Top DevOps Engineer Jobs in Toronto

Support design, deployment, and maintenance of multiregion/multicloud infrastructure on GCP. Build and operate Kubernetes (GKE) clusters, GitLab CI pipelines, GitOps with ArgoCD, Terraform automation, monitoring, and on-call incident response. Integrate agentic AI workflows, observability tooling, and document runbooks to improve reliability and developer productivity.

The DevOps Engineer will enhance CI/CD workflows, manage AWS infrastructure, automate operations, and improve system reliability and monitoring.

Design and implement enterprise cloud infrastructure across Azure and GCP, build and secure Kubernetes platforms, implement CI/CD and IaC pipelines, automate compliance and cost governance, lead and mentor engineering teams, and drive DevOps culture and observability solutions.

Design, build, and operate resilient, secure, and scalable infrastructure for mission-critical financial platforms. Implement IaC and CI/CD, automation frameworks, observability, incident response, production support, root-cause analysis, and compliance with enterprise/regulatory standards. Collaborate with development, operations, and security teams and participate in on-call rotation.

The role involves enhancing the stability and performance of AI and DevOps platforms, leading design and implementation of infrastructure, managing databases and messaging systems, and driving DevOps practices within the team.

The DevOps Engineer will optimize cloud computing solutions, enhance infrastructure performance, ensure high availability, and manage CI/CD tools while collaborating with development teams.

As a DevOps Engineer, you will create automation for a new managed service product in AWS focusing on GitOps solutions and ArgoCD.

The AWS DevOps Engineer will manage AWS infrastructure, set up Kubernetes, build CI/CD pipelines, and automate deployments while collaborating with the team.

Own reliability, automation, and continuous delivery for the Insight Pension Platform. Build and maintain Azure DevOps CI/CD pipelines, manage 10+ environments, ensure platform security and compliance, respond to incidents, automate manual processes, coordinate releases with teams and vendors, and maintain operational runbooks and documentation while participating in Agile practices.

Maintain and improve CI/CD pipelines, automate infrastructure with Ansible, deploy and support Windows and Linux applications, operate Kubernetes-hosted services, monitor and troubleshoot production incidents, and produce operational documentation and runbooks while collaborating with engineering teams.

Design, provision, and manage cloud infrastructure using IaC (Terraform/Pulumi). Build and optimize Docker containers, CI/CD pipelines, container compute (EKS/GKE/ECS/Fargate/Cloud Run), serverless functions, networking, storage, and databases. Implement cloud security and compliance controls, automate operations with code (Go/Python/Node.js/Bash), and ensure monitoring and high uptime while working independently with cross-functional teams and clients.

Design, build, and operate secure, tenant-isolated cloud infrastructure and CI/CD for an AI-native multi-tenant platform. Implement observability, policy-as-code, SLAs, incident response, and automate provisioning (Terraform/Helm). Support deployment, monitoring, and secure operations for ML/agent systems at scale.

Operate and improve CI/CD pipelines and Jenkins jobs, manage artifact repositories, write automation scripts (Perl), troubleshoot build/dependency/deployment issues, and enhance release reliability, security, and documentation while collaborating with engineering, QA, release, and operations teams.

As an AI/ML DevOps Engineer, you will operationalize AI solutions, build CI/CD pipelines, and ensure production system reliability. Collaborate with data scientists and engineers to deliver AI capabilities and maintain strong operational practices.

Design, build, and maintain CI/CD pipelines, developer platform tooling, and IaC for a large Nx monorepo. Improve release safety, observability, and reliability; support Kubernetes deployments, GitOps flows, and platform security; coach teams on DevOps best practices and developer experience.

The role involves onboarding applications, setting up automated build and testing environments, and advocating for DevOps processes. Requires scripting proficiency.

The DevOps Engineer will onboard applications, set up automated build and testing servers, and maintain non-production environments while promoting DevOps principles.

As a DevOps Engineer, you will maintain and evolve platforms on GKE/GCP, build CI/CD pipelines, manage infrastructure as code, and improve observability. Collaborate with teams on deployments and incident responses, and document processes.

Design, build, and maintain DevOps pipelines and infrastructure for AI and data applications. Implement IaC, manage and upgrade clustered server infrastructure, improve monitoring, integrate enterprise release tools, and troubleshoot platform issues to enable scalable, secure deployments.

Responsible for building robust infrastructure to support a development pipeline, ensuring quality gates are in place, and optimizing tools for efficiency. Requires collaboration with various teams to improve deployment and validation processes.

The role involves creating testnets, maintaining production infrastructure, and monitoring systems to aid developers in decentralized network projects, emphasizing security and innovation.

The DevOps Engineer designs and manages AWS cloud infrastructure, automates operations, develops CI/CD pipelines, and ensures robust monitoring and observability.

The Senior Infrastructure/DevOps Engineer will design, implement, and manage cloud infrastructures using tools like Docker and Terraform, ensuring security and automation.

As a DevOps Engineer, you'll automate backend infrastructure, streamline deployments, manage cloud services, and enforce security best practices for scalable and reliable systems.

The DevOps Engineer - Mobile will design and maintain CI/CD pipelines for iOS and Android apps, automate workflows, manage cloud infrastructure, and enforce security best practices.