Company: Remote First
Country: Worldwide
Type: Remote
Employment: Full-time
Description: We are seeking a Senior Azure DevOps Engineer with strong hands-on experience designing, automating, and managing cloud infrastructure and deployment environments within Microsoft Azure. This is a senior, hands-on role requiring deep expertise in Azure, Kubernetes, Terraform, and CI/CD automation. The ideal candidate comes from a Cloud DevOps or Platform Engineering background and can work independently while providing technical guidance when required. Design, build, optimize, and maintain CI/CD pipelines for reliable and repeatable software deployments. Architect, deploy, and manage cloud infrastructure within Microsoft Azure. Build and manage infrastructure using Terraform / Infrastructure as Code (IaC). Deploy, manage, and optimize containerized workloads using Kubernetes and Docker. Automate infrastructure provisioning, configuration, application deployment, and environment management. Maintain consistent development, testing, staging, and production environments. Implement monitoring, logging, alerting, and performance optimization across cloud infrastructure and applications. Troubleshoot deployment, infrastructure, Kubernetes, and pipeline issues. Support scalability, availability, security, backup, recovery, and disaster recovery initiatives. Integrate security and automated controls into infrastructure and deployment pipelines. Provide technical guidance while remaining actively involved in hands-on engineering and delivery. 10+ years of DevOps, Cloud Engineering, Platform Engineering, or related experience . Strong hands-on experience working within Microsoft Azure environments. Advanced experience with Kubernetes (K8s) and containerized environments. Expert-level experience with Terraform and Infrastructure as Code. Strong experience designing and maintaining CI/CD pipelines. Experience with Docker and container deployment. Strong scripting skills using Python and/or Bash. Experience with cloud monitoring, observability, logging, and troubleshooting. Strong understanding of cloud infrastructure, networking, security, scalability, and high availability. Ability to work independently with minimal supervision in a senior technical capacity. Previous technical lead experience is an asset, but candidates must remain highly hands-on.Description
About the Role
Key Responsibilities
Requirements
Apply here:
Web: Apply here
Emails:
Found 6 similar Remote jobs
Python / Backend / AI Engineer — Remote / Relocation Experienced Python engineer with 10+ years in software engineering. Strong experience with Python, Django, FastAPI, Linux, AWS, Docker, MySQL, micr
Worldwide
View Job →Neuroscale AI
Worldwide
$100,000 - $200,000
View Job →Join our community of over 1,000 Python developers and get instant access to the highest-paying Python jobs worldwide - from Django, Flask and FastAPI to AI and data roles. Save time with our curated job listings featuring transparent salary ranges.