More jobs:
Cloud DevOps Engineer
Job in
Vancouver, Clark County, Washington, 98662, USA
Listed on 2026-10-11
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
Employment Type:
Contract
Location:
Vancouver, BC
- 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.
- 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.
- 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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