(Senior) Cloud DevOps Specialist // SAP SE

March 2, 2017

The SAP Innovation Center Network is a strategic innovation entity within SAP. In nine locations around the globe, it combines the best of two worlds: the creativity and agility of startups with the backbone of a world market leader in business software. The Innovation Center Network is driven by the collaboration of more than 450 engineers, designers, product experts, and business developers.

Your tasks include:

  • Define, configure & maintain deployment/delivery pipelines of Machine Learning microservices in SAP’s cloud infrastructure
  • Work together with development teams to improve the overall development productivity
  • Install & Manage RDBMS and NoSQL databases
  • Efficiently automate cloud operations
  • Perform agile prototyping to evaluate which solution fits best for cloud operations
  • Perform zero-downtime deployments across multiple globally distributed landscapes
  • Maintain high-availability, performance and scalability of microservices


You are a self-starter, lean startup-minded, and born for life in fast paced environments. As an ideal candidate, you will demonstrate a proven track record of enterprise-grade product releases preferably as cloud-based solutions.


  • Good understanding of operational challenges such as capacity planning, load balancing and infrastructure monitoring
  • Operational knowledge of at least one Linux distribution such as Redhat, Ubuntu, CentOS, CoreOS
  • Familiarity with infrastructure automation tools such as Chef, Puppet, terraform, cloudformation, Ansible
  • Hands-on experience on continuous integration and build tools like Jenkins, Travis CI
  • Experience in working with Cloud Foundry, AWS, Azure, SAP Cloud Platform or other container/PaaS technologies
  • Strong bash/shell scripting skills
  • Experience working with Git
  • Excellent understanding of agile software development principles
  • Excellent communication and interpersonal skills
  • Excellent English language skills
  • Team player


  • Operational knowledge of nginx, Apache HTTP Server, Tomcat, Node.js
  • Experience with cloud virtualization and resource management solutions, (e.g. Docker, Mesos, Kubernetes)
  • Exposure to Big Data technologies like Hadoop and Spark
  • Experience with database administration


  • 3+ years of experience in relevant roles.
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