Azure Architect
Tiger Analytics Inc.12 months ago
Responsibilities
- Design, develop, and migrate enterprise technology products to the Azure public cloud.
- Guide application development teams through Design, Build, and Operate stages.
- Prepare teams for cloud foundation, onboarding, security, release, permitting, and governance requirements.
- Build reproducible and secure infrastructure using Azure CloudFormation and Terraform.
- Design and maintain CI/CD pipelines for build, testing, and deployment, including security scans and rollback mechanisms.
- Embed security into deployment workflows, manage secrets, and ensure infrastructure meets organizational and regulatory standards.
- Architect scalable cloud solutions and design networking components including VPCs, subnets, load balancing, and security groups.
- Use Python, Bash, or PowerShell for scripting, API integrations, and pipeline automation.
Requirements
- Deep expertise designing, developing, and migrating enterprise technology products to Azure public cloud.
- Proficiency with Azure CloudFormation and Terraform, including declarative syntax, modular design, version control, and infrastructure automation.
- Strong experience with Jenkins, GitHub Actions, Azure CodePipeline, and CodeDeploy.
- Knowledge of Azure AD, RBAC policies, encryption standards, cloud security, and compliance.
- Knowledge of VPC design, subnetting, load balancing, security groups, and IaaS, PaaS, and SaaS cloud service models.
- Proficiency in Python, Bash, or PowerShell.
- Strong communication, collaboration, influencing, ownership, and follow-through skills.
Benefits
- Significant career development opportunities.
- Opportunity to work in a small, fast-growing, challenging, and entrepreneurial environment with substantial individual responsibility.
- On-site position in Chicago, United States.
About Tiger Analytics Inc.
Tiger Analytics Inc. provides data and AI consulting services that deliver machine learning, analytics, and cloud data engineering solutions for large enterprises across industries, including life sciences. The company engages on strategy and implementation projects, from modern BI and data platforms to MLOps, helping Fortune 100 clients turn data into business outcomes. Founded in 2011 and headquartered in Santa Clara, it is privately held with operations across North America, Europe, and Asia-Pacific.