Director, Software Engineering (Java, Agile)

- Design and enhance AI-native, cloud-first architectures for intricate enterprise systems while ensuring a balance of speed, accuracy, security, and compliance - Contribute to production code and conduct code reviews in C#/.NET, React/TypeScript, and SQL Server, adopting AI-assisted development techniques - Lead architecture discussions, code evaluations, and specification reviews, prioritizing decision quality over task completion - Establish and continually improve CI/CD processes, automated testing, and security scanning to ensure AI-generated artifacts meet enterprise standards - Develop and implement an AI-driven engineering model where AI generates specifications, tests, and code, while humans provide intent and approval - Advocate for AI-native workflows (e.g., Claude Code, agent-based development, intelligent testing, AI-assisted code review) as standard practices - Ensure the safe and compliant use of AI, particularly within regulated healthcare contexts - Continuously refine prompts, agent constraints, review processes, and engineering standards to enhance specification yield, decision latency, and overall quality outcomes - Cultivate a culture of empathy, shared understanding, and continuous learning through regular one-on-one meetings, career development strategies, effective communication, knowledge exchange, and skills evaluations - Create development pathways for junior developers, senior engineers, and emerging technical leaders - Implement contemporary management techniques centered around outcome-focused goal setting - Grow and scale development teams of over 10 developers, along with nearshore or offshore contractors - Manage branching, feature flags, and release schedules; promote changes across environments, present at change advisory board meetings, and collaborate with Infra/QA/Data/Security to ensure timely value delivery - Drive consistent delivery using flow and quality metrics (e.g., throughput, code quality, intent) instead of activity-based indicators - Ensure decision visibility, swift resolution of blocks, and clear ownership of decisions among teams - Collaborate with QA, Product, and Infrastructure teams to guarantee seamless delivery and operational excellence - Advocate for engineering requirements while ensuring alignment with business objectives - Promote an inclusive and innovative engineering culture that attracts and retains top talent