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Lead Engineer , Development

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: KPMG LLP
Full Time position
Listed on 2026-09-16
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

KPMG is currently seeking a Lead Engineer I, Software Developer to join our Ignition Tax Product organization. This is a hybrid work opportunity out of our Denver or Ignition Atlanta location.

Responsibilities:
  • Collaborate with product owners and data scientists to translate business needs into AI-powered features and APIs
  • Architect, develop, and maintain scalable microservices for model inference (on Azure or similar)
  • Build and maintain client-facing web apps in Angular + Type Script, Python or .NET Framework/C# backend services and APIs, secure SQL databases (T-SQL, schema design, stored procs)
  • Leverage Azure services (App Services, Functions, SQL Database, Dev Ops) for deployment, scaling and monitoring
  • Integrate Large Language Models (LLMs) and other AI services (such as Azure OpenAI, Custom Models Serving) into our front-end and back-end systems
  • Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
  • Minimum five years of recent experience in software development and systems architecture
  • Master’s degree from an accredited college or university is preferred;
    Minimum of a Bachelor’s degree from an accredited college or university in computer science, engineering or related field is required
  • Solid understanding of software engineering such as microservices architecture, RESTful APIs, authentication/authorization
  • Experience building enterprise systems using Python, .NET, C#, Angular, SQL and Azure is preferred
  • Strong Python skills and experience with ML frameworks (PyTorch, Tensor Flow, scikit-learn) is preferred with strong communication and analytical skills
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