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Cloud DevOps Engineer

Job in Vancouver, Clark County, Washington, 98662, USA
Listing for: Alquemy
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer, IT Infrastructure
Job Description & How to Apply Below
Cloud Dev Ops Engineer

Employment Type:

Contract

Location:

Vancouver, BC

Responsibilities
  • Provision and manage cloud infrastructure using Terraform, including compute, networking, storage, and related services.
  • Deploy and maintain applications on Kubernetes using Helm and Git Ops tools such as Argo CD.
  • Create and maintain Kubernetes manifests, Helm charts, and environment-specific configurations.
  • Troubleshoot Kubernetes deployments, application issues, connectivity, and resource-related problems.
  • Build and maintain container images and manage container registries.
  • Develop and maintain reliable CI/CD pipelines for application deployments.
  • Monitor infrastructure and application health, investigate alerts, and resolve operational issues.
  • Collaborate with developers and data engineers to support application releases and data workloads.
  • Apply security best practices for access, secrets, and infrastructure changes.
  • Maintain operational documentation and runbooks.
Qualifications
  • Experience in Dev Ops, cloud engineering, or cloud operations.
  • Hands-on experience with Azure Kubernetes Service (AKS), EKS, GKE, or self-managed Kubernetes.
  • Strong experience deploying and troubleshooting applications on Kubernetes.
  • Experience with Helm and Terraform, including reusable configurations and infrastructure changes.
  • Hands-on experience with Azure compute, networking, storage, access, and monitoring.
  • Strong Linux administration and network troubleshooting skills.
  • Experience with Git and CI/CD platforms such as Git Hub Actions.
  • Ability to analyze logs, metrics, and events to troubleshoot technical issues.
  • Strong communication, problem-solving, and collaboration skills.
Nice to Have
  • Experience supporting data platforms, data pipelines, or data processing workloads.
  • Experience with AI/ML pipelines.
  • Familiarity with relational and No

    SQL databases.
  • Experience with Kubernetes monitoring tools such as Prometheus and Grafana.
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