3 beste Stellen als devops engineer in reutlingen – aktuell auf Personalsuche

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AI Data Scientist (m/f/d)
BayWa r.e. Solar Energy Systems GmbH —Tübingen
Expertise in feature engineering, data preparation and data quality assessment. Experience with data processing and pipelines. What We Are Ready To Offer You.
Data Scientist, Senior Manager
Booz Allen Hamilton —Stuttgart
10+ years of experience in data engineering, application development, data science, or a technical field. Work with us to lead data and AI innovation for good.
162.800 € – 303.000 € pro Jahr
3 Tage

devops engineer jobs near reutlingen

Designing and taking ownership of domain-driven services on AWS, from API design through to production operations.
Implementing self-contained services, including the full range from Infrastructure as Code, CI/CD and application code up to monitoring, logging, and security controls.
Building type-safe APIs and publishing SDK packages and supporting tools such as CLIs and frontend applications.
Designing data and processing workflows for handling and analyzing large volumes of data, including automated management of metadata and storage, to support AI-driven systems.
Continuously improving system reliability, observability, performance, and developer experience.
Supporting teams with architecture, infrastructure, and automation challenges and collaborating with cross-functional AI, robotics, and product teams.

5+ years of experience developing modern software systems in a DevOps-oriented environment.
Strong programming skills, ideally in TypeScript and Python.
Solid understanding of software architecture and system design, e.g. domain-driven design, self-contained/service-oriented systems, and clean architecture.
Experience working with cloud platforms, ideally AWS, with deep expertise in serverless and managed cloud services being a strong plus.
Practical experience with Infrastructure as Code (e.g. AWS CDK, Terraform, or similar frameworks).
Experience with CI/CD systems such as GitLab CI, including build, test, and deployment automation.
Strong experience with Linux-based development and deployment environments and container technologies such as Docker.
Experience with ROS or robotics software stacks is a plus
Strong English communication skills, German is a plus.