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Google Devops Jobs in Toronto, ON (NOW HIRING)

High 5 Games

DevOps Engineer

Toronto, ON · Remote

... Google Cloud Platform (GCP) environment. You'll work hand-in-hand with data scientists, ML ... DevOps experts to automate workflows, enhance performance, and keep our AI systems running ...

High 5 Games

DevOps Engineer

Toronto, ON · On-site

... Google Cloud Platform (GCP) environment. You'll work hand-in-hand with data scientists, ML ... DevOps experts to automate workflows, enhance performance, and keep our AI systems running ...

Veracity Ventures Inc.

Java Developer 1016

Toronto, ON · On-site

Collaborate with QA, DevOps, Product, and other development teams. Required Skills * 5+ years of ... AWS, Azure, or Google Cloud * Docker and Kubernetes * Kafka or other messaging technologies * NoSQL ...

New

Sync.com

Software Developer

Toronto, ON · On-site

CA$97K - CA$100K/yr

Cloud/DevOps: Docker, Linux, DigitalOcean, CI/CD * Messaging/Real-time: RabbitMQ, WebSockets * Google Cloud Infrastructure * Experience in SaaS development and subscription billing integration ...

Autodesk

Senior Site Reliability Developer

Toronto, ON

CA$107K - CA$157K/yr

... Jira, Google Apigee, ServiceNow, and Splunk Preferred Qualifications * Knowledge in applying AI and ML solutions for engineering processes and/or DevOps automation * Knowledge of standardized ...

Scotiabank

Developer

Toronto, ON · On-site

Google Cloud: Cloud Run, Cloud Functions basics. * Microsoft Azure: App Services, Key Vault basics. * DevOps & CI/CD: Basic knowledge of Git, Jenkins, GitHub Actions. * Security: Awareness of SSL/TLS ...

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Google Devops information

See Toronto, ON salary details

$26.2K

$110.1K

$178.5K

How much do google devops jobs pay per year?

As of Aug 23, 2026, the average yearly pay for google devops in Toronto, ON is $110,113.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,118.00 and $138,856.00 per year, depending on experience, location, and employer.

What is a Google DevOps?

A Google DevOps job involves managing and automating the deployment, monitoring, and scaling of applications and infrastructure on Google Cloud. DevOps engineers at Google work to streamline development workflows, improve system reliability, and implement best practices for CI/CD and site reliability engineering. They collaborate with developers, operations, and security teams to ensure seamless application performance. Strong knowledge of cloud services, automation tools, and programming is essential for this role.

What are some common challenges faced by Google DevOps professionals in their day-to-day work?

Google DevOps professionals often encounter challenges such as maintaining high system reliability during frequent deployments and rapidly evolving infrastructure requirements. Balancing automation with security best practices, managing large-scale cloud resources, and ensuring seamless collaboration between development and operations teams are other common hurdles. Adapting quickly to new tools and processes, and relentlessly troubleshooting complex issues, are essential aspects of the role. Successfully navigating these challenges is key to supporting fast-paced product development while maintaining robust and secure applications.

What are the key skills and qualifications needed to thrive in the Google DevOps position, and why are they important?

To thrive as a Google DevOps professional, you need a solid background in cloud computing, automation, CI/CD pipelines, and infrastructure-as-code, usually backed by a degree in computer science or related certifications like Google Cloud Professional DevOps Engineer. Familiarity with tools such as Kubernetes, Terraform, Docker, and Google Cloud Platform services is essential for managing scalable and reliable systems. Strong collaboration, analytical thinking, and troubleshooting skills help drive cross-functional initiatives and resolve issues efficiently. These skills are crucial to maintaining system reliability, optimizing deployment processes, and supporting high-performing engineering teams.

Does Google hire DevOps?

Google hires DevOps engineers to work on infrastructure, automation, and deployment processes using tools like Kubernetes, Docker, and Google Cloud Platform. These roles typically require experience with cloud services, scripting, and continuous integration/continuous deployment (CI/CD) practices.

What are popular job titles related to Google Devops jobs in Toronto, ON?

For Google Devops jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Google Devops jobs in Toronto, ON look for?

The top searched job categories for Google Devops jobs in Toronto, ON are:

Google Devops jobs near you
Infographic showing various Google Devops job openings in Toronto, ON as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 70% Physical, 6% Hybrid, and 24% Remote job distribution, with an average salary of $110,113 per year, or $52.9 per hour.

DevOps Engineer

High 5 Games

Toronto, ON • Remote

Contractor

Posted 12 days ago

Job description

We’re looking for a DevOps Engineer to help design, build, and optimize the cloud infrastructure powering our machine learning operations. You’ll play a key role in scaling AI models from research to production — ensuring smooth deployments, real-time monitoring, and rock-solid reliability across our Google Cloud Platform (GCP) environment.

You’ll work hand-in-hand with data scientists, ML engineers, and other DevOps experts to automate workflows, enhance performance, and keep our AI systems running seamlessly for millions of players worldwide.

What You’ll Do

  • Manage, configure, and automate cloud infrastructure using tools such as Terraform and Ansible.
  • Implement CI/CD pipelines for ML models and data workflows, focusing on automation, versioning, rollback, and monitoring with tools like Vertex AI, Jenkins, and DataDog.
  • Build and maintain scalable data and feature pipelines for both real-time and batch processing using BigQuery, BigTable, Dataflow, Composer, Pub/Sub, and Cloud Run.
  • Set up infrastructure for model monitoring and observability — detecting drift, bias, and performance issues using Vertex AI Model Monitoring and custom dashboards.
  • Optimize inference performance, improving latency and cost-efficiency of AI workloads.
  • Ensure overall system reliability, scalability, and performance across the ML/Data platform.
  • Define and implement infrastructure best practices for deployment, monitoring, logging, and security.
  • Troubleshoot complex issues affecting ML/Data pipelines and production systems.
  • Ensure compliance with data governance, security, and regulatory standards, especially for real-money gaming environments.

What We’re Looking For

  • 3+ years of experience as a DevOps Engineer, ideally with a focus on ML and Data infrastructure.
  • Strong hands-on experience with Google Cloud Platform (GCP) — especially BigQuery, Dataflow, Vertex AI, Cloud Run, and Pub/Sub.
  • Proficiency with Terraform (and bonus points for Ansible).
  • Solid grasp of containerization (Docker, Kubernetes) and orchestration platforms like GKE.
  • Experience building and maintaining CI/CD pipelines, preferably with Jenkins.
  • Strong understanding of monitoring and logging best practices for cloud and data systems.
  • Scripting experience with Python, Groovy, or Shell.
  • Familiarity with AI orchestration frameworks (LangGraph or LangChain) is a plus.
  • Bonus points if you’ve worked in gaming, real-time fraud detection, or AI-driven personalization systems.