DevOps Engineer – Unified Data Layer (UDL) (f/m/div.)
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Job Description
Platform Engineering & Operations
• Provision, configure, operate, and maintain the UDL platform and its cloud resources on Microsoft Azure using Terraform, following established platform architectures and infrastructure patterns.
• Implement, maintain, and improve CI/CD pipelines and automation workflows to ensure reliable deployment and operation of platform components and infrastructure.
• Support the deployment, configuration, and maintenance of containerized applications and services, including Docker- and Kubernetes-based environments.
• Troubleshoot failed deployments, infrastructure changes, application issues, and operational incidents, contributing to root-cause analysis and long-term solutions.
• Monitor platform health, investigate logs and performance issues, and contribute to improving platform reliability, availability, and performance.
• Maintain monitoring dashboards, alerts, operational scripts, and other tooling to proactively identify and resolve platform issues.
• Contribute to platform security by maintaining secure configurations, access controls, credentials, network connectivity, and addressing security findings.
• Maintain and automate technical documentation of infrastructure configurations, deployment procedures, and operational processes.
Infrastructure Integration & User Support
• Act as a technical contact person for researchers and other Bosch colleagues using UDL, helping them connect their systems, equipment, and local development environments to the platform.
• Support the onboarding and integration of on-premises laboratory equipment, physical PCs, and other local systems as connected data sources for UDL.
• Investigate and troubleshoot local-to-cloud connectivity issues, including DNS, routing, VPNs, proxies, firewalls, SSH, certificates, and network configurations.
• Provide hands-on technical support for users encountering issues with UDL, its associated tools, and integrations, taking ownership of troubleshooting and coordinating with other team members when necessary.
• Help researchers configure and troubleshoot secure access to UDL, including authentication mechanisms, credentials, access permissions, and connection settings.
• Support the development and maintenance of local-to-cloud connection workflows, including automation of recurring setup and configuration tasks.
• Maintain clear technical documentation, troubleshooting guides, FAQs, and self-service onboarding instructions to improve the user experience and reduce recurring support requests.
Collaboration & Continuous Improvement
• Work closely with researchers, laboratory engineers, infrastructure teams, and the UDL development team to resolve technical issues and improve platform usability and reliability.
• Work as part of a cross-functional engineering team, collaborating with data engineers and other platform engineers to provide technical support to UDL users and ensure effective handling of user requests and technical issues.
• Support Proof-of-Concept activities involving local developer workflows, API integrations, corporate AI platforms, and data catalogues.
• Gather user feedback, identify recurring technical problems, and translate them into actionable improvements to platform operations, connectivity, and developer experience.
• Follow DevOps principles and best practices and contribute to the continuous improvement of platform operations and agentic development workflows.
• Stay up to date with relevant DevOps, cloud infrastructure, networking, automation, and developer tooling technologies
Requirements
Function: Engineering
Experience Level: Mid-Senior Level