(Senior) Network & DevOps Engineer (m/f/d)
(Senior) Network & DevOps Engineer (m/f/d)
<body> <h1>(Senior) Network & DevOps Engineer (m/f/d)</h1> <h2>UnternehmerTUM GmbH, Garching bei München</h2> <p> About the appliedAI Initiative appliedAI is the largest AI Initiative for the application of AI technologies in Europe aiming to lift Germany to the AI age. We are a Team of 30, working closely with our world leading partners (among others Google, NVIDIA, Intel, Cisco, IBM, Siemens and others...) to bring AI Solutions to market quickly and further the adoption of AI technology. We are part of the UnternehmerTUM network, one of the leading innovation centers in Europe, which serves as a neutral platform for entrepreneurship and innovation with more than 200 employees serving more than 100 startups, and working together with over 100 companies of all sizes (SMB to DAX). We operate of state of the art cluster based on technology from our partners and write a new and challenging software stack to support the development process of an emerging role: The AI Engineer. We believe that DevOps will change. GitOps and MLOps is a term that is getting traction. We are therefore looking for a (Senior) Network & DevOps Engineer (m/f/d) We are looking for an infrastructure engineer with additional solid knowledge of networking to help our team transform the AI strategy of our partner companies You and the team will be responsible both for hardware at our datacenter and software supporting our machine learning infrastructure You understand and can manage routers and firewalls with security in mind You will help co design and build heterogeneous, multi tenant clusters for machine learning tasks, running on Kubernetes and handling GPU heavy workloads Working as part of the engineering team you will re design DevOps for data science and machine learning, making our mission of "lifting Germany to the AI age" possible Your profile You bring in solid understanding of, and experience with infrastructure as code, kubernetes clusters and application deployment automation and testing You should have the ability to deploy, maintain and troubleshoot network infrastructure devices As a self starter you are able to work independently but are comfortable working in a team environment with your colleagues You should have University degree or equivalent work experience of at least x years Experience with systems installation, configuration and administration of routers/switches Experience with L 2 L 4 Networks (L 2 switching architectures including Spanning Tree, IP routing that includes OSPF and BGP, and L 4 Load balancing) Network authentication ( LDAP, SAML) Experience in some of the following Ansible, Chef, Puppet, Terraform, Vagrant, ESXi Experience in some of the following Mesosphere DC/OS, Spark, Kubernetes, Docker Experience maintaining internet facing applications (virtualized containerized environments) Good analytical and problem solving skills Good communication skills Ability to work autonomously and in an international team context Fluent English Some of the companies that are our members: Who you'll join We are a highly qualified and motivated team of ~30 people driven by the vision to advance the German AI Landscape holistically. Our team covers deep expertise in latest AI algorithms and engineering of AI algorithms as well as vast experience in strategy consulting, mostly McKinsey. We are combining these capabilities to holistically address AI adoption from a technological as well as strategic perspective. Apart from being a part of this diverse, highly motivated and qualified team of AI enthusiasts, we offer the following: Opportunity to work on a variety of projects and developing new, original content based on the latest developments in AI and its adoption in businesses Want to learn about robotics, autonomous drones or smart factories? All of this is happening at appliedAI You will have access to the newest technologies in the AI domain, budget to drive the education program and peers to develop with An atmosphere that encourages to think and experiment in new ways with software, hardware, and processes Hottest topics of the next decade and freedom and trust to initiate own activities A highly visible initiative that helps you build a large and high level network of start ups, partners, and tech companies Budget to visit important conferences, read up on papers and develop your skills with the team. Internal seminar in machine learning and computer science Pick your own hardware Free fruit, coffee, snack etc. (Optional) after work Fridays and monthly Some of the companies we work with: </p> </body>