Research Engineer – DevOps, AI Factory (RE3)

• Education
  • BSc or MSc in Computer Science, Computer Engineering, Telecommunications, or similar.
• Essential Knowledge and Professional Experience
  • Experience administering Linux systems in production environments.
  • Experience with containerization and orchestration (Docker; Kubernetes is a plus).
  • Experience with infrastructure-as-code and configuration management tools and CI/CD pipelines.
  • Experience deploying and operating web applications and services (backend services, databases, reverse proxies).
  • Experience implementing security controls: access management, network segmentation, encryption, logging and monitoring.
  • Good fluency in both spoken and written English.
• Competences
  • Strong scripting and programming skills (e.g., Python, Bash).
  • Good knowledge of networking and system security fundamentals.
  • Good communication skills for effective collaboration across teams.
  • Ability to work both independently and within a team.
  • Rigorous and highly organized, with attention to documentation.

• Additional Knowledge and Professional Experience
  • Knowledge of identity federation protocols is a plus.
  • Familiarity with information security standards (ISO 27001) or secure research environments (TRE, Five Safes) is a plus.
  • Experience with HPC environments and job schedulers (e.g., Slurm) is a plus.
  • Experience with web development (JavaScript, React, or similar frontend frameworks) is a plus.
  • Knowledge of REST API design and integration.

• 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
• 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

Reference: 366_25_AII_DI_RE3

Job title: Research Engineer - DevOps, AI Factory (RE3)

The Barcelona Supercomputing Center (BSC) is seeking a Research Engineer to join the AI Institute as part of the AI Factory initiative. The AI Factory is a European project accelerating AI adoption across industry sectors, particularly supporting SMEs and startups while strengthening the European innovation ecosystem.

The AI Factory, which utilizes MareNostrum5's specialized AI partition, relies on the secure and efficient management, sharing, and analysis of diverse and often sensitive datasets, including public administration and health data. The Data Innovation Group designs and delivers the Data Services that support this ecosystem: Data as a Service, Data Discovery, Data Stewardship, Model and Dataset Publication, and Trusted Research Environments (TREs) for sensitive data.

This role will contribute to the infrastructure and security work behind this service portfolio. The work covers three complementary areas: deployment and operation of TRE platforms, including the integration of an external certified TRE service, support for internally developed platforms, and a secure HPC environment on the MareNostrum5 AI partition; development and deployment of the group's internal platforms and tooling, such as a research data hub for dataset and model publication and HPC workflow automation services, which are being scaled from AI Factory use to center-wide services.

This position provides an opportunity to build secure data infrastructure and research platforms at supercomputing scale, combining infrastructure automation, platform engineering, and information security practices, and supporting AI adoption across European public and private sectors.

• Contribute to the development, deployment, and operation of internal data platforms and tooling, including web-based services for dataset and model publication and workflow automation pipelines on HPC infrastructure.
• Contribute to the development, deployment, and operation of TRE platforms and their supporting infrastructure, including virtualized environments, containerized services, and isolated HPC partitions.
• Implement security controls across data services environments, including identity and access management, encryption at rest and in transit, and audit logging.
• Automate infrastructure provisioning, configuration management, deployment, and monitoring using infrastructure-as-code and CI/CD practices.
• Integrate platforms with BSC institutional systems, in coordination with the Operations department (identity management, networking, monitoring, incident response).
• Support secure data ingress and egress workflows, including staging areas, pseudonymization services, and output control tooling.
• Provide technical support to researchers and AI Factory users working with the data services and TRE platforms.
• Contribute to documenting architectures, procedures, and best practices for platform operations and secure data handling.

• The position will be located at BSC within the Management Department
• Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
• Starting date: asap

The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.