DevOps Engineer

Posted 18 hours ago

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About the role

  • DevOps Engineer responsible for multi-cloud infrastructure across Azure, AWS, and GCP. Collaborate with teams to build CI/CD pipelines and implement automation for AI applications.

Responsibilities

  • Design, build, and maintain CI/CD pipelines that support continuous delivery across multiple cloud platforms (Azure DevOps, GitHub Actions, GitLab CI)
  • Architect and manage cloud infrastructure across Azure, AWS, and GCP using Infrastructure as Code (Terraform, Bicep, CloudFormation)
  • Manage containerized application workloads using Kubernetes (AKS, EKS, or GKE) and Docker
  • Implement and maintain cloud security best practices: IAM policies, network segmentation, secrets management, vulnerability scanning
  • Design and maintain observability stacks — logging, metrics, alerting — using tools such as Azure Monitor, CloudWatch, Datadog, or Grafana/Prometheus
  • Collaborate with software and ML engineering teams to define deployment strategies, optimize release pipelines, and reduce deployment risk
  • Evaluate and introduce tooling improvements that enhance reliability, scalability, and developer productivity
  • Contribute to incident response and post-mortem processes, driving root cause analysis and corrective actions
  • Build and maintain internal documentation on infrastructure architecture, operational runbooks, and DR procedures
  • Mentor junior team members and provide technical guidance on cloud and DevOps best practices

Requirements

  • Degree or equivalent work experience in Computer Science, Systems Engineering, or a related discipline
  • 3–6 years of progressive DevOps, cloud engineering, or site reliability engineering experience
  • Strong hands-on experience with at least two of: Azure, AWS, GCP — multi-cloud exposure is highly valued
  • Proven experience building and maintaining CI/CD pipelines in production environments
  • Proficiency with Infrastructure as Code: Terraform required; Bicep, Pulumi, or CDK are a plus
  • Solid Kubernetes experience: cluster management, Helm charts, workload scaling, networking
  • Scripting fluency in Python, Bash, or PowerShell for automation and tooling
  • Experience implementing cloud security controls: IAM, RBAC, network policies, key management
  • Understanding of software delivery lifecycle and agile development practices
  • Strong troubleshooting ability across networking, compute, storage, and application layers

Benefits

  • Uncapped Vacation - For all full time, permanent employees. Seriously, take the time you need - when you need it.
  • Make an Impact - Witness the impact your work contribution has on the success of our company.
  • Working with PhD and Master Level Colleagues - Endless conversations around the latest in Machine Learning and Applied AI.
  • Competitive Benefits - For all full time, permanent employees.
  • Office as a Resource - Hybrid work environment with state-of-the-art office spaces that ignite collaboration.
  • Big Slack Energy - IYKYK.

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudDockerGoogle Cloud PlatformGrafanaKubernetesPrometheusPythonTerraform

Location requirements

HybridEdmontonCanada

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