Cloud DevOps Engineer
New
Flexible remote work environment within the United States.Full-TimeMiddle
Salary99,000 - 128,500 USD per year
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Job Details
- Experience
- 4+ years
- Required Skills
- AgileBashGitKubernetesAzureCI/CDTerraform
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
- 4+ years of cloud infrastructure experience, with strong focus on Microsoft Azure.
- Hands-on experience with Infrastructure-as-Code tools such as Terraform, ARM templates, Bicep, or CloudFormation.
- Strong knowledge of CI/CD systems, source control tools (Git/GitHub), and DevOps practices.
- Experience with Kubernetes or similar container orchestration platforms (AKS, EKS, GKE, or OpenShift).
- Proficiency in scripting and automation using Bash, PowerShell, CLI tools, or REST APIs.
- Familiarity with observability tools such as Dynatrace, Prometheus, Grafana, Azure Monitor, or OpenTelemetry.
- Understanding of cloud architecture principles including scalability, resiliency, identity, and security.
- Experience working in Agile environments using tools such as Jira, Confluence, or Azure DevOps.
- Strong problem-solving skills, attention to detail, and ability to work independently in fast-paced environments.
Responsibilities
- Design, build, and maintain cloud infrastructure using Infrastructure-as-Code tools such as Terraform, Bicep, ARM, PowerShell, Bash, and YAML.
- Develop and manage CI/CD pipelines to enable secure, reliable, and automated deployment processes.
- Optimize cloud environments for scalability, resiliency, performance, security, and cost efficiency.
- Participate in troubleshooting and resolution of complex production issues across cloud and containerized environments.
- Collaborate with engineering, security, compliance, and operations teams to define and implement automation and platform improvements.
- Apply software engineering best practices to infrastructure development and automation workflows.
- Maintain technical documentation, operational runbooks, and deployment knowledge resources.
- Support containerized workloads and Kubernetes-based environments across Azure and other cloud platforms.
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