Cloud Engineer / Cloud Architect- Associate Director

KPMG LLP; Montvale (NJ); On-site; USD 150,000 - 190,000; Full time

Job summary

KPMG LLP is seeking a Cloud Engineer / Cloud Architect to join the Audit Technology Alliance. You will own Azure-based cloud designs for scalable AI microservices, collaborate with AI/ML engineers and PMs to translate requirements into robust infra, and drive architectural innovation and governance.

Lead AKS/KEDA configurations, implement robust CI/CD pipelines, and mentor the team to ensure high availability and secure cloud solutions across the global audit practice.

Qualifications

• Eight+ years in cloud architecture, solution design and infra management in an enterprise.
• Master's degree preferred; Bachelor's required.
• Strong hands-on Azure experience with AKS, KEDA, Service Bus, and AI Search.

Responsibilities

• Own the design and implementation of scalable, resilient cloud architecture on Azure for AI microservices.
• Translate application requirements into robust, cost-effective infrastructure designs for modern AI agent patterns.
• Evaluate new Azure services and MLOps practices to improve performance and reliability.
• Architect and optimize AKS and KEDA configurations for auto-scaling and LLM usage.
• Mentor engineering teams and establish best practices for IaC, CI/CD, and cloud governance.
• Design a monitoring and observability strategy for high availability and verifiable performance.

Skills

Cloud architecture

Solution design

Team leadership

Agile methodologies

SDLC tooling

Education

Master's degree in CS/Engineering

Bachelor's degree required

Tools

Azure AKS

KEDA

Azure Service Bus

Azure AI Search

Azure DevOps

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)