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Associate, Cloud DevOps

Job in Knoxville, Knox County, Tennessee, 37955, USA
Listing for: Kpmg Llp
Full Time position
Listed on 2026-02-19
Job specializations:
  • IT/Tech
    Cloud Computing, AI Engineer
Salary/Wage Range or Industry Benchmark: 61800 - 122800 USD Yearly USD 61800.00 122800.00 YEAR
Job Description & How to Apply Below

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, Fair
360 and others. If you’re as passionate about your future as we are, join our team.

KPMG is currently seeking an Associate, Cloud Dev Ops 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 Type Script 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, Lang Chain/Lang Graph, 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, Power Shell, 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 does not sponsor U.S. work visas for this opportunity
Benefits & Compensation

We offer a comprehensive, competitive benefits package including medical, dental, vision, disability and life insurance, 401(k) plans, and personal well‑being benefits. Eligible employees receive paid time off and two scheduled breaks each year. Salary ranges for this role are $61,800 – $122,800 per year for the California location.

EEO Statement

KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status or any other category protected by applicable federal, state or local laws.

Legal Notice

Los Angeles County applicants:
Material job duties for this position are listed above and include responsibilities that require adherence to company policies, sound judgment, stress management, and respectful teamwork. Under the California Fair Chance Act and related ordinances, we will consider qualified applicants with arrest and conviction records.

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Position Requirements
10+ Years work experience
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