Cloud Engineer / Cloud Architect- Associate Director

KPMG

$120K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Minimum eight years of recent experience in cloud architecture and infrastructure management in an enterprise setting.
  • Master's degree in computer science, engineering, or a related field preferred; Bachelor's degree required.
  • Expert-level knowledge of Microsoft Azure, specifically Azure Kubernetes Service (AKS), KEDA, Azure Service Bus, and Azure AI Search.
  • Relevant Azure certifications, particularly Azure Solutions Architect Expert, highly preferred.
  • Strong expertise in infrastructure-as-code and support for AI/ML workloads.
  • Experience with agile methodologies and SDLC tools like Azure DevOps and Git.
  • Excellent problem-solving skills and ability to communicate complex ideas effectively.

Responsibilities

  • Design and implement scalable, secure cloud architecture on Azure for generative AI microservices.
  • Collaborate with AI/ML engineers to create infrastructure supporting modern AI applications.
  • Evaluate and integrate new Azure services for improved performance and reliability.
  • Architect and optimize Azure Kubernetes Service for auto-scaling and LLM usage.
  • Mentor engineering team and establish best practices for cloud governance and CI/CD.
  • Implement monitoring and observability strategies for high availability and performance.
  • Maintain integrity and professionalism in accordance with KPMG's work environment standards.

Benefits

  • Comprehensive medical and dental plans, including vision coverage.
  • Disability and life insurance options.
  • 401(k) plan availability.
  • Generous Personal Time Off policy based on service and job classification.
  • Holidays observed, plus two additional breaks each year without the use of Personal Time Off.
Full 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)

KPMG LLP and its subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work .

Follow this link to obtain salary ranges by city outside of CA:
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=6690_9_26

KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.

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