Associate Director, Software Engineer

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.

Responsibilities

• 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

Qualifications

• 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)

Pay

California Salary Range: $153,000 – $297,000

Benefits

KPMG offers a comprehensive compensation and benefits package.