At BASF Digital Hub Madrid we develop innovative digital solutions for BASF, create new exciting customer experiences and business growth, and drive efficiencies in processes, helping to strengthen BASF´s position as the digital leader in the chemical industry. We believe the right path is through creativity, trial and error and great people working and learning together. Become part of our team and develop the future with us - in a global team that embraces diversity and equal opportunities.

JOIN THE TEAM

We as Global Digital Services enable BASF´s digitalization and adoption of artificial intelligence. In agile teams, we develop innovative solutions for BASF and its customers, create new exciting customer experiences and business growth, and drive efficiency in processes. We provide IT that works and offer knowhow and access to the latest technologies.

RESPONSIBILITIES

Our team of experts in artificial intelligence with focus on Generative AI, natural language processing, graph technologies and distributed computing realizes solutions and components to maximize the business value from AI and speed up innovation. We are seeking an experienced Cloud DevOps Engineer with a strong background in setting up and managing environments for novel AI solutions to join our growing team of AI Enthusiasts. In this role, you will play a critical part in advancing our AI innovation initiatives in two phases: first enabling fast exploration of novel concepts to verify feasibility of groundbreaking approaches in our AI lab and second in maturing those in our tech center for handover to operations based on a robust, secure, scalable, and efficient cloud infrastructure, preferably using Microsoft Azure Cloud services. If you are passionate about Large Language Models and agentic systems, and AI solutions in general, have a strong background in cloud engineering and enjoy bringing cutting-edge developments to value generation, we want to hear from you!

As a Senior DevOps Engineer, you will work in close collaboration with domain experts, cross-functional and digital product teams and you will be responsible for:
- Designing, implementing, and maintaining cloud-based infrastructure for fine-tuning, (re)training and deploying LLMs, other state-of-the-art AI models, and agentic systems in a fast-moving innovation environment
- Collaborating with AI researchers, data scientists, and other stakeholders to understand infrastructure requirements and optimize resource utilization, esp. for novel approaches
- Automating and streamlining the deployment, monitoring, and scaling of AI models and AI applications within Microsoft Azure
- Ensuring the security, reliability, and performance of the infrastructure, including data storage, compute resources, and network configurations
- Continuously improving and optimizing the infrastructure to support the development and deployment of state-of-the-art AI systems
- Sharing your knowledge and expertise with colleagues and promoting a culture of innovation and excellence within the organization

QUALIFICATIONS

- Degree in Computer Science, Information Technology, or a related field
- Excellent problem-solving, critical thinking, and communication skills
- Combination of explorer´s and builder´s mindset to make groundbreaking ideas possible and operational
- Strong experience with cloud platforms, preferably Microsoft Azure, including services such as Azure Machine Learning, Azure Kubernetes Service, and Azure Storage
- Proficient in infrastructure as code (IAC) tools, such as Terraform or ARM templates, and configuration management tools like Ansible or Chef
- Solid experience with script languages like Bash or Python
- Solid understanding of DevOps principles, practices, and tools, including continuous integration, continuous deployment, and monitoring
- Familiarity with containerization technologies such as Docker, and orchestration tools like Kubernetes or Docker Swarm
- Continuous learning to keep up with the rapid technological developments in the field

Bonus Points
- Proven track record of successful infrastructure operations, preferably in an industrial or corporate research setting
- Relevant certifications, such as Microsoft Certified: Azure DevOps Engineer Expert or Azure Administrator Associate
- Experience with other cloud platforms, such as AWS or Google Cloud
- Prior experience working with large language models or AI infrastructure
- Knowledge of data engineering and preprocessing, including handling large datasets and ensuring data quality
- Familiarity with AI ethics and responsible AI practices

BENEFITS

- A secure work environment because your health, safety and wellbeing is always our top priority.
- Flexible work schedule and Home-office options, so that you can balance your working life and private life.
- Learning and development opportunities
- 23 holiday days per year
- 5 additional days (readjustment)
- 2 cultural days
- A collaborative, trustful and innovative work environment
- Being part of an international team and work in global projects
- Relocation assistance to Madrid provided

At BASF, the chemistry is right.

Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability or belief.