Engineering Director - Platform (Cloud Infrastructure)

Engineering Director - ML/AI Platforms | Hybrid (40% remote)🚨

We're looking for an experienced and strategic Director of Engineering to lead the design, deployment, and scaling of our ML/AI platforms. This is a high-impact leadership role in AI projects in Spain - with growing international presence and collaboration. If you're passionate about building world-class AI infrastructure, we'd love to meet you.

🌍 Location: Hybrid model with 3 days/week onsite (Donostia - San Sebastián)

💼 Package: Competitive base salary + bonus

✈️ Relocation Support: We'll support your move if you're relocating

🌐 Language Requirement: Full professional proficiency in English (minimum C1 level)



🔧 What You'll Be Leading:

* Strategic direction and technical leadership for the design, deployment, and optimization of ML/AI projects.
* Building and scaling cloud-native infrastructure across AWS and Azure, with a focus on performance, security, and reliability.
* Overseeing the full lifecycle of AI/ML systems in production, including DevOps/MLOps practices, automation, and monitoring.
* Driving the implementation of infrastructure as code using Terraform, containerization with Docker, and orchestration via Kubernetes.
* Collaborating cross-functionally with data science, engineering, and product teams to ensure systems align with business objectives.
* Evaluating and integrating tools for Large Language Models (LLMs), including frameworks like LLaMa or similar technologies.
* Leading and mentoring a team of engineers, fostering a culture of excellence, ownership, and continuous learning.

✅ What You Bring:

* 8+ years of experience in engineering roles, with at least 3 years in technical leadership or director-level positions.
* Proven experience deploying ML/AI systems in production environments at scale.
* Deep knowledge of cloud platforms (AWS and Azure) and cloud-native architectures.
* Strong background in SaaS environments and distributed systems.
* Expertise in Docker, Kubernetes, and Terraform.
* Solid understanding of DevOps/MLOps pipelines and best practices.
* Familiarity with LLMs and experience working with related tooling (e.g., LLaMa or similar).
* Excellent communication and leadership skills.
* Minimum C1 level of English (spoken and written) required.

If you're a technical leader ready to shape the future of AI infrastructure in a fast-growing, international environment - we'd love to connect.