We are seeking a hands‑on and pragmatic engineering leader to guide the development and evolution of our digital platform; a robust system providing structured company, project, and asset information across sectors and countries, alongside high‑value industry content.

This role is adecuado for someone who combines strong engineering leadership with execution focus, and who can help drive platform evolution while introducing practical AI‑enabled improvements. You will lead a small team, work closely with stakeholders across the business, and play a key role in shaping how we scale our technology. This is a player‑coach role, where you are expected to remain close to the code and contribute directly to development and when needed (approximately 30% of your time).

Core Responsibilities

- Lead and develop a small engineering team, fostering a culture of accountability, ownership, and continuous improvement.
- Drive delivery discipline, ensuring clear prioritization, execution, and timely delivery of key initiatives.
- Provide sound architectural guidance and technical decision‑making to ensure scalability, reliability, and maintainability of the platform.
- Partner closely with product, content, and business stakeholders to align engineering priorities with company goals.
- Contribute to hiring, coaching, and developing engineering talent as the team evolves.
- Guide the adoption of AI‑enabled solutions to improve workflows, data processes, and product capabilities.
- Actively contribute to the codebase and technical problem‑solving, maintaining a hands‑on role in development and supporting the team in critical implementations.

Requirements





- Experience implementing AI‑driven solutions in production environments.
- Experience managing platform integrations (e.g., Appian) and broader system interoperability.
- Experience with data workflows, pipelines, or data acquisition.
- Familiarity with DevOps practices, observability, and cloud infrastructure (e.g., AWS).
- Proven experience leading engineering teams in a hands‑on / player‑coach capacity.
- Strong track record of delivering complex technical projects with clear ownership and accountability.
- Solid architectural and technical judgment in building scalable systems.
- Experience working cross‑functionally with product and business stakeholders.
- Experience with Infrastructure cost optimization strategies.
- Ability to balance hands‑on involvement with leadership responsibilities.
- Fluent English is required; Spanish and/or Portuguese are a plus.
- Entrepreneurial mindset with a focus on execution, impact, and continuous improvement.

Technical Skills

- Java Springboot, Full Stack Development
- Python using Django and/or FastAPI with ORM‑based development
- PostgreSQL
- Containerisation using Docker and Docker Compose
- AWS, DevOps, CI/CD, infrastructure automation
- Unit testing and software quality practices
- QA automation frameworks such as Playwright
- AI‑powered pipeline hosting and orchestration strategies - AWS Step Function, AWS ECS Task Processors, AWS Serverless, S3, Secret Managers, ECS Services, Lambda, API Gateway, etc.
- Generative AI, Agentic AI, MCP, LangGraph, VertexAI, and LangChain
- Modern AI coding tools such as Cursor, Windsurf, Claude Code, Roo Code, AntiGravity, or similar

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📌 Head of Engineering (Ciudad de México)
🏢 Endicott Group
📍 Ciudad de México