Verified Job
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Senior Azure Architect Position
Jobs
#567740
Full Time
Job Description
Job Requirements:
To succeed in this role, you will need to possess the following skills and qualifications:
• 10+ years of experience in solution architecture and full-stack/cloud-native development.
• Proven expertise with AKS across 5+ real-world projects including advanced networking, private access, and custom ingress setups.
• Hands-on experience with Prefect Orion: deployment, flow registration, scheduling, and agent configuration.
• Advanced knowledge of Dask, its deployment strategies on Kubernetes, performance tuning, and fault tolerance.
• Strong proficiency in:o Python (FastAPI, asyncio)o React.jso PostgreSQL
• Strong understanding of Azure Cloud services, including:o VNet design & peeringo Private Endpoints & DNSo Storage accounts with lifecycle policieso Key Vault and Identity integrations
• Experience with Azure DevOps, GitHub Actions, or Terraform + Helm for infrastructure-as-code and pipeline automation.
• Deep knowledge of Docker containerization and image lifecycle management.
• Familiarity with RPA concepts and integrating data workflows with automation platforms.
To succeed in this role, you will need to possess the following skills and qualifications:
• 10+ years of experience in solution architecture and full-stack/cloud-native development.
• Proven expertise with AKS across 5+ real-world projects including advanced networking, private access, and custom ingress setups.
• Hands-on experience with Prefect Orion: deployment, flow registration, scheduling, and agent configuration.
• Advanced knowledge of Dask, its deployment strategies on Kubernetes, performance tuning, and fault tolerance.
• Strong proficiency in:o Python (FastAPI, asyncio)o React.jso PostgreSQL
• Strong understanding of Azure Cloud services, including:o VNet design & peeringo Private Endpoints & DNSo Storage accounts with lifecycle policieso Key Vault and Identity integrations
• Experience with Azure DevOps, GitHub Actions, or Terraform + Helm for infrastructure-as-code and pipeline automation.
• Deep knowledge of Docker containerization and image lifecycle management.
• Familiarity with RPA concepts and integrating data workflows with automation platforms.
