Senior DevOps Engineer - Customer Experience & Solutions

Shanghai, China



Requisition ID: 284898
Work Area: Software-Design and Development
Expected Travel: 0 - 10%
Career Status: Professional
Employment Type: Regular Full Time



SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.

SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives.


Customer Experience & Solutions (CXS) is a part of the Product Engineering (PE) Board Area of SAP. In CXS, each team closely collaborates and takes responsibility for global cloud application development, quality management, enterprise standard compliance, continuous delivery, and cloud native operation. By close cooperation with each project team, we help CXS to continuously innovate in cloud application architecture, delivery, services transformation, and to continuously improve customer experience by offering highly automatic predictive supports with cloud applications running on SAP ConvergedCloud (CCloud, our internal IaaS), SAP opensource Gardener (our managed K8S), SAP Business Technology Platform (BTP, our commerce PaaS), and Hyperscaler partners.

Quality, Operation & Delivery (QOD) is an important team for transformation and innovation. We provide Packaged Business Capability, by practicing DevOps culture, supporting development teams and data-scientists by providing Kubernetes (K8S) Cloud platform based on various cloud infrastructures, implementing both open-source and SAP service to K8S platform, leveraging application quality and security level, and continuously delivering innovations via automatic pipelines. We are the front runner in creating pipelines for application delivery and for data processing in data lake (DL)/machine learning (ML), in providing various cloud native services, automatic cloud application monitoring, scaling, and operation tools.

We are looking for research-oriented and innovative engineers to join this fast-growing team. Your focus should be on cloud technic area: developing and operating different IaaS, PaaS, automations, defining Infrastructure-as-Code, to support the CXS ML/DL infrastructure, establishing the cloud native foundations for CXS Data Lake. Some roles will also cross-region support global cloud application operations to ensure commercialized service functional and non-functional requirements like service performance, resilience, scalability, usability, security, and corporate compliance are satisfied our customers and service consumers.


The major objectives for QOD team are:

  • Drive improvements, incubate innovations, create automations for DevOps culture from processes, methodologies, architectures, and technology aspects.
  • Cross-region cooperation with global operation teams to support CXS cloud native service.
  • Contribute to CXS innovation projects like Machine Learning and Data Lake by a self-driven, self-managed way.

The position needs to process one or several of the below tasks: 

  • Implement SAP & OpenSource tools or create automation by your own  to fit the business need.
  • Work closely with data scientists, service consumer tenants, cloud service development teams; clearly communicate the status and tasks. 
  • Manage IaaS accounts, from SAP and Hyperscaler services , provide PaaS environment to CXS development teams. 
  • Participate and suggest in organizational architect decisions and support for implementation. 
  • Support CXS DL/ML projects in a self-drive and self-management way. 


To full fill the tasks and challenges, we are looking for candidates with related hands-on experience, with passion for technology engineering, a sense for quality excellence and a willingness to bring data-driven products to production and serve millions of requests every day.

This position is open for both professional level and senior level candidates.

Depending on the different task requirements, you need to be familiar with one or some of below knowledge and experience:

  1. Deep knowledge in: Kubernetes, HELM, Elasticsearch & Kibana, Prometheus & exporter, MongoDB;
    Of advantage: Kubeflow, Istio, Kong, influxDB, Grafana, Loki, Jenkins, ArgoCD;
  2. Many times, the opensource and SAP official tools don’t meet the project needs and we need to create automations by our own to mitigate your manual operation works. You will pilot a lot of firsts and push the envelope towards ever increasing automation and “as code” concepts.
    You will need to at least create Linux shell scripts to easy your job, meanwhile better able to create cloud resident automation tools with e.g: Groovy, Python, Java, Golang;
    Experience in creating K8S CDR is a plus.
  3. Good knowledge of software development lifecycle, Scrum, and agile software development.
  4. Exposure of clear software build, integration, and test environments.
  5. Knowledge and experience of Hyperscaler cloud (mainly Azure for now), major provided services.
  6. Good knowledge of K8S, Linux OS, network knowledge in L2/L3.
  7. Adapt Infrastructure as Code (IaC) concept to implement automation and create declarative cloud infrastructures.
  8. Topic relates to e.g. Security design, cloud application containerization, Service Mech, SaaS support and Operation mode.
  9.  Containerize applications, certificates, container orchestration with Kubernetes.
  10. Better to have knowledge about ML/AI/DL tooling. e.g. Jupiter notebook, Kubeflow, data persistent and delta fetching, Data Lake Master Data management and presenting.


  • BS or MS degree in related technical or science fields, e.g. software engineering/computer science/communication/mathematics/physics/etc.
  • Is a self-starter, quick learner; capable of setting priorities and remain efficient while multi-tasking.
  • Clear mind, ability to break down complexity and communicate things in a clear manner.
  • Team work /independent work and manage time effectively.



Success is what you make it. At SAP, we help you make it your own. A career at SAP can open many doors for you. If you’re searching for a company that’s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment – apply now.

To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team (Americas: [email protected] or [email protected], APJ: [email protected], EMEA: [email protected]).

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