[KWA-61] Cloud DevOps Engineer
hace 2 semanas
ABOUT USAt 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.WHAT YOU CAN EXPECTDigitalization will be a true part of BASF’s DNA that creates new exciting customer experiences and business growth as well as drives efficiencies in processes.Global Digital Services is supporting BASF business in Digitalization transformation. Our mission is to drive forward the digital transformation of BASF, providing innovative, global and high-quality digital products and services through a strong agile culture. The Digital Hub Madrid is one of our global key locations to deliver regional and global solutions for BASF.Within our Product Family Digital Commerce & Advisory, we enable the digitalization of the way we interact with our customers. Our team “AI for Commerce” is providing solutions that create new levels of user experience and high degrees of automation, using the latest innovations in AI. We work innovatively with high quality standards to provide an exciting customer experience. We value reliability, trust, transparency, and a great working culture. We strive for Commitment, Focus, Openness, Respect, and Courage on all levels.We are currently seeking an experienced Cloud DevOps Engineer with a strong background in setting up and managing infrastructure for AI solutions to join our growing team of AI Enthusiasts. In this role,you will play a critical role in advancing our AI initiatives by creating a robust, secure, scalable, and efficient infrastructure for our large-scale AI solutions, preferably using Microsoft Azure Cloud services. If you are passionate about Large Language Models and AI in general, have a strong background in Cloud Engineering, and enjoy working on cutting-edge topics, we want to hear from youRESPONSIBILITIESDesigning, implementing, and maintaining cloud-based infrastructure for fine-tuning, (re)training, and deploying large language models and other state-of-the-art AI models.Collaborating with AI researchers, data scientists, and other stakeholders to understand infrastructure requirements and optimize resource utilization.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 models.Sharing your knowledge and expertise with colleagues and promoting a culture of innovation and excellence within the organization.QUALIFICATIONSDegree in Computer Science, Information Technology, or a related field.Excellent problem-solving, critical thinking, and communication skills.Strong experience with cloud platforms, preferably Microsoft Azure, including services such as Azure Machine Learning, Azure Kubernetes Service, and Azure Storage.At least 5+ years’ experience in DevOps with Cloud administration.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.Strong operational experience with Linux.Strong debugging and troubleshooting skills.NICE TO HAVEProven 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.BENEFITSA 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.
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