Associate Director, Software Engineer

KPMG LLP; Los Angeles (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

KPMG LLP in Los Angeles is seeking an Associate Director Software Engineer to drive full-stack development for GenAI-enabled tax technology products. You will lead architecture, development, and deployment, mentor engineers, and collaborate with Ignition Tax professionals to translate business needs into scalable tech solutions.

We expect strong leadership, eight+ years in software engineering, and expertise across Python/Go/C++, JavaScript, cloud platforms, and CI/CD.

Qualifications

• Eight+ years in software engineering or technical lead roles.
• A Bachelor's degree is required or equivalent experience.
• Proficiency in multiple languages and modern backend tech.
• Experience with AI-assisted tooling or ML model integration in software products.

Responsibilities

• Lead design, development, and deployment of full-stack software solutions.
• Mentor engineers, review code, and elevate development practices.
• Partner with cross-functional teams to translate complex requirements into tech solutions.
• Own end-to-end lifecycle from architecture to production support.
• Drive modern engineering practices: CI/CD, automated testing, cloud-native architecture.
• Uphold professional conduct and collaboration across the team.

Skills

Full-stack development

Python/Go/C++/JavaScript

Cloud (AWS/Azure)

CI/CD

Mentoring/leadership

Docker/Kubernetes

REST APIs/SQL-NoSQL

Education

Bachelor's degree

Tools

Docker

Kubernetes

GitHub Actions

Jenkins

SQL/NoSQL databases

Job description

KPMG is currently seeking an Associate Director Software Engineer to join our Ignition Tax Product organization.

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)