Azure Cloud DevOps

Posted about 21 hours agoViewed
MexicoFull-TimeDevOps
Company:Valtech
Location:Mexico
Languages:English
Seniority level:Middle, 4+ years
Experience:4+ years
Skills:
DockerPythonBashGitKubernetesMicrosoft AzureGoGrafanaPrometheusServerlessCI/CDAgile methodologiesLinuxDevOpsTerraformNetworking
Requirements:
4+ years of experience as a DevOps Engineer, Cloud Engineer, or similar role. Comfortable working with Azure and CI/CD tools. Strong technical skills with good communication and collaboration abilities. Solid experience with Microsoft Azure and cloud-native services. Hands-on experience with Kubernetes and AKS in production environments. Hands-on experience with Serverless Applications in production environments. Proficient with CI/CD tools (Azure DevOps, GitHub Actions, GitLab CI, Jenkins, etc.). Experience with Infrastructure as Code (Terraform). Worked with container technologies (Docker) and container registries. Experience implementing monitoring and observability solutions. Comfortable scripting or programming (Bash, Python, Go, etc.) for automation. Understand networking, security, and identity concepts in cloud environments.
Responsibilities:
Design, build, and maintain CI/CD pipelines for cloud-native applications. Provision and manage cloud infrastructure on Microsoft Azure using Infrastructure as Code (Terraform). Deploy, operate, and scale containerized applications using Docker and Kubernetes (AKS). Deploy, operate, and scale Serverless applications. Implement and maintain platform standards, patterns, and best practices across teams. Ensure high availability, performance, and reliability of production systems. Implement monitoring, logging, and alerting solutions (Prometheus, Grafana, ELK, Azure Monitor, etc.). Support release management, deployments, and incident response activities. Collaborate with development teams to improve build, test, and deployment workflows. Apply security best practices in CI/CD pipelines, infrastructure, Kubernetes environments and Serverless environments. Continuously improve automation to reduce manual work and operational toil. Participate in root cause analysis and post-incident reviews to improve system resilience.
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