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Mid-level generalist DevOps role with common Azure/Kubernetes skills attracts moderate applicant density.
DevOps and Python skills transfer easily across industries and cloud environments.
Explicit 5+ years and specific Azure DevOps/Kubernetes pipeline skills create strict filtering.
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Own the design, implementation, and automation of Azure DevOps pipelines including build, release, deployment, and artifact management using YAML multi-stage pipelines and templates.
Develop Python backend services and automation scripts utilizing FastAPI, async programming, and REST APIs, ensuring integration with Azure AI and containerized environments.
Manage containerization and orchestration using Docker, Kubernetes (AKS), Helm, and enable GitOps practices with tools like ArgoCD for continuous delivery.
5+ years of professional experience in software development and DevOps roles.
Proficiency in Python programming including FastAPI, asynchronous programming, and automation scripting.
Strong experience with Azure DevOps services including YAML pipelines, build/release pipelines, artifact management, and pipeline security.
Hands-on experience with container technologies: Docker, Kubernetes (preferably AKS), and knowledge of Helm charts and optionally ArgoCD.
Experienced engineer able to bridge software development with infrastructure automation in Azure cloud environments, specifically Azure DevOps and Kubernetes.
Candidate with proven skills in designing CI/CD pipelines with emphasis on multi-stage YAML pipelines, automation testing, and security best practices.
Familiarity or interest in integrating AI/ML capabilities into DevOps workflows, including prompt engineering and use of Azure AI/OpenAI services.