DevOps Engineer
AI Summary
DevOps Engineer responsible for designing and operating multi-cloud infrastructure (Azure, AWS, GCP), building CI/CD pipelines, and ensuring reliability and security across services.
About this role
About the Role
You will be a core contributor to our cloud infrastructure and delivery engineering practice. As a DevOps Engineer, you will own the design and operation of our multi-cloud environments across Azure, AWS, and GCP — building the pipelines, platforms, and automation that empower development teams to ship with speed and confidence. This is a hands-on, high-ownership role within a small-to-medium software team. You will be expected to bring strong opinions, take initiative, and continuously improve how we build and operate our systems.
What You'll Do:
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Design, build, and maintain CI/CD pipelines that support continuous delivery across multiple cloud platforms (Azure DevOps, GitHub Actions, GitLab CI)
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Architect and manage cloud infrastructure across Azure, AWS, and GCP using Infrastructure as Code (Terraform, Bicep, CloudFormation)
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Manage containerized application workloads using Kubernetes (AKS, EKS, or GKE) and Docker
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Implement and maintain cloud security best practices: IAM policies, network segmentation, secrets management, vulnerability scanning
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Design and maintain observability stacks — logging, metrics, alerting — using tools such as Azure Monitor, CloudWatch, Datadog, or Grafana/Prometheus
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Collaborate with software and ML engineering teams to define deployment strategies, optimize release pipelines, and reduce deployment risk
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Evaluate and introduce tooling improvements that enhance reliability, scalability, and developer productivity
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Contribute to incident response and post-mortem processes, driving root cause analysis and corrective actions
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Build and maintain internal documentation on infrastructure architecture, operational runbooks, and DR procedures
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Mentor junior team members and provide technical guidance on cloud and DevOps best practices
What You Bring:
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Degree or equivalent work experience in Computer Science, Systems Engineering, or a related discipline
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3–6 years of progressive DevOps, cloud engineering, or site reliability engineering experience
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Strong hands-on experience with at least two of: Azure, AWS, GCP — multi-cloud exposure is highly valued
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Proven experience building and maintaining CI/CD pipelines in production environments
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Proficiency with Infrastructure as Code: Terraform required; Bicep, Pulumi, or CDK are a plus
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Solid Kubernetes experience: cluster management, Helm charts, workload scaling, networking
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Scripting fluency in Python, Bash, or PowerShell for automation and tooling
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Experience implementing cloud security controls: IAM, RBAC, network policies, key management
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Understanding of software delivery lifecycle and agile development practices
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Strong troubleshooting ability across networking, compute, storage, and application layers
Desirable:
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Relevant cloud certifications: AZ-104 / AZ-400, AWS Solutions Architect, GCP Professional Cloud Architect
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Experience supporting ML/AI workloads: GPU clusters, model deployment pipelines, MLflow, Kubeflow
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Background in GitOps practices using ArgoCD or Flux
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Experience with service mesh technologies (Istio, Linkerd)
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Exposure to FinOps principles and cloud cost optimization
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Prior experience in a startup or scale-up software environment
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Familiarity with compliance frameworks relevant to Canadian tech companies (SOC 2, PIPEDA)
Skills
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