Top DevOps Engineer Jobs in Toronto

Designs enterprise cloud architecture and infrastructure across Azure and GCP, leads Kubernetes platform engineering, builds CI/CD and infrastructure-as-code automation, and implements security, compliance, observability, and zero-trust practices. The role also leads cloud migrations, develops self-service platforms, drives DevOps transformation, mentors engineering teams, and oversees architecture reviews and technology roadmaps.

The DevOps Engineer develops and maintains cloud-based deployment and environment integration capabilities. Responsibilities include automating tools and products, creating Terraform and Ansible deployment scripts, supporting CI/CD pipelines with GitHub Actions, managing AWS infrastructure, implementing DevSecOps and cloud security practices, and enabling environment versioning, application deployment, and testing. The role also contributes to feasibility studies, technology monitoring, software lifecycle activities, and cross-functional technical guidelines.

Build and operate secure, scalable cloud infrastructure; manage Terraform infrastructure as code, CI/CD pipelines, monitoring, alerting, automation, and security controls. The role requires AWS or other cloud expertise, container orchestration, programming ability, networking knowledge, and participation in daytime on-call rotations.

Leads technical direction for GitLab’s Core DevOps services, covering CI, CD, planning, and source control. Defines architecture, quality metrics, migration strategies, and technical roadmaps; addresses systemic risk and complex design decisions; prototypes and writes code when needed; partners with Infrastructure, Security, SRE, and Product; adopts AI capabilities; mentors senior engineers; supports incident response and senior technical hiring.

Designs, builds, and maintains DevOps pipelines and infrastructure supporting AI and data applications in investment banking and global markets. Responsibilities include infrastructure as code, cloud and Kubernetes platform management, server cluster maintenance, monitoring, troubleshooting, application release integration, and automation. The role requires experience with cloud platforms, containerization, CI/CD, security protocols, observability tools, and programming in Python, Go, and Bash.

Design, automate, and maintain scalable, secure cloud infrastructure and CI/CD pipelines. Monitor system reliability and performance, respond to incidents, conduct postmortems, enforce SLAs, plan capacity, optimize costs, and implement security and compliance practices. Collaborate with Engineering, Product, and Design teams to resolve scalability and development lifecycle challenges while driving continuous operational improvement.

Build and maintain production systems, engineering tools, CI/CD and release automation, testing infrastructure, and foundational engineering platforms. Investigate scalability bottlenecks and production incidents, automate system administration and integrations, and collaborate with QA and development teams. Provide mentorship, share knowledge, capture requirements, and improve engineering processes across the company.

Leads cross-team backend initiatives and technical architecture for GitLab’s Core DevOps platform. Responsibilities include modernizing a monolith, establishing service, API, data, security, testing, and observability standards, guiding Go and Kubernetes practices, supporting Rust adoption, participating in incident response, mentoring engineers, reducing technical debt, and advancing AI-assisted engineering workflows.

Establishes and operates AWS development, test, and production environments for a bilingual digital platform. Responsibilities include infrastructure automation, secure access, CI/CD, monitoring, logging, backups, recovery testing, deployment rollback, performance optimization, cloud-cost management, secrets handling, operational runbooks, and knowledge transfer. The role requires collaborative technical delivery, clear documentation, and availability during standard Eastern Time business hours.

Manage and optimize multi-cloud infrastructure across Azure and AWS, including containerized services, databases, gateways, monitoring, and serverless systems. Build CI/CD pipelines and infrastructure-as-code automation using Terraform and CDK. Improve platform performance, scalability, observability, security, compliance, and cost efficiency. Collaborate with Development and QA on automated testing and deployments, respond to incidents, and advance AI-enabled operational practices such as AIOps and agentic SDLC workflows.

Lead the design, operation, and continuous improvement of cloud infrastructure, CI/CD pipelines, Kubernetes platforms, observability, AI workloads, and operational tooling. Own reliability, incident response, security controls, compliance evidence, disaster recovery, and environment lifecycle management. Mentor DevOps engineers, establish operational standards, automate repetitive work, coordinate vendors, and partner with engineering, QA, service management, and delivery teams to improve deployment safety, system performance, and operational maturity.

Build, execute, and maintain CI/CD and service pipelines; support Azure deployments, source-control workflows, SQL database changes, and application delivery. Collaborate with engineering and QA teams on build and deployment tasks, participate in SAFe Agile ceremonies, and incrementally improve infrastructure and delivery processes using automation and AI coding tools.

Support C# and .NET applications hosted on AWS by troubleshooting production issues, delivering enhancements, managing CI/CD pipelines with GitHub Actions, overseeing deployments, renewing SSL/TLS certificates, maintaining operational stability, and implementing cloud cost-optimization initiatives.

Maintain and scale cloud and container infrastructure, build automation for deployments, monitoring, recovery, and scaling, and support migration of legacy apps to container platforms. Troubleshoot performance and deployment issues, partner with cross-functional teams to improve reliability, security, and operational efficiency, and apply best practices in observability and automation.

Leads enterprise DevOps and cloud infrastructure strategy, building CI/CD pipelines, Infrastructure as Code, automation, observability, and secure software delivery platforms. Partners with engineering, quality, and product teams across development through production environments. Supports disaster recovery, security-by-design, reliability testing, troubleshooting, and operational improvements. Mentors engineers and drives DevSecOps, SRE, and platform engineering maturity across a global organization.

Develop and maintain Golang microservices, APIs, event-driven systems, and database solutions using PostgreSQL and TimescaleDB. Standardize architecture, optimize schemas and queries, and support migration to Protobuf. Manage production deployments, cloud infrastructure, monitoring, secure VPNs, Docker, Kubernetes, GCP, and Cloudflare. Automate CI/CD pipelines and improve the reliability, scalability, security, and cost efficiency of engineering systems.

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.

Lead design and operation of scalable AWS/GCP cloud infrastructure. Build and operate Kubernetes (EKS), Docker, Terraform/Terragrunt, Helm and GitOps workflows. Improve CI/CD with GitHub Actions and ArgoCD, implement monitoring and observability, strengthen security, disaster recovery, and developer self-service automation to improve platform reliability and productivity.

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

Build and operate GCP and on-premises infrastructure supporting high-throughput crawling, search, queues, databases, and ML workloads. Manage Kubernetes clusters, CI/CD, infrastructure as code, observability, enterprise security controls, reliability targets, cost optimization, and incident response. Partner with product and search engineering teams to productionize services and own infrastructure from design through operation.

Designs, builds, and maintains cloud environments and CI/CD pipelines for scalable, reliable applications. Responsibilities include cloud platform assessment, infrastructure automation, container orchestration, application deployment, monitoring, vulnerability remediation, security safeguards, testing, documentation, issue tracking, and technical reporting. The role requires extensive Linux, scripting, cloud, integration, testing, and DevOps tooling experience, with at least five years supporting cloud platforms and CI/CD initiatives.

Designs, configures, deploys, and supports infrastructure and application environments in complex, load-balanced systems. Responsibilities include developing automated build and deployment processes, managing cloud and big data platforms, troubleshooting failures, monitoring service levels, defining technical strategies, and collaborating with architects, business leaders, vendors, and technology teams. The role also ensures security, availability, quality standards, disaster recovery readiness, and effective integration across systems.

Leads enterprise DataOps and data platform engineering strategy, defining cloud infrastructure architecture, Terraform standards, CI/CD practices, governance, observability, and operational resilience. Drives multi-team platform transformations, mentors senior engineers, manages technical alignment with executive stakeholders, and develops AI-enabled automation using Cursor, Sana, and Gemini. Establishes data product, DataOps, and active governance methodologies across Workday’s enterprise data ecosystem.

Designs and maintains production-grade CI/CD pipelines, cloud infrastructure, Kubernetes deployments, and infrastructure-as-code across GCP environments. Automates provisioning with Terraform and Helm, manages secrets and DevSecOps integrations, and implements monitoring, alerting, autoscaling, and resilience strategies. The role also supports incident management, deployment readiness, documentation, peer reviews, and mentoring junior DevOps engineers.