3 software engineering jobs found in Frankfurt am Main

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)...