Sr. Software Engineer - Ignition

KPMG LLP; Montvale (NJ); On-site; USD 120,000 - 190,000; Full time

Job summary

KPMG LLP in Montvale, NJ is seeking a Sr. Software Engineer to join our Tax Ignition Team on a hybrid basis. You will translate business needs into AI-powered features and APIs, and work with product owners and data scientists.

You will build client-facing web apps in Angular + TypeScript with Python or .NET backend services, leverage Azure for deployment, and mentor junior engineers while staying current with Generative AI advances.

Qualifications

• Minimum three years of recent experience in software development.
• Bachelor's degree from an accredited college or university in computer science, engineering or related field is preferred; Master's degree is desired.
• 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, TensorFlow, scikit‑learn) is preferred with strong communication and analytical skills.

Responsibilities

• Collaborate with product owners and data scientists to translate business needs into AI‑powered features and APIs.
• 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.
• Mentor junior engineers on AI principles, code reviews, and system design.
• Strong curiosity and growth mindset in Generative AI, evidenced by ongoing self-learning, active engagement with the latest industry developments, and a portfolio of independent projects demonstrating practical application of new concepts

Skills

Python

ML frameworks

RESTful APIs

Angular

TypeScript

C# / .NET

Azure

Microservices

Communication skills

Education

Bachelor's degree in CS/Engineering

Master's degree preferred

Tools

Angular

TypeScript

Python

C# / .NET

SQL

Azure

Job description

KPMG is currently seeking a Sr. Software Engineer to join our Tax Ignition Team. This is a hybrid work opportunity out of our Montvale, NJ location.

Responsibilities:

• Collaborate with product owners and data scientists to translate business needs into AI‑powered features and APIs
• 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
• Mentor junior engineers on AI principles, code reviews, and system design
• Strong curiosity and growth mindset in Generative AI, evidenced by ongoing self-learning, active engagement with the latest industry developments, and a portfolio of independent projects demonstrating practical application of new concepts
• Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment

Qualifications:

• Minimum three years of recent experience in software development
• 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
• 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, TensorFlow, scikit‑learn) is preferred with strong communication and analytical skills