Associate Director, Software Engineer

• Lead the design, development, and deployment of full-stack software solutions, including both internal and external-facing GenAI-enabled tools that drive the M&A Tax strategic technology roadmap
• Serve as a technical mentor and guide for M&A Tax professionals and innovation team members, providing critical reviews of code, establishing best practices, and elevating the team's software development capabilities
• Partner closely with cross-functional teams, including Ignition software development professionals and non-technical M&A tax specialists, to translate complex business requirements into robust, scalable, and practical technology solutions
• Own the end-to-end lifecycle of software development projects, from initial architecture and system design through to testing, documentation, deployment, and production support
• Act as a key problem-solver and technical expert, navigating ambiguity to deliver high-quality solutions and set the technical direction for software development within the M&A Tax innovation group
• Drive the adoption of modern software engineering practices, including CI/CD, automated testing, and cloud-native architecture, to build and maintain a resilient and efficient technology ecosystem
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

• Minimum eight years of recent full-time industry experience in a software engineering or technical lead role, including a minimum of five years of technical lead experience, with a strong background in full-stack development
• Bachelor's degree from an accredited college or university is required or acquired academic level by working experience
• Extensive proficiency in multiple programming languages (for example, Python, Go, C++, JavaScript) and expertise in modern backend technologies (for example, distributed microservices, REST APIs, SQL/NoSQL databases)
• Demonstrated experience with AI-assisted tooling, workflow automation, or the practical application of AI/ML models in software products
• Excellent communication and leadership skills, with proven experience mentoring other engineers, conducting code reviews, and partnering effectively with non-technical stakeholders
• Strong knowledge of cloud infrastructure (e.g., AWS, Azure), containerization (for example, Docker, Kubernetes), and CI/CD and DevOps practices (for example, GitHub Actions, Jenkins)

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.

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