AI Factory Engineer - DevOps/MLOps

Barcelona Supercomputing Center; Barcelona; On-site; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Restaurant tickets

Private health insurance

Relocation support

Job summary

The Barcelona Supercomputing Center (BSC) is seeking an AI Factory Engineer - DevOps/MLOps to scale AI services from experiment to production. You will design and run CI/CD pipelines, automate infrastructure, monitor systems, and manage model registries while collaborating with AI engineers, platform teams, and security teams.

The role emphasizes reliability, observability, and operational excellence in a fast-evolving AI and cloud environment.

Qualifications

• Bachelor's or Master's degree in a technical field.
• 3–5 years of DevOps/MLOps or related experience in production.
• Experience designing and operating CI/CD pipelines.
• Experience with Docker and Kubernetes in production.
• Knowledge of IaC, monitoring, and observability.

Responsibilities

• Design, implement, and maintain CI/CD pipelines for AI/ML solutions.
• Support deployment, versioning, release management, and rollback processes.
• Implement monitoring, logging, alerting, and observability for AI systems.
• Manage model registries and experiment tracking platforms.
• Automate infrastructure provisioning and operational workflows.

Skills

DevOps

MLOps

CI/CD

Kubernetes

Docker

Automation

Observability

SRE

Troubleshooting

Automation

Education

Bachelor's or Master's in Computer Science

Related technical discipline

Tools

Docker

Kubernetes

Kubeflow

MLflow

Airflow

ArgoCD

Job description

Job Reference: 331_26_DIR_IBD_DevOps

Closing Date: Saturday, 31 October, 2026

Job title

AI Factory Engineer - DevOps/MLOps

About BSC

The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries.

Equity, Diversity and Inclusion

We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under‑represented sex will be favoured. We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences. If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.

Context And Mission

The AI Factory is scaling the adoption of AI solutions from experimentation to production. To support this growth, we are looking for a DevOps/MLOps Engineer who will provide the operational foundations required to deploy, monitor, maintain, and scale AI services reliably and efficiently. The role will be responsible for implementing deployment pipelines, automation, monitoring, environment management, and operational best practices for machine learning and generative AI systems. Working closely with AI engineers, platform teams, infrastructure specialists, and security teams, the successful candidate will help ensure that AI solutions are reproducible, observable, secure, and production‑ready. The mission of this role is to accelerate the operationalization of AI by providing robust MLOps and DevOps capabilities that enable reliable, scalable, and maintainable AI services.

Key Duties

• Design, implement, and maintain CI/CD pipelines for AI and machine learning solutions.
• Support deployment, versioning, release management, and rollback processes for AI services.
• Implement monitoring, logging, alerting, and observability capabilities for AI systems and infrastructure.
• Manage model registries, experiment tracking platforms, and deployment metadata.
• Automate infrastructure provisioning, configuration management, and operational workflows.
• Collaborate with AI engineers, platform teams, security teams, and cloud administrators.
• Support environment standardization, reproducibility, and operational best practices.
• Define operational procedures, runbooks, and incident response processes.
• Support troubleshooting, performance optimization, and continuous improvement of production AI services.
• Contribute to MLOps, DevOps, and platform engineering standards across the AI Factory.

Requirements

Education

• Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Telecommunications Engineering, Information Systems, or a related technical discipline.

Essential Knowledge and Professional Experience

• 3–5 years of experience in DevOps, MLOps, Platform Engineering, Site Reliability Engineering (SRE), or related roles.
• Experience designing and operating CI/CD pipelines in production environments.
• Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.
• Knowledge of Infrastructure as Code (IaC) practices and automation frameworks.
• Experience with monitoring, logging, observability, and alerting solutions.
• Understanding of machine learning and generative AI deployment lifecycle requirements.
• Experience with model registries, experiment tracking tools, and release management processes.
• Knowledge of security, access control, environment management, and operational governance.
• Strong troubleshooting, automation, and operational problem‑solving skills.

Additional Knowledge and Professional Experience

• Experience supporting LLM, RAG, or Generative AI platforms.
• Familiarity with MLflow, Kubeflow, Airflow, ArgoCD, or similar MLOps ecosystems.
• Experience in HPC, scientific computing, or large‑scale AI infrastructures.
• Experience supporting multi‑tenant AI platforms and shared services environments.
• Experience working across infrastructure, AI, security, and platform teams.
• Adaptability in a fast‑evolving AI and cloud technology environment.
• Strong DevOps, MLOps, and automation skills.

Competences

• Ability to build reliable, scalable, and maintainable operational environments.
• Strong analytical and troubleshooting capabilities.
• Proactive, autonomous, and results‑oriented mindset.
• Strong focus on reliability, observability, and operational excellence.
• Commitment to continuous improvement and automation.

Conditions

• The position will be located at BSC within the Directors Department
• We offer a full‑time contract (35h/week), a good working environment, a highly stimulating environment with state‑of‑the‑art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
• Duration: Open‑ended contract due to technical and scientific activities linked to the project and budget duration
• Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement
• Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
• Starting date: 16/07/2026

Development of the recruitment process

1. Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
2. Interview phase: The highest‑rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.

The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women. In accordance with OTM‑R principles, a gender‑balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process. The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile. At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact [e-mail].

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