Engineering Director - Platform (Cloud Infrastructure)

Jefferson Frank

  • San Sebastián, Guipúzcoa
  • Permanente
  • Tiempo completo
  • Hace 1 mes
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.

Jefferson Frank