Director, Software Engineering

Job Description A Client Communications Management (CCM) Firm is seeking a Director of Software Engineering to join their organization. The Director of Software Engineering will lead multiple software development teams to design, build, and deliver innovative, secure, and scalable solutions that support the print and digital platforms. This role combines deep technical expertise with strategic leadership to modernize engineering practices, integrate AI-powered development tools, and ensure the consistent delivery of high-quality software aligned with company objectives. Key Responsibilities u2022u2003Lead and mentor software development teams, ensuring proper staffing, training, and performance management. u2022u2003Oversee end-to-end software delivery processes, ensuring adherence to coding, testing, and deployment standards. u2022u2003Define and execute the roadmap for AI-powered development tools, including prompt engineering strategies, tool integration, and developer onboarding. u2022u2003Own the implementation, governance, and optimization of GitHub Copilot (and similar tools) across all engineering teams. u2022u2003Develop and maintain reusable prompt templates that reinforce best practices, architectural consistency, and secure coding standards. u2022u2003Partner with Architecture, DevOps, and Security teams to ensure AI-generated code aligns with OSGConnectu2019s technical, operational, and compliance frameworks. u2022u2003Drive continuous improvement in code quality, system reliability, and delivery speed through automation and agile methodologies. u2022u2003Oversee technology evaluations, proof of concepts, and adoption of modern frameworks and practices to enhance scalability and resilience. u2022u2003Collaborate with product and business leaders to translate strategic goals into actionable technology roadmaps. u2022u2003Foster a culture of innovation, accountability, and learning within the engineering organization. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements u2022u2003Bacheloru2019s degree in Computer Science, Software Engineering, or a related technical discipline (Masteru2019s preferred). u2022u20038+ years of experience in software engineering, including 2u20134 years in a leadership or architecture role. u2022u2003Deep understanding of .NET development, Visual Studio, and modern SDLC workflows (Git, CI/CD pipelines, automated testing). u2022u2003Demonstrated experience implementing or managing AI-assisted development tools (e.g., GitHub Copilot, Amazon CodeWhisperer, CodiumAI, Cursor, etc.). u2022u2003Strong background in prompt engineering, code quality enforcement, and developer productivity tooling. u2022u2003Familiarity with cloud-native development in AWS, including services such as CodeCatalyst, Bedrock, or SageMaker. u2022u2003Excellent communication, problem-solving, and organizational skills with a collaborative leadership style. u2022u2003Experience in the print and digital communications or customer communications management (CCM) industry. u2022u2003Proven ability to drive transformation within a growing technology organization. u2022u2003Knowledge of microservices architecture, API development, and containerization (Docker/Kubernetes). u2022u2003Demonstrated success in scaling development teams and optimizing engineering performance metrics. u2022u2003Knowledge of current AI techniques and components like RAG and MCP

Created: 2025-12-04