The Director of Engineering will be the architect and champion of our AI\-enabled engineering system, responsible for building, implementing, and scaling cutting\-edge development processes. This is a leadership role for a builder and innovator, not just a caretaker. You will lead and mentor up to 8 Tech Leads running projects across multiple clients, ensuring their teams thrive in a culture of AI empowerment. You will report directly to the CEO, with strong support from the CTO. **Requirements** **AI Innovation \& Leadership:** * Translate our vision of AI\-empowered digital creation into daily reality for engineering teams. * Drive adoption of AI\-enabled tools (Cursor, GitHub Copilot, DeepSource, ContextQA, etc.) to enhance code quality, testing, security, and delivery. * Continuously explore and experiment with emerging AI tools to keep the company ahead of the curve. **Team Leadership \& Mentorship:** * Supervise and coach Tech Leads (up to 8\), ensuring consistent excellence across all projects. * Mentor engineers to embrace AI as a partner in their craft. * Foster a culture that blends mastery, autonomy, and purpose with cutting\-edge innovation. **Engineering Systems \& CICD:** * Own the design, implementation, and operation of CI/CD pipelines that integrate testing, security, and AI\-assisted quality gates. * Push QA responsibilities upstream (“shift\-left”), ensuring AI helps our QA team catch defects before they reach clients. * Embed productivity and quality metrics (DORA, cycle time, rework rates) into dashboards for visibility and accountability. **DevSecOps \& Security:** * Embed DevSecOps practices into workflows: code scanning, dependency analysis, container/IaC validation, and secure deployments. * Partner with infrastructure teams on secure, cloud\-native delivery in AWS, or Azure environments. **Collaboration \& Delivery:** * Work closely with Delivery leaders to balance client expectations, budgets, and timelines. * Ensure traceability from feature definition through production, with minimal overhead for engineers. * Use AI agents to reduce administrative burden on creators (e.g., time tracking, defect tagging, reporting). ### **Skills and Qualifications** * 10\+ years of software engineering experience, with at least 5 in engineering leadership. * Proven ability to lead Tech Leads or Engineering Managers across multiple client projects. * Deep experience with CI/CD pipelines and Agile/Distributed Agile practices. * Hands\-on expertise with GitHub, TypeScript/JavaScript, Python, and/or C\#/.NET. * Track record of deploying AI\-enabled tools and processes to improve engineering outcomes. * Knowledge of DevSecOps best practices in modern cloud environments. * Strong communication skills in both Spanish and English. * Valid travel permissions for USA and LATAM. **Nice To Have:** * Experience launching AI or engineering excellence programs. * Familiarity with agentic AI workflows for productivity and automation. * Background in service\-provider or consulting environments.