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Associate Director, Software Engineer

KPMGHackensack, NJL6 LeadSeptember 15th, 2026
Overview In this role, you lead the design, development, and deployment of full-stack, GenAI-enabled tools within the M&A Tax technology roadmap. You mentor software teams, translate complex business requirements into scalable solutions, and drive modern engineering practices. You partner with cross-functional stakeholders to deliver robust technology that supports the Ignition Tax product group. You will shape technical direction, foster productive DevOps practices, and maintain a resilient cloud-native ecosystem. Compensation / Benefitscomprehensive compensation and benefits package ResponsibilitiesLead end-to-end software development lifecycle from architecture to production supportMentor engineers, review code, and establish development best practicesCollaborate with cross-functional teams to translate business requirements into technical solutionsDrive adoption of CI/CD, automated testing, and cloud-native architecturesOwn design and deployment of full-stack, GenAI-enabled tools for M&A TaxGuide technical direction within the M&A Tax innovation groupEnsure high-quality, scalable and maintainable software solutionsSupport production systems and resolve complex engineering issuesPromote integrity, professionalism, and a respectful work environment Key requirementsMinimum eight years of software engineering experience including five years in a technical lead roleBachelor’s degree or equivalent experienceProficiency in multiple programming languages (Python, Go, C++, JavaScript)Experience with modern backend technologies (distributed microservices, REST APIs, SQL/NoSQL databases)Experience with AI-assisted tooling, workflow automation, or AI/ML models in software productsStrong communication and leadership skills, mentoring and code reviewsKnowledge of cloud infrastructure (AWS, Azure), containerization (Docker, Kubernetes), CI/CD and DevOps tools (GitHub Actions, Jenkins)leadershipcommunicationmentoringfull-stack developmentAI/ML tooling in software productscloud-native architecture