Hire Donnie Laur as Your Next Engineering Director
I build and scale AI-enabled engineering organizations—defining multi-year technical vision, instituting disciplined operations, and ensuring regulated launches meet reliability, security, and compliance standards.
Built production MCP server with 9 unified tools for code assessment, pattern coaching, and persistent memory—deployed on AWS with Docker, PostgreSQL, Redis, and Qdrant.
Led distributed teams achieving 95% on-time delivery, 35% eNPS improvement (6.2→8.4), and 50% faster onboarding through structured processes.
Schema-aware guardrails validating AI-generated code against Drizzle/Prisma schemas, catching hallucinated database fields before runtime errors.
• Production MCP (Model Context Protocol) server for Claude Code and Cursor with 9 unified tools: code assessment, pattern coaching, persistent memory, schema validation, and more.
• Full-stack deployment: AWS EC2, Docker Compose, PostgreSQL, Redis, Qdrant vector database, nginx reverse proxy with SSL. Memory classification (Episodic, Semantic, Procedural) enables cross-session learning.
• Adaptive guardrails auto-adjust strictness based on git branch (prototype→production). 50+ curated patterns for TypeScript, Python, React, APIs with feedback loop discovering new patterns from team corrections.
• Targeting VP of Engineering, Director of Engineering, and Head of Platform roles in AI-first or regulated industries.
• Charter ownership: technical vision, org design, capacity planning, compliance alignment, and cross-functional delivery.
• Email donlaur@engify.ai with the role scorecard, operating context, and timeline to begin an executive interview loop.
Executive responsibilities Donnie leads
Technical Leadership & Individual Contribution
- • Lead the technical vision and strategy for AI-first SaaS platforms spanning product, platform, and data domains.
- • Drive adoption of modern software engineering, architecture, DevOps, and guardrail practices across teams.
- • Evaluate emerging product-engineering trends and translate them into pragmatic investments for regulated industries.
- • Guide architecture reviews, integration choices, and scalability plans that keep systems secure and auditable.
Team Leadership & People Management
- • Build, coach, and mentor distributed engineering organizations across the United States and Europe.
- • Recruit, onboard, and develop diverse leadership benches with clear performance systems and succession plans.
- • Design operating models, career paths, and feedback rituals that reinforce ownership, transparency, and growth.
- • Champion agile collaboration with product, go-to-market, and compliance partners.
Product Delivery
- • Oversee end-to-end delivery of scalable, reliable SaaS releases that exceed market expectations.
- • Align roadmaps with Product, QA, Operations, and Customer teams to prioritize initiatives and hit launch milestones.
- • Ensure uptime, performance, security, and regulatory compliance commitments are met or exceeded.
- • Balance near-term product bets with foundational platform investments and guardrail automation.
Process, Quality & Continuous Improvement
- • Optimize workflows, tooling, and capacity planning to enhance velocity and predictability.
- • Instrument KPIs for engineering performance, stability, and technical debt to inform executive decisions.
- • Enforce rigorous code review, testing, documentation, and release management standards.
- • Lead incident response, retrospectives, and continuous-improvement programs that sustain operational excellence.