LogoKode$word
Boschgroup logo
Verified Tech Role

DevOps Engineer - Data & Machine Learning Platform (f/m/div.)

Worldwide (On-site)On-sitefull timeMid-LevelPosted 12 days ago

About the Role

Work #LikeABosch means: ⚖️ Flexible work conditions 🔀 Hybrid work system 🌐 Exchange with colleagues around the world 🧑‍⚕️ Health insurance and medical office on site 📚 Training opportunities 📈 Opportunities for career progression and continuous professional development 💲 Access to great discounts in partnerships and Bosch products 🏋️ Sports and health related activities 🚉 Great access to public transports 🅿️ Free parking lot 🍽️ Canteen Success stories don´t just happen. They are made... Make it happen! We are looking forward to your application!

  • Your contribution to something big: UDL Strategy & Architecture:
  • Help design, develop and maintain the Unified Data Layer (UDL), a large-scale data and ML platform for Bosch Research, ensuring alignment with business objectives, constraints, and best practices.
  • Collaborate on the technical design of UDL, making it into a global, self-service environment for data discovery, exploration and curation, focused on improving data discovery through effective interoperability with key systems and lab equipment of Bosch Research, and integration with a data governance platform.
  • Support the architects with the development and maintenance of comprehensive documentation of UDL, underlying infrastructure and user manual. Implementation:
  • Help design, implement, provision, and maintain the UDL and its cloud resources on Azure using Terraform.
  • Drive Proof-of-Concept activities to expose UDL to corporate agentic platforms and data catalogues.
  • Drive the implementation of strong CI/CD processes across the different platform components and infrastructure.
  • Implement robust security measures to protect sensitive endpoints, data, ML models, and other artefacts.
  • Help with the onboarding of on-prem equipment as connected data sources for UDL.
  • Implement monitoring dashboards and alerts to proactively identify and resolve platform issues. Collaboration & Leadership:
  • Communicate effectively with stakeholders at all levels, including technical and non-technical audiences.
  • Work closely with researchers, infrastructure teams, and project management to deliver high-quality data and ML platform.
  • Promote DevOps principles and best practices, lead their implementation, and share knowledge within the team.
  • Stay up to date with the latest DevOps trends and technologies and push for state-of-the-art approaches.
  • Participate in code reviews and contribute to the development of best practices
  • What distinguishes you: Education:
  • BSc, MSc or Ph.D. in Software Engineering, Computer Science, or a related field. Experience:
  • Years of experience as DevOps Engineer, Cloud Engineer, Site Reliability Engineer, Platform Engineer, or similar roles.
  • Years of experience designing, implementing, integrating, and maintaining CI/CD pipelines.
  • Year of experience with Azure on professional applications. Technical Skills:
  • Excellent understanding of DevOps principles and practices.
  • Very good scripting and automation skills with Python and Bash.
  • Very good understanding of Terraform and GitHub Actions.
  • Good understanding of Kubernetes-based solutions.
  • Good understanding of Cloud Networks for security and load balancing.
  • Proficient with GNU/Linux systems as key development environment. Soft Skills:
  • Excellent problem-solving skills and resourceful attitude.
  • Effective communication skills, team player, and capable of collaborating across functional areas.
  • Proactive, customer and result-oriented personality.
  • B2 CEFR level in English, written and spoken. Nice to have:
  • Experience with Agentic Workflows on professional applications.
  • Experience managing on-prem systems and/or corporate networks.
  • Experience working in Agile/SAFe environments.
  • Experience with OpenTofu.
  • B2 CEFR level in German, written and spoken.