📍 Job Overview

• Job Title: Engineering Director - Platform (Cloud Infrastructure)
• Company: Multiverse Computing
• Location: San Sebastián, Autonomous Community of the Basque Country, Spain
• Job Type: Full-Time, Hybrid
• Category: Engineering Management, Cloud Infrastructure, DevOps, MLOps
• Date Posted: 2025-03-13
• Experience Level: 5-10 years
• Remote Status: On-site/Hybrid

🚀 Role Summary

• Lead and grow a high-performing team responsible for cloud infrastructure, DevOps, and MLOps.
• Collaborate with leadership to define and execute the company's cloud strategy.
• Manage the transition to a SaaS product and ensure scalability and reliability.
• Oversee huge computational loads for a 100+ Engineer company.
• Work directly with the CTO and influence the company's technical direction.

📝 Enhancement Note: This role requires a strong balance of technical depth and leadership acumen, with a focus on cloud infrastructure, DevOps, and MLOps. The successful candidate will have a significant impact on the company's growth and product offerings.

💻 Primary Responsibilities

• Team Building & Leadership: Recruit, mentor, and manage a team of DevOps and MLOps engineers.
• Cloud Infrastructure Management: Design, deploy, and maintain scalable cloud infrastructure on AWS and Azure.
• MLOps & AI Infrastructure: Develop and manage infrastructure to support machine learning and data analytics solutions.
• SaaS Transition: Lead the company's transition to offering a SaaS product, ensuring a smooth and efficient process.
• Stakeholder Communication: Collaborate with leadership, cross-functional teams, and external stakeholders to define and deliver on technical goals.

📝 Enhancement Note: This role involves a mix of technical hands-on work and strategic decision-making. The ideal candidate will have a strong background in both software engineering and leadership, with a deep understanding of cloud infrastructure and AI solutions.

🎓 Skills & Qualifications

Education:

• Master's degree in Computer Science or a related field (preferably with a focus on AI, machine learning, or a relevant specialization).

Experience:

• 5+ years of hands-on experience in software engineering and/or DevOps.
• 2+ years leading DevOps and/or platform teams in a technology-driven company.
• Experience leading MLOps/AI/Data engineers.
• Proven leadership skills, with the ability to prioritize and manage urgency while delivering on long-term goals.

Required Skills:

• Solid understanding and knowledge of DevOps practices and agile methodologies.
• Experience deploying SaaS solutions and applications to Kubernetes.
• Extensive experience with AWS and Azure.
• Proven experience using automation to support deployment, scaling, monitoring, and management (e.g., Terraform).
• Hands-on experience in development, deployment, and production environments for AI solutions (particularly LLMs).

Preferred Skills:

• PhD in Computer Science or a related field.
• Database experience with SQL Server, MySQL, PostgreSQL, or other databases.
• Experience designing and deploying infrastructure to support machine learning and data analytics solutions.

📝 Enhancement Note: While not strictly required, a PhD in Computer Science or a related field, as well as database experience, would be beneficial for this role. These qualifications would indicate a deeper understanding of AI and data management, which could be valuable in managing the company's AI infrastructure and transition to a SaaS product.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

• A well-structured and up-to-date LinkedIn profile showcasing your leadership and technical skills.
• A personal website or GitHub profile demonstrating your technical expertise, with a focus on cloud infrastructure, DevOps, and MLOps projects.
• Case studies or blog posts detailing your experience with cloud infrastructure, AI solutions, and team leadership.

Technical Documentation:

• Detailed documentation of your cloud infrastructure, including architecture diagrams, deployment scripts, and monitoring configurations.
• Code samples or snippets demonstrating your proficiency in relevant programming languages and tools.
• Performance metrics, optimization techniques, and testing methodologies used in your previous projects.

📝 Enhancement Note: For this role, focus on demonstrating your leadership skills, as well as your technical expertise in cloud infrastructure, DevOps, and MLOps. Highlight your experience with AWS and Azure, as well as your ability to manage and grow a team of engineers.

💵 Compensation & Benefits

Salary Range: €80,000 - €120,000 per year (based on experience and qualifications). This range is estimated using regional market data and industry standards for engineering director roles in the cloud infrastructure and AI domains.

Benefits:

• Indefinite contract.
• Equal pay guaranteed.
• Variable performance bonus.
• Signing bonus.
• Work visa sponsorship (if applicable).
• Relocation package (if applicable).
• Private health insurance.
• Flexible remuneration: hospitality and public transportation.
• Eligibility for educational budget according to internal policy.
• Hybrid opportunity.
• Flexible working hours.
• Language classes and discounted lunch options.
• Working in a high-paced environment, working on cutting-edge technologies.
• Career plan and opportunity to learn and teach.
• Progressive company culture with a focus on happiness and diversity.

📝 Enhancement Note: The estimated salary range takes into account the location, experience level, and the specialized nature of the role. The benefits package is comprehensive and tailored to support the well-being and professional growth of the employee.

🎯 Team & Company Context

🏢 Company Culture

Industry: Multiverse Computing operates in the deep-tech industry, focusing on quantum software and AI. This role will have a significant impact on the company's growth and product offerings, as well as its position in the competitive landscape.

Company Size: Multiverse Computing is a well-funded, fast-growing company with over 180 employees. As an engineering director, you will play a crucial role in shaping the company's technical direction and growth.

Founded: 2019. The company has experienced rapid growth and has been recognized by CB Insights as one of the 100 most promising AI companies in the world (2023 and 2025).

Team Structure:

• The engineering team is organized into several sub-teams, including the Platform team, which this role will lead.
• The Platform team is responsible for cloud infrastructure, DevOps, and MLOps, and works closely with other teams, such as Research, Product, and Sales & Marketing.
• The team is fully multicultural and international, with a strong focus on collaboration and knowledge-sharing.

Development Methodology:

• The engineering team follows agile methodologies, with a focus on iterative development, continuous integration, and continuous deployment.
• The team uses tools such as Git, Jira, and Jenkins to manage their workflow and ensure high-quality software delivery.
• The company has a strong commitment to sustainability and ethics, with a focus on building a truly inclusive culture.

📝 Enhancement Note: Multiverse Computing's culture is characterized by its focus on innovation, collaboration, and sustainability. As an engineering director, you will play a crucial role in shaping the company's technical direction and growth, while also contributing to its unique culture and values.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the senior management level, with a focus on cloud infrastructure, DevOps, and MLOps. As an engineering director, you will have significant technical influence and be responsible for driving the company's cloud strategy and AI infrastructure.

Reporting Structure: This role reports directly to the CTO and is responsible for leading the Platform team. You will work closely with other engineering leaders, as well as with cross-functional teams, such as Product, Sales & Marketing, and Finance.

Technical Impact: As an engineering director, you will have a significant impact on the company's technical direction and growth. You will be responsible for designing and implementing the company's cloud infrastructure, as well as for managing the transition to a SaaS product.

Growth Opportunities:

• Technical Leadership: This role offers the opportunity to grow as a technical leader, with the potential to take on more responsibility and influence the company's technical direction.
• Team Management: As an engineering director, you will have the opportunity to grow and develop your team management skills, with the potential to take on more responsibility and expand your team.
• Product & Business Strategy: This role offers the opportunity to collaborate with product and business teams, contributing to the company's overall strategy and growth.

📝 Enhancement Note: This role offers significant growth opportunities, both in terms of technical leadership and team management. As an engineering director, you will have the chance to make a real impact on the company's growth and product offerings, while also growing as a professional.

🌐 Work Environment

Office Type: Multiverse Computing's office is a modern, collaborative workspace designed to facilitate innovation and knowledge-sharing. The office is equipped with state-of-the-art technology and tools to support the team's work.

Office Location(s): San Sebastián, Spain. The office is located in the heart of the city, with easy access to public transportation and nearby amenities.

Workspace Context:

• The workspace is designed to encourage collaboration and communication, with open-plan areas and dedicated meeting spaces.
• The team uses a variety of tools and technologies to support their work, including cloud-based platforms, version control systems, and project management tools.
• The company offers flexible working arrangements, with a focus on results and productivity.

Work Schedule: The work schedule is flexible, with a focus on results and productivity. The company offers a hybrid work arrangement, allowing employees to work from the office or remotely as needed.

📝 Enhancement Note: Multiverse Computing's work environment is designed to support collaboration, innovation, and productivity. As an engineering director, you will have the opportunity to shape the company's technical direction and growth, while also contributing to its unique culture and values.

📄 Application & Technical Interview Process

Interview Process:

1. Technical Screening: A technical phone or video call to assess your cloud infrastructure, DevOps, and MLOps skills. This may include a discussion of your experience with AWS and Azure, as well as your approach to team leadership and management.
2. On-site Interview: A visit to the company's office in San Sebastián, where you will meet with the CTO and other members of the leadership team. This may include a presentation of your portfolio and a discussion of your technical and leadership skills.
3. Final Decision: A final decision will be made based on your technical and leadership skills, as well as your cultural fit with the company.

Portfolio Review Tips:

• Highlight your leadership and technical skills, with a focus on cloud infrastructure, DevOps, and MLOps.
• Include case studies or blog posts detailing your experience with cloud infrastructure, AI solutions, and team leadership.
• Demonstrate your ability to manage and grow a team of engineers, with a focus on cloud infrastructure and AI solutions.

Technical Challenge Preparation:

• Brush up on your cloud infrastructure, DevOps, and MLOps skills, with a focus on AWS and Azure.
• Prepare for a discussion of your leadership and management skills, with a focus on team building, communication, and stakeholder management.
• Familiarize yourself with the company's products and services, as well as its mission and values.

📝 Enhancement Note: The interview process for this role is designed to assess your technical and leadership skills, as well as your cultural fit with the company. As an engineering director, you will have a significant impact on the company's growth and product offerings, as well as its technical direction and culture.

🛠 Technology Stack & Web Infrastructure

Cloud Platforms:

• AWS (Amazon Web Services)
• Azure (Microsoft Azure)

Infrastructure as Code (IaC) Tools:

• Terraform
• CloudFormation
• Azure Resource Manager (ARM)

Containerization & Orchestration:

• Kubernetes
• Docker

Monitoring & Logging:

• Prometheus
• Grafana
• ELK Stack (Elasticsearch, Logstash, Kibana)
• Datadog
• New Relic

CI/CD Pipelines:

• Jenkins
• GitLab CI/CD
• GitHub Actions

Version Control Systems:

• Git
• GitLab
• GitHub

Databases:

• PostgreSQL
• MySQL
• SQL Server
• Amazon RDS
• Azure SQL Database

Machine Learning & AI Tools:

• TensorFlow
• PyTorch
• scikit-learn
• AWS SageMaker
• Azure Machine Learning
• Google Cloud AI Platform

📝 Enhancement Note: Multiverse Computing uses a wide range of cloud platforms, infrastructure as code tools, and monitoring and logging solutions to support its cloud infrastructure and AI solutions. As an engineering director, you will be responsible for managing and growing the company's cloud infrastructure, as well as for ensuring the scalability and reliability of its AI solutions.

👥 Team Culture & Values

Web Development Values:

• Innovation: Multiverse Computing values innovation and encourages its team members to explore new technologies and approaches to problem-solving.
• Collaboration: The company fosters a culture of collaboration, with a focus on knowledge-sharing and teamwork.
• Sustainability: Multiverse Computing is committed to sustainability and ethical practices, with a focus on building a truly inclusive culture.
• Customer Focus: The company prioritizes customer needs and strives to deliver high-quality, user-centered solutions.

Collaboration Style:

• Cross-functional Integration: The engineering team works closely with other teams, such as Product, Sales & Marketing, and Finance, to ensure that technical solutions meet business needs and customer expectations.
• Code Review Culture: The team follows best practices for code review, with a focus on knowledge-sharing and continuous improvement.
• Mentoring & Knowledge-Sharing: Multiverse Computing encourages mentoring and knowledge-sharing, with a focus on supporting the professional growth of its team members.

📝 Enhancement Note: Multiverse Computing's culture is characterized by its focus on innovation, collaboration, and sustainability. As an engineering director, you will play a crucial role in shaping the company's technical direction and growth, while also contributing to its unique culture and values.

⚡ Challenges & Growth Opportunities

Technical Challenges:

• Cloud Infrastructure Management: Design, deploy, and maintain scalable cloud infrastructure on AWS and Azure, with a focus on cost optimization, security, and reliability.
• MLOps & AI Infrastructure: Develop and manage infrastructure to support machine learning and data analytics solutions, with a focus on scalability, performance, and cost optimization.
• SaaS Transition: Lead the company's transition to offering a SaaS product, ensuring a smooth and efficient process.
• Team Leadership: Build, manage, and grow a team of DevOps and MLOps engineers, with a focus on cloud infrastructure and AI solutions.

Learning & Development Opportunities:

• Technical Skill Development: As an engineering director, you will have the opportunity to grow and develop your technical skills, with a focus on cloud infrastructure, DevOps, and MLOps.
• Leadership Development: This role offers the opportunity to grow and develop your leadership skills, with a focus on team management, stakeholder communication, and strategic decision-making.
• Product & Business Strategy: As an engineering director, you will have the opportunity to collaborate with product and business teams, contributing to the company's overall strategy and growth.

📝 Enhancement Note: This role offers significant technical and leadership challenges, as well as opportunities for growth and development. As an engineering director, you will have the chance to make a real impact on the company's growth and product offerings, while also growing as a professional.

💡 Interview Preparation

Technical Questions:

• Cloud Infrastructure & DevOps:
  • Can you describe your experience with cloud infrastructure, with a focus on AWS and Azure?
  • How do you approach the design and deployment of scalable cloud infrastructure?
  • Can you discuss your experience with infrastructure as code tools, such as Terraform and CloudFormation?
  • How do you ensure the reliability and security of cloud infrastructure?
  • Can you describe your experience with containerization and orchestration, with a focus on Kubernetes and Docker?
• MLOps & AI Infrastructure:
  • Can you discuss your experience with machine learning and AI infrastructure, with a focus on scalability, performance, and cost optimization?
  • How do you approach the deployment and management of AI solutions in a production environment?
  • Can you describe your experience with AI-specific tools and frameworks, such as TensorFlow and PyTorch?
• Leadership & Team Management:
  • Can you discuss your experience with team leadership and management, with a focus on cloud infrastructure and AI solutions?
  • How do you approach stakeholder communication and collaboration, with a focus on cross-functional teams?
  • Can you describe your experience with mentoring and knowledge-sharing, with a focus on supporting the professional growth of team members?

Company & Culture Questions:

• Company Culture: Can you discuss your understanding of Multiverse Computing's culture and values, with a focus on innovation, collaboration, and sustainability?
• Technical Direction: How do you see yourself contributing to the company's technical direction and growth, with a focus on cloud infrastructure, DevOps, and MLOps?
• Product & Business Strategy: How do you see yourself contributing to the company's overall strategy and growth, with a focus on product development and business operations?

Portfolio Presentation Strategy:

• Cloud Infrastructure & DevOps: Highlight your experience with cloud infrastructure, with a focus on AWS and Azure. Include case studies or examples demonstrating your ability to design and deploy scalable cloud infrastructure.
• MLOps & AI Infrastructure: Highlight your experience with machine learning and AI infrastructure, with a focus on scalability, performance, and cost optimization. Include case studies or examples demonstrating your ability to deploy and manage AI solutions in a production environment.
• Leadership & Team Management: Highlight your experience with team leadership and management, with a focus on cloud infrastructure and AI solutions. Include case studies or examples demonstrating your ability to build, manage, and grow a team of engineers.

📝 Enhancement Note: The interview process for this role is designed to assess your technical and leadership skills, as well as your cultural fit with the company. As an engineering director, you will have a significant impact on the company's growth and product offerings, as well as its technical direction and culture.

📌 Application Steps

To apply for this Engineering Director - Platform (Cloud Infrastructure) position at Multiverse Computing:

1. Customize Your Portfolio: Tailor your portfolio to highlight your leadership and technical skills, with a focus on cloud infrastructure, DevOps, and MLOps. Include case studies or blog posts detailing your experience with cloud infrastructure, AI solutions, and team leadership.
2. Optimize Your Resume: Highlight your relevant experience and skills, with a focus on cloud infrastructure, DevOps, and MLOps. Include specific examples of your experience with AWS and Azure, as well as your approach to team leadership and management.
3. Prepare for Technical Challenges: Brush up on your cloud infrastructure, DevOps, and MLOps skills, with a focus on AWS and Azure. Prepare for a discussion of your leadership and management skills, with a focus on team building, communication, and stakeholder management.
4. Research the Company: Familiarize yourself with Multiverse Computing's products and services, as well as its mission and values. Prepare for a discussion of your understanding of the company's culture and your ability to contribute to its growth and success.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.