29 jobs found in Bad Homburg

Your tasks Your job involves being responsible for designing, developing, and automating our cloud infrastructures. You'll contribute your experience to set standards and take our DevOps practices to the next level. Here's a brief overview: As a (Senior) DevOps Engineer (all genders) you will develop and operate modern, scalable and secure cloud infrastructures (e.g. AWS, Azure, GCP). You design and optimize CI/CD pipelines and ensure that deployments are efficient, reliable and automated. You will take a leading role in architectural decisions, contribute best practices, and drive the standardization of DevOps processes. Working closely with our Cloud Engineers and Cloud Architects, you will develop future-proof, resilient and automated systems. You analyze complex technical challenges, derive improvement measures and implement them sustainably. Your profile You have successfully completed a degree or training in the IT field – or possess a comparable...

The  Viridium Insurance Group  specializes in the efficient management of life insurance portfolios. This means we acquire insurance companies and their policy portfolios, integrate them into our organization, and manage the contracts long-term. The Viridium Group includes Entis Life Insurance, Heidelberger Life Insurance, Proxalto Life Insurance, and Skandia Life Insurance. The Viridium companies manage 3.2 million life insurance contracts and assets totaling €68 billion. This makes Viridium one of the largest life insurance groups in Germany and contributes to ensuring that life insurance remains a reliable component of private retirement planning for millions of people. To expand the  Supporting Systems  department at our location Neu-Isenburg We are looking for a: Senior Software Engineer (Python / Life Insurance)* What it's about You will become part of a  newly formed, interdisciplinary team  in the...

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)...

Applications should be submitted exclusively online (via our application portal) with the usual documents – quoting the reference number – by December 17, 2025. Contact person for content-related questions: Prof. Dr.-Ing. habil. Björn Hein, Tel.: +49 721 9251942. Karlsruhe University of Applied Sciences - Technology and Economics, Human Resources Department, P.O. Box 24 40, 76012 Karlsruhe, Germany. Telephone: +49 721 9252391. Applicant management: Ms. Sarah Flügel, Telephone: +49 721 925-1051. Karlsruhe University of Applied Sciences is committed to increasing the proportion of female employees; qualified women are expressly encouraged to apply. Applicants with disabilities will be given preference if equally qualified. For further information, please contact the university's representative for employees with disabilities by email (sbv@h-ka.de). The Institute for Robotics and Autonomous Systems (IRAS) is seeking to fill the following temporary position to strengthen our team...

Our mission Do you want to reach the next level? Every generation has its own technologies that drive it forward. Our generation focuses on data, information, and information management. These topics will undoubtedly continue to be relevant for generations to come. Do you want to make a lasting impact and leave your mark together with areto? Then we're a perfect match! What we offer... Flexible working hours – made possible by our trust-based working time system Working from home or in a hybrid setting? No problem for us! Workation including travel budget - so you can decide where you prefer to work. Sensational onboarding and unforgettable areto moments at our team events, including regular big-bang buddy breakfasts. Growth together – we offer you an environment that you can actively shape. With us, you can combine flexibility, personal responsibility, and entrepreneurial thinking. Onward, ever onward – the development of our aretolers is important to us!...

Are you ready to be a technology leader in the SaaS space? Join  epilot  ! For this role, we're seeking a  Software Engineer  who loves building  robust, production-grade integrations  between epilot and our customers' IT landscapes. epilot is building a SaaS product to sell complex products online, focusing on solving ecommerce in the rapidly transforming energy market. Our mission:  Make selling complex energy products as easy as selling a pair of shoes online. As a Software Engineer - Integrations at epilot, you'll be a key driver of this mission by ensuring that epilot plugs seamlessly into ERPs, CRMs, billing systems, and other tools used by our customers – reliably, securely, and at scale. Our engineering culture is shaped by a few core principles: Freedom & responsibility  – we hire smart people we trust. We operate by principles and expect our teams to cultivate a strategic mindset....

About Us At iits, we offer our clients customized software solutions because every company is unique and has its own goals and challenges. We achieve this through the technical expertise of our teams, who optimize our clients' business processes daily and enable tailored digitalization. Our mission is to bring visions to life, understand individual requirements, and develop innovative software. Your tasks Are you familiar with cloud-native technologies and experienced in deploying modern software using GitOps principles? Are you keen not only to automate infrastructure but also to develop your own tools and operators in Go? Then become our new   Cloud Engineer   (all genders)! The position is   available   immediately   and   remotely from anywhere in Germany. Your profile You know how to build a Docker image and develop a Kubernetes deployment from it. You define infrastructure as code – instead of clicking it together in a UI. Tools like Terraform or...

YOUR BRILLIANT FUTURE IN TECH IS NOW Welcome to the world of Zoi. We are those who build the digital evolution of our enterprise customers, closing the gap between enterprise IT and new technologies. Zoi strives to bring the cloud to the Retail and Manufacturing industries with innovative solutions that deliver real value. We are expanding our European teams in Stuttgart, Berlin, Lisbon, Barcelona, ​​Figueres, Sevilla, and Las Palmas. Just choose your favorite Zoi city! Travel between our locations is possible. WHAT YOU DO You analyze the needs of our customers and identify business opportunities for the application of AI solutions. You use and integrate AI into the business systems of our customers by creatively applying data science methods, machine learning and generative AI. You will work in an interdisciplinary team with data scientists, software developers and other IT experts to integrate AI technologies into existing and new applications....

Fashion and lifestyle, 6,500 employees, 13 department stores, online shops in Germany, Poland, Austria, Belgium, Luxembourg, Spain, Italy, the Czech Republic, the Netherlands, and Switzerland, over 2,000 brands, 25 restaurants and confectioneries, 15 premium services, three hair salons, and always a special shopping experience – that's Breuninger. A traditional company that is pursuing international avenues, clearly defining its goals, and creating innovative opportunities. Job description As a  Cloud/AI Platform Engineer (m/f/d),  you will shape the future of our AI-driven cloud infrastructure and enable over 40 teams to access state-of-the-art cloud and AI technologies. You will be responsible for all Google Cloud Platform (GCP) activities within our organization and help us build the next generation of intelligent cloud platforms. GenAI Infrastructure & Cutting-Edge Technologies You will assist in the development and operation of ...

  As an IT service provider, we drive the digitalization of the public sector and create real added value for millions of people in Germany. We excel at many things, but not everything. That's why we're always looking for new colleagues who want to make a difference with their ideas, skills, and commitment. Does this sound like you? Then help shape the world for the better and become part of our Customer Cluster Tech Services. YOUR MISSION As a  Senior NixOS / DevOps Engineer & Architect  (m/f/d),  you will support our customers in building modern, declarative and highly automated software and infrastructure processes and empower teams to establish reproducible development, build and deployment environments. Your tasks Consulting and implementation in the Nix and NixOS environment: from architecture reviews and the design of modern system landscapes to the productive introduction of declarative environments....

Your tasks As a Data Scientist at AIPERIA, you'll develop the AI ​​models that ensure bakeries and food retailers only produce what's actually sold. You'll work with real sales, weather, event, and other data, build robust forecasting models, and ensure our recommendations are scalable, stable, and demonstrably value-adding in practice. Together with us, you'll reduce food waste and improve profitability in the retail sector. Your tasks Development & further development of ML models:  You design, implement and improve forecasting models for inventory optimization in bakeries and the food trade. Feature Engineering:  You develop new features (e.g., based on weather, event, or product range data) and test their impact on forecast quality. Retraining, Monitoring & MLOps:  You plan and conduct regular retrainings and establish monitoring to detect data and model drift early. Data Pipelines & Production Readiness:  You...