About this opportunity
KPMG LLP lists this Cloud Engineer / Cloud Architect- Associate Director opportunity in montvale, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
KPMG is currently seeking a Cloud Engineer / Cloud Architect to join our Audit Technology Alliance organization.
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
Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
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(200TEC)
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Worksite address
montvale, NJ, 07645, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.