Sr. Software Engineer - Ignition
KPMG
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 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 AIpowered features and APIs
- Build and maintain clientfacing web apps in Angular + TypeScript, Python or .NET Framework/C# backend services and APIs, secure SQL databases (TSQL, 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 frontend and backend systems
- Mentor junior engineers on AI principles, code reviews, and system design
- Strongcuriosity and growth mindset in Generative AI, evidenced by ongoingself-learning, active engagement with the latest industry developments, and aportfolio of independent projects demonstrating practical application of newconcepts
- 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, scikitlearn) is preferred with strong communication and analytical skills
Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. 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. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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