Cloud Engineer / Cloud Architect- Associate Director

Responsibilities

• Own the design and implementation of scalable, resilient, and secure cloud architecture on Azure tailored for hosting high-performance generative AI microservices
• Collaborate closely with AI/ML engineers and product managers to translate application requirements into robust, cost-effective infrastructure designs that support modern AI agent patterns
• Champion architectural innovation and quality by evaluating and integrating new Azure services and MLOps practices to enhance performance and reliability
• Drive strategic evolution of the cloud platform by architecting and optimizing Azure Kubernetes Service (AKS) and KEDA configurations for advanced auto-scaling and LLM usage
• Serve as a senior technical expert and mentor to the engineering team; establish best practices for infrastructure-as-code, CI/CD, and overall cloud governance
• Design and implement a comprehensive monitoring and observability strategy to ensure high availability and verifiable performance that meets the demands of the global audit practice

Qualifications

• Minimum eight years of recent experience in technical roles with a primary focus on cloud architecture, solution design, and infrastructure management in an enterprise environment
• Master's degree from an accredited college or university in computer science, engineering, or a related technical discipline is preferred; minimum of a Bachelor's degree is required
• Expert-level knowledge of Microsoft Azure with hands-on experience designing and deploying solutions using Azure Kubernetes Service (AKS), KEDA, Azure Service Bus, and Azure AI Search
• Relevant Azure certifications such as Azure Solutions Architect Expert are highly preferred
• Strong proficiency with infrastructure-as-code (IaC) principles and tools; experienced in supporting infrastructure requirements for AI/ML workloads including RAG pipelines and LLM serving
• Demonstrated experience with agile methodologies and SDLC tools such as Azure DevOps and Git; capable of building robust CI/CD pipelines for automated infrastructure provisioning
• Excellent problem-solving abilities and strong communication skills; able to lead technical discussions and translate business requirements into secure, scalable, and reliable cloud solutions