations: building and operating production GKE clusters with reliable networking, ingress, service-to-service communication, workload isolation, autoscaling and deployment patterns.
Lemon.io · Development
The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.
Cision · Developer
Lead and contribute to a team of DevOps/SRE engineers focused on Observability (monitoring, logging, alerting) and Developer Experience (CI/CD pipelines, internal developer tools).
Brandwatch · Developer
Lead and contribute to a team of DevOps/SRE engineers focused on Observability (monitoring, logging, alerting) and Developer Experience (CI/CD pipelines, internal developer tools).
8allocate · Developer
Designing and implementing standards for cloud-based infrastructure
Varicent · Developer
Innovate with Purpose: Build impactful solutions for customers worldwide.
Unifonic · Developer
Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
PlexTrac
Cloud & Infrastructure Security - Write and maintain Infrastructure as Code (IaC) with secure defaults, ensuring least privilege access and robust cloud configurations.
Fusemachines
Convert data science prototypes (propensity, lookalike, segmentation, fusion) into reproducible, production-quality ML services.
Start with a keyword, then narrow by stack or candidate location.