Director of Engineering

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.