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Google Devops Jobs in Toronto, ON (NOW HIRING)

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 ...

TELUS

Senior Software Developer

Toronto, ON · On-site

... Google Cloud Platform. Embed security, reliability, operational excellence, and cost efficiency as ... As a Software Developer with the AI Accelerator (AIA), your ability to design and build full-stack ...

Manulife

Cloud & Platform Engineer

Toronto, ON · On-site

... DevOps, or infrastructure engineering. * Hands-on experience with a major cloud platform (Microsoft Azure preferred; AWS or Google Cloud experience is also acceptable). * Practical experience with ...

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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 2, 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 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.

Is DevOps dead due to AI?

DevOps professionals continue to play a vital role in automating and managing software deployment, infrastructure, and continuous integration/continuous delivery (CI/CD) pipelines. While AI tools are increasingly used to enhance automation and decision-making, they complement rather than replace the core skills of DevOps engineers, who focus on system reliability, security, and collaboration across teams.

What is the salary of a DevOps engineer in Google?

A DevOps engineer at Google typically earns a salary ranging from $100,000 to $150,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with higher salaries for those with advanced skills in cloud platforms, automation tools, and scripting languages.

Does Google have a DevOps role?

Google offers DevOps roles that focus on automating software development, deployment, and infrastructure management using tools like Kubernetes, Cloud Build, and CI/CD pipelines. These positions typically require skills in cloud computing, scripting, and system administration, and may involve working with Google Cloud Platform services.

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.

What is a Google DevOps job?

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.

Is DevOps still in demand in 2026?

DevOps roles, including positions like Google DevOps, continue to be in high demand due to the ongoing need for automation, cloud integration, and continuous delivery in IT environments. Skills in tools such as Kubernetes, Docker, and cloud platforms like Google Cloud are especially valuable for employers seeking efficient and scalable infrastructure management.
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 July 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $110,113 per year, or $52.9 per hour.

Senior DevOps Engineer

ZoomInfo Technologies LLC

Toronto, ON • On-site

Other

Re-posted 3 days ago

Job description

What You'll do:

  •  Drive initiatives to implement and enforce best practices for data streaming, processing, analytics and monitoring infrastructure.
  • Deploy and manage services on Kubernetes-based platforms such as Amazon EKS and Google Kubernetes Engine (GKE).
  • Provision and manage cloud infrastructure using Terraform, ensuring best practices in security, scalability, and cost-efficiency.
  • Maintain and optimize CI/CD pipelines using Jenkins, ArgoCD, and GitHub Enterprise Actions to support automated deployments and testing.
  • Work with cloud-native data services such as AWS Kinesis, AWS Glue, Google Dataflow, and Google Pub/Sub, BigQuery, BigTable
  • Familiarity with  workflow orchestration services such as Apache Airflow and Google Cloud Composer.
  • Develop and maintain automation scripts and tooling using Python to support DevOps processes.
  • Monitor system performance, troubleshoot issues, and implement proactive solutions to enhance reliability and efficiency.
  • Implement SRE practices to improve service reliability, scalability, and cost-effectiveness.
  • Analyze and optimize cloud costs, identifying areas for improvement and implementing cost-saving strategies.
  • Ensure compliance with security policies and best practices in cloud environments.
  • Drive adoption of company standards and influence data teams to align with best DevOps and SRE practices.
  • Collaborate with cross-functional teams to improve development workflows and infrastructure.

What you bring:

Required Qualifications:

  • 7+ years of experience in a DevOps, Site Reliability Engineering, or Cloud Infrastructure role.
  • Strong experience with AWS and GCP data services, including Kinesis, Glue, Pub/Sub, and Dataflow.
  • Proficiency in deploying and managing workloads on Kubernetes (EKS/GKE) in production environments.
  • Hands-on experience with Infrastructure-as-Code (IaC) using Terraform.
  • Expertise in CI/CD pipeline management using Jenkins, ArgoCD, and GitHub Enterprise Actions.
  • Programming skills in Python for automation and scripting.
  • Experience with observability and monitoring tools (e.g., Prometheus, Grafana, Datadog, or CloudWatch).
  • Strong understanding of SRE principles, including performance monitoring, incident response, and reliability engineering.
  • Experience with cost optimization strategies for cloud infrastructure.
  • Self-motivated and driven, with a strong ability to influence and drive changes across multiple teams.
  • Ability to work collaboratively in an agile environment and support multiple teams.

Preferred Qualifications:

  • Experience with data lake architectures and big data processing frameworks (e.g., Apache Spark, Flink, Snowflake, BigQuery).
  • Familiarity with event-driven architectures and message queues (e.g., Kafka, RabbitMQ).
  • Experience with workflow orchestration tools such as Apache Airflow and Google Cloud Composer.
  • Knowledge of service mesh technologies like Istio.
  • Experience with GitOps workflows and Kubernetes-native tooling.

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