7 devops jobs found in Hybrid

We are looking for DevOps Engineer (m/f/d), location independent To support our IT team, we are looking for reinforcements immediately, regardless of location; partial mobile working is possible. Your tasks • Building, operating and automating cloud infrastructures (Azure) • Creation and maintenance of CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins) • Operation and optimization of containers and orchestration tools (Docker, Kubernetes) • Implementation of Infrastructure as Code (Terraform, Ansible) • Ensuring system security through the integration of DevSecOps practices • Monitoring, logging and error analysis (e.g. Prometheus, Grafana, ELK Stack) • Further development and optimization of development, testing and production environments • Collaboration with development teams in agile projects (Scrum, Kanban) Your qualifications • Completed studies in computer science, comparable...

Your tasks You will support our platform team in the further development of our cloud infrastructure as well as in the conception and implementation of new software components related to Meisterplan. Together with experienced developers, you will work on internal tools, dashboards and automations. You will help maintain and optimize our CI/CD pipelines using GitHub Actions. You can also contribute to the administration of our Kubernetes environment and the use of Terraform and AWS. With us, you'll learn about new technologies and tools in practice and have a real impact on our development processes. That's you You are studying computer science, business informatics or something similar and are keen to apply your knowledge in practice. Prior experience with TypeScript, React, cloud technologies, scripting, Docker or CI/CD is advantageous. You enjoy working in a team, are reliable, and show initiative. New topics don't scare you...

Do you want to apply AI in practice? With us, you'll work with real data, modern ML methods, and agentic AI systems – in interdisciplinary teams and with individual support.   Here's what you can expect from us: You will work on the development and improvement of AI applications, e.g. for intelligent data processing, decision support or automation. You will support the design, implementation, and evaluation of ML models as a basis for AI functionalities. You conduct literature research and develop prototypes to validate new approaches. You will study concepts and applications of agentic AI systems, e.g., autonomous decision logic, tool integration, and multi-agent architectures. You will work closely with our AI team and receive individual support. You have the opportunity to further develop your work in a bachelor's or master's thesis. You bring the following: You are a student in the field of computer...

We offer you: Innovative projects with room for your ideas and individual development opportunities Flexibility through remote work and flexible working hours A culture of appreciation with flat hierarchies and direct communication Further training opportunities and certifications in our Academy Attractive benefits such as team events, modern equipment and a balanced work-life balance Work-life balance Your tasks: Development and optimization of ML and deep learning models Building and maintaining MLOps pipelines (training, deployment, monitoring) Collaboration with data scientists and software developers Use of cloud technologies (AWS, Azure, GCP) for scalable solutions Performance tuning and monitoring of models during operation Your profile: Completed studies in computer science, data science, or a related field. Excellent knowledge of Python and common ML frameworks (TensorFlow, PyTorch, Scikit-learn)...

Your tasks We are looking for an experienced AI Engineer to join our growing AI team at Beroe X nnamu. You’ll play a key role in developing intelligent, agentic AI systems using cutting-edge large language models (LLMs), multi-agent orchestration, and retrieval-augmented generation (RAG). This is a hands-on role combining software engineering, ML/NLP expertise, and a passion for building next-gen autonomous agents. You’ll collaborate closely with AI leads, backend engineers, data engineers, and product managers to bring scalable and intelligent systems to life—integrated into real-world procurement and business applications. Key Responsibilities Design and implement agentic AI pipelines using LangGraph, LangChain, CrewAI, or custom frameworks Build robust retrieval-augmented generation (RAG) systems with vector databases (e.g., FAISS, Pinecone, OpenSearch) Fine-tune, evaluate, and deploy LLMs for task-specific applications Integrate...