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

On-siteMidMLOpsJust posted

✦Role summaryAI-generated

This role focuses on architecting and maintaining a scalable, self-service data and ML platform (UDL) at Bosch Research, bridging technical implementation with business alignment while ensuring seamless integration with lab systems and governance tools. The engineer will drive cloud provisioning on Azure using Terraform and collaborate on technical documentation to support global adoption.

About this role

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

Qualifications

What distinguishes you:

Education:
• BSc, MSc or Ph.D. in Software Engineering, Computer Science, or a related field.

Experience:
• 3 years of experience as DevOps Engineer, Cloud Engineer, Site Reliability Engineer,
Platform Engineer, or similar roles.
• 3 years of experience designing, implementing, integrating, and maintaining CI/CD
pipelines.
• 1 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.