Associate, Cloud DevOps

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking an Associate, Cloud DevOps to join our Global Technology & Group which is part of KPMG International. Responsibilities: Develop and automate cloud solutions across Azure, GCP, and AWS using Infrastructure-as-Code (IaC) and scripting for Windows and Linux environments Implement and maintain automation frameworks for infrastructure deployments and testing to ensure code quality and reliability Support AI-driven initiatives by integrating automation and cloud services to enable scalable AI/ML workloads Build features in Python and TypeScript for Azure-native microservices; containerize services and update basic Kubernetes/AKS manifests used by the team Wire simple agentic flows using Azure AI Foundry, Microsoft Agentic Framework, LangChain/LangGraph, and Google ADK; connect agents to tools via MCP and handle basic streaming responses Collaborate with cross-functional teams to troubleshoot technical issues, perform root cause analysis, and deliver effective solutions Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications: Minimum one year of recent experience in IT cloud development and automation engineering Bachelor's degree in computer science, engineering, or a related field (or one year equivalent work experience) Basic understanding of machine learning concepts and AI technologies Proficiency in data analysis and programming languages like Python, PowerShell, or others used in AI/ML development Experience with Infrastructure-as-Code tools (e.g., Terraform) and containerization technologies (Docker, Kubernetes) Strong problem-solving skills, attention to detail, excellent communication and collaboration skills Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries (

Created: 2026-01-27