Job Description

Rialtes is hiring for an Azure Cloud Architect who can develop and govern comprehensive enterprise architecture frameworks that aligns Cloud Adoption, Technology Enablement, Enterprise Integration, and Enterprise DevOps with business objectives.

Location : Irvine, California

Work Location : Onsite

Employment Type : Long Term Contract

Key Responsibilities

• Design cloud-native and hybrid cloud solutions, leveraging Azure services (e.g., Azure Kubernetes Service, Azure Functions, Azure iPaaS, Azure Databricks) to optimize cost, performance, and scalability, while incorporating other clouds (e.g., AWS, Google Cloud) as needed.
• Architect enterprise integration needs with API-first strategies, microservices, and event-driven architectures, utilizing the Azure iPaaS platform (e.g., Azure API Management Azure Logic Apps, Azure Event Grid, etc.) to ensure seamless connectivity across systems and data sources.
• Champion DevOps practices by designing CI/CD pipelines, Infrastructure-as-Code (IaC), and observability solutions using Azure Monitor to accelerate delivery and ensure system reliability.
• Drive enterprise-wide adoption of AI technologies by architecting scalable and secure solutions that integrate 3 rd party AI technologies with business processes, enabling innovative capabilities like predictive analytics and intelligent automation while aligning with strategic enterprise architecture goals.

Experience :

Minimum of 12+ years in IT architecture roles, with at least 5 years in enterprise architecture leadership for large-scale organizations

Technical Expertise :

• Advanced knowledge of Azure services (e.g., Azure Kubernetes Service, Azure API Management, Azure Machine Learning, Azure Monitor), with familiarity in other cloud platforms (AWS, Google Cloud).
• Expertise in enterprise integration technologies (e.g., Azure Logic Apps, Apache Kafka) and API management platforms, with a focus on Azure API Management.
• Proven experience designing DevOps pipelines, IaC (Azure Bicep, Terraform), and observability tools.
• Knowledge of enterprise architecture frameworks (e.g., TOGAF, Zachman) and modeling tools (e.g., ArchiMate), with experience applying Azure Architecture Center principles.
• Familiarity with AI/ML tooling and data platforms (e.g., Azure Databricks, Snowflake) to support AI Enablement.

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