Job description

KPMG is currently seeking a M&A Senior Associate Software Engineer to join our Mergers & Acquisitions practice. Responsibilities: • Lead the design, development, and deployment of full-stack software solutions, including both internal and external-facing GenAI-enabled tools that drive Tax strategic technology roadmap • Serve as a technical mentor and guide for Tax professionals and innovation team members, providing critical reviews of code, establishing best practices, and elevating the team’s software development capabilities • 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 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 three years of recent full-time industry experience in a software engineering or technical lead role, with a strong background in full-stack development • Bachelor's degree in computer science, engineering, or an equivalent field from an accredited college or university • 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 (for example, AWS, Azure), containerization (for example, Docker, Kubernetes), and CI/CD and DevOps practices (for example, GitHub Actions, Jenkins)

Requirements

Must-haves

KPMG is currently seeking a M&A Senior Associate Software Engineer to join our Mergers & Acquisitions practice.
Lead the design, development, and deployment of full-stack software solutions, including both internal and external-facing GenAI-enabled tools that drive Tax strategic technology roadmap
Serve as a technical mentor and guide for Tax professionals and innovation team members, providing critical reviews of code, establishing best practices, and elevating the team’s software development capabilities
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 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 three years of recent full-time industry experience in a software engineering or technical lead role, with a strong background in full-stack development
Bachelor's degree in computer science, engineering, or an equivalent field from an accredited college or university
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 (for example, AWS, Azure), containerization (for example, Docker, Kubernetes), and CI/CD and DevOps practices (for example, GitHub Actions, Jenkins)

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

ci/cdpythongojavascriptrestsqlaimlawsazuredockerkubernetes

Platform: avature
Effort: medium