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KPMG US · 1 day ago

Lead Engineer, .NET Full Stack Development

Montvale, NJ

Full-time

Hybrid

Senior Level

5+ years exp

KPMG is a well-regarded firm providing audit, tax, and advisory services. They are seeking a Lead Engineer to join their Tax Ignition Team, responsible for developing AI-powered features, maintaining scalable microservices, and integrating AI services into their systems.

Financial Services

No H1B

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 + TypeScript, 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, DevOps) 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

Qualification

Microservices architectureRESTful APIsPythonAzureC#AngularSQLMachine Learning frameworksAnalytical skillsCommunication skills

Required

Minimum five years of recent experience in software development and systems architecture

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)

Solid understanding of software engineering such as microservices architecture, RESTful APIs, authentication/authorization

Strong communication and analytical skills are required

Preferred

Bachelor's degree from an accredited college or university in computer science, engineering or related field is preferred; Master's degree from an accredited college or university is desired

Experience building enterprise systems using Python, .NET, C#, Angular, SQL and Azure is preferred

Strong Python skills and experience with ML frameworks (PyTorch, TensorFlow, scikit‑learn) is preferred