Azure Cloud Architect

Azure Cloud Architect

Posted 1 day ago by 1760515439

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Negotiable
Outside
Remote
USA
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Amazon Web Services (AWS) Automation AWS Identity And Access Management (IAM) Azure Kubernetes Service Cloud Computing Cloud Infrastructure Cloud Services Cloud Technology Continuous Integration and Continuous Delivery Data Engineering Design Elements And Principles DevOps Elastic (ELK) Stack Github Gitlab Google Cloud Google Cloud Platform (GCP) Google Kubernetes Engine (GKE) Grafana Infrastructure as Code (IaC) Kubernetes Microsoft Azure Multi-Cloud OpenShift Python (Programming Language) Role-Based Access Control (RBAC) Scalability Scripting Terraform

Summary: The Azure Cloud Architect role focuses on defining cloud architecture strategies and best practices across multi-cloud environments, including AWS, Azure, and Google Cloud Platform. The position requires expertise in Infrastructure as Code using Terraform, automation through Python scripting, and managing Kubernetes workloads. The architect will collaborate with various teams to drive innovation and optimize cloud performance while ensuring security and compliance. This role is remote and classified as outside IR35.

Key Responsibilities:

  • Architecture & Design: Define cloud architecture strategy, patterns, and best practices across multi-cloud environments (AWS, Azure, Google Cloud Platform).
  • Infrastructure as Code (IaC): Develop, deploy, and manage infrastructure using Terraform and modular design principles.
  • Automation & Scripting: Write and optimize Python scripts to automate deployments, monitoring, CI/CD pipelines, and operational tasks.
  • Kubernetes Orchestration: Design and manage containerized workloads using Kubernetes, ensuring scalability, availability, and cost efficiency.
  • Cloud Security & Compliance: Implement guardrails, RBAC, policies, and secure-by-design architecture.
  • Performance Optimization: Drive observability, cost optimization, and reliability engineering across cloud workloads.
  • Collaboration: Partner with developers, DevOps, and data engineering teams to enable AI/ML and modern data workloads.
  • Innovation: Evaluate emerging cloud services (e.g., serverless, service mesh, AI/agentic integrations) and recommend adoption strategies.

Key Skills:

  • Strong hands-on expertise in Terraform for cloud infrastructure provisioning and automation.
  • Proficiency in Python scripting for automation, orchestration, and tooling.
  • Solid knowledge and practical experience with Kubernetes (EKS, AKS, GKE, or OpenShift).
  • Experience in multi-cloud environments (AWS/Azure/Google Cloud Platform), including networking, IAM, storage, and compute.
  • Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or ArgoCD).
  • Experience with observability tools (Prometheus, Grafana, ELK, OpenTelemetry).
  • Strong understanding of cloud security practices and compliance frameworks.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Key Responsibilities

  • Architecture & Design: Define cloud architecture strategy, patterns, and best practices across multi-cloud environments (AWS, Azure, Google Cloud Platform).
  • Infrastructure as Code (IaC): Develop, deploy, and manage infrastructure using Terraform and modular design principles.
  • Automation & Scripting: Write and optimize Python scripts to automate deployments, monitoring, CI/CD pipelines, and operational tasks.
  • Kubernetes Orchestration: Design and manage containerized workloads using Kubernetes, ensuring scalability, availability, and cost efficiency.
  • Cloud Security & Compliance: Implement guardrails, RBAC, policies, and secure-by-design architecture.
  • Performance Optimization: Drive observability, cost optimization, and reliability engineering across cloud workloads.
  • Collaboration: Partner with developers, DevOps, and data engineering teams to enable AI/ML and modern data workloads.
  • Innovation: Evaluate emerging cloud services (e.g., serverless, service mesh, AI/agentic integrations) and recommend adoption strategies.

Required Skills & Experience

  • Strong hands-on expertise in Terraform for cloud infrastructure provisioning and automation.
  • Proficiency in Python scripting for automation, orchestration, and tooling.
  • Solid knowledge and practical experience with Kubernetes (EKS, AKS, GKE, or OpenShift).
  • Experience in multi-cloud environments (AWS/Azure/Google Cloud Platform), including networking, IAM, storage, and compute.
  • Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or ArgoCD).
  • Experience with observability tools (Prometheus, Grafana, ELK, OpenTelemetry).
  • Strong understanding of cloud security practices and compliance frameworks.
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