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Mid Level Cloud Operations Engineer Jobs in Toronto, ON

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 ...

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 ...

... Level 3 support for developed Cloud Services. * You can develop & document operational procedures ... Self-sufficient, works under the supervision of a more senior engineer. * Strong communication ...

Maintaining, managing, and scaling cloud and container infrastructure for existing and new services, with a strong focus on security, reliability, and operational excellence. * Designing, building ...

Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem ... Evangelize DevOps culture across the organization, providing training and support to teams on best ...

Join Capco to help transform enterprise data and analytics through cloud-native engineering and continuous delivery. The Role We're seeking a DevOps Engineer with strong Azure cloud and DevOps ...

Our team is looking for a DevOps engineer with at least 6 years cloud and Kubernetes experience including specialization in ArgoCD. Our project involves building automations for a greenfield managed ...

25-026 DevOps Engineer

Toronto, ON · Remote

CA$80 - CA$100/hr

Number of Vacancies: 1 Level: MP4 Hourly Rate: $80 - 100/hour Duration: 10 Months Hours of work: 35 ... The ideal candidate will bring expertise in cloud-based DevOps, data pipeline automation, and ...

Senior DevOps Engineer

Toronto, ON · On-site

CA$150K - CA$180K/yr

... level IAM governance (least privilege, Verified Permissions, SSO) * Continuously evolve cloud ... s Engineer Professional) * Hands-on Datadog experience * Experience leading FinOps programs

DevOps Cloud Engineer

Toronto, ON · On-site

CA$86K - CA$118K/yr

As a DevOps Cloud Engineeryou'llplay a critical role in designing, automating, andoperatingthe cloud infrastructure that powers Nasdaq's global solutions and enables seamless software delivery at ...

Developer, Dev-Ops Engineering

Mississauga, ON · Remote

CA$109K - CA$164K/yr

... s Engineer (Mid-Level) plays a hands-on role in building and operating SCIA's automation platform ... , cloud engineering, or infrastructure automation roles - Hands-on experience deploying and ...

DevOps Cloud Engineer

Toronto, ON · Hybrid

CA$86K - CA$118K/yr

As a DevOps CloudEngineeryou'llplay a critical role in designing, automating, andoperatingthe cloud infrastructure that powers Nasdaq's global solutions and enables seamless software delivery at ...

The Senior DevOps Engineer is the architect of our cloud-native ecosystem. This role focuses on ... Partners with product and engineering teams to define meaningful Service Level Indicators (SLIs ...

Showing results 21-40

Mid Level Cloud Operations Engineer information

What is the difference between Mid Level Cloud Operations Engineer vs Cloud Support Engineer?

AspectMid Level Cloud Operations EngineerCloud Support Engineer
Required CredentialsCertifications like AWS Certified Solutions Architect, Azure AdministratorSimilar certifications, often including vendor-specific ones
Work EnvironmentHands-on management of cloud infrastructure, deployment, monitoringCustomer support, troubleshooting, issue resolution
Employer & Industry UsageTech companies, cloud service providers, enterprisesCloud service providers, IT support firms, SaaS companies

The Mid Level Cloud Operations Engineer focuses on managing and maintaining cloud infrastructure, while the Cloud Support Engineer primarily handles troubleshooting and customer support. Both roles require similar certifications and are common in cloud-centric industries, but their daily responsibilities differ significantly.

What are the most commonly searched types of Cloud Operations Engineer jobs in Toronto, ON?

The most popular types of Cloud Operations Engineer jobs in Toronto, ON are:

What are popular job titles related to Mid Level Cloud Operations Engineer jobs in Toronto, ON?

For Mid Level Cloud Operations Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Mid Level Cloud Operations Engineer jobs in Toronto, ON look for?

The top searched job categories for Mid Level Cloud Operations Engineer jobs in Toronto, ON are:

Infographic showing various Mid Level Cloud Operations Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 73% In-person, and 27% Remote job distribution.

DevOps Engineer

High 5 Games

Toronto, ON • On-site

Contractor

Re-posted yesterday


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 asTerraformandAnsible.
  • ImplementCI/CD pipelinesfor ML models and data workflows, focusing on automation, versioning, rollback, and monitoring with tools likeVertex AI,Jenkins, andDataDog.
  • Build and maintain scalabledata and feature pipelinesfor both real-time and batch processing usingBigQuery,BigTable,Dataflow,Composer,Pub/Sub, andCloud Run.
  • Set up infrastructure formodel monitoringand observability - detecting drift, bias, and performance issues usingVertex AI Model Monitoringand custom dashboards.
  • Optimizeinference performance, improving latency and cost-efficiency of AI workloads.
  • Ensure overallsystem reliability, scalability, and performanceacross the ML/Data platform.
  • Define and implementinfrastructure best practicesfor deployment, monitoring, logging, and security.
  • Troubleshoot complex issues affecting ML/Data pipelines and production systems.
  • Ensure compliance withdata governance, security, and regulatory standards, especially for real-money gaming environments.

What We're Looking For

  • 3+ yearsof experience as a DevOps Engineer, ideally with a focus on ML and Data infrastructure.
  • Strong hands-on experience withGoogle Cloud Platform (GCP)- especiallyBigQuery,Dataflow,Vertex AI,Cloud Run, andPub/Sub.
  • Proficiency withTerraform(and bonus points forAnsible).
  • Solid grasp ofcontainerization(Docker, Kubernetes) and orchestration platforms likeGKE.
  • Experience building and maintainingCI/CD pipelines, preferably withJenkins.
  • Strong understanding ofmonitoring and logging best practicesfor cloud and data systems.
  • Scripting experience withPython,Groovy, orShell.
  • Familiarity withAI orchestration frameworks(LangGraph or LangChain) is a plus.
  • Bonus points if you've worked ingaming,real-time fraud detection, orAI-driven personalization systems.