Associate Software Engineer: GenAI & Cloud Analytics

KPMG LLP; Orlando (FL); On-site; USD 80,000 - 110,000; Full time

Job description

KPMG is currently seeking an Associate, Software Engineer to join our Ignition Tax Product practice.

Responsibilities:

• Design, develop, and maintain software applications and GenAI-enabled tools that support internal operations and external M&A Tax client engagements
• Collaborate effectively with Senior Software Engineers, M&A Tax professionals, and Ignition developers to translate business requirements into scalable data and software solutions
• Utilize Microsoft Fabric and other cloud-based data technologies to manage, process, and analyze complex datasets supporting M&A Tax strategic initiatives
• Participate in the full software development lifecycle, including writing clean, well-tested code, debugging, and deploying high-quality technical solutions
• Support the integration of AI models, workflow automation, and advanced analytics into existing tax platforms and everyday workflows
• Contribute to technical documentation, participate in code reviews, and help continuously improve the team’s modern software engineering and agile practices
• Act with integrity, professionalism, and personal responsibility to uphold KPMG’s respectful and courteous work environment

Qualifications:

• Minimum one year of recent full-time experience in software engineering, full-stack development, data engineering, or a related technical role
• Bachelor's degree from an accredited college or university in computer science, engineering, information technology, or an equivalent field is required
• Strong proficiency in programming languages such as Python, C#, or JavaScript, along with solid experience in database design (SQL/NoSQL) and API development
• Hands-on experience or strong familiarity with Microsoft Fabric (for example, Data Engineering, Data Factory, Synapse) for end-to-end analytics and integration is highly preferred
• Experience with cloud infrastructure (Microsoft Azure preferred), containerization, and modern DevOps practices (CI/CD, Git)
• Strong analytical and problem-solving skills with the ability to communicate technical concepts effectively to both technical team members and non-technical tax professionals