Artificial Intelligence CloudOps Engineer (Kubernetes, AWS, Linux, Terraform)

Singapore, SG, 117440

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We help the world run better

 

At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.

 

We are looking for a Senior DevOps Engineer with experience in Cloud technologies, infrastructure as code and/or general automation techniques to join us in building the future of SAP's Artificial Intelligence platform. 

 

What you’ll do

  • Work with AI DevOps team to manage AI product and services globally
  • Lead the process of moving applications from development to production and make sure our products run smoothly in production. 
  • Design, implement, and manage DevOps capabilities using CI/CD toolsets and automation. 
  • Analyze the existing infrastructure and provide expertise on containerization and migration to Kubernetes (K8S). 
  • Work on infrastructure as code and ensure teams have the environments, deployment pipelines, and tools necessary to be efficient, e.g., automate processes for environment setup, deployments, monitoring and debugging, etc.
  • Identify and address security and performance issues. Maintain a strong focus on quality and customer satisfaction.


 

What you bring

  • Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related discipline that provides a solid background in software development.
  • 4 to 7 years of relevant experiences
  • Experience with cloud tools such as Cloud Foundry, Kubernetes, Docker, Jenkins, Ansible, Kibana, Grafana, or Dynatace.
  • Good technical understanding of the intersection of development and operations (DevOps), monitoring/management/deployment tools and processes. 
  • Experience with public cloud infrastructure such as AWS, Azure, or GCP. 
  • You are an excellent collaborator with good communication skills.
  • Fluency both written and spoken in English

 

Tech you bring

Linux kernel programming, Operating system fundamentals, Shell scripting, Kubernetes, AWS, Jenkins 

 

Tech you'll learn

Artificial Intelligence, Generative AI, Large Language Models 

 

Meet your team

The SAP Artificial Intelligence CloudOps team is at the forefront of operations and AI tools deployment, enabling the provisioning of SAP AI cloud services across various datacenters and hyperscalers. Our team is responsible for overseeing the complete infrastructure and software deployment stack, tenant management, as well as deploying and managing large language models.

 

We also take pride in providing steadfast Site Reliability Engineering (SRE) support and a 24/7 incident response mechanism, upholding the continuous availability of AI cloud services for a broad range of both internal and external customers. Our collaborative approach allows us to work hand-in-hand with development, cyber-security, and compliance teams, reinforcing secure DevOps and unwavering operations of productive landscapes.

 

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

 

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable world.


SAP is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to the values of Equal Employment Opportunity and provide accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and 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: Careers@sap.com


For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

 

EOE AA M/F/Vet/Disability:

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.


Successful candidates might be required to undergo a background verification with an external vendor.

 

Requisition ID: 398170  | Work Area: Software-Development Operations  | Expected Travel: 0 - 10%  | Career Status: Professional  | Employment Type: Regular Full Time   | Additional Locations: #LI-Hybrid.

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Tags: Ansible AWS Azure CI/CD Computer Science DevOps Docker Engineering GCP Generative AI Grafana Jenkins Kibana Kubernetes Linux LLMs Pipelines Security Shell scripting Terraform

Perks/benefits: Career development Flex hours

Region: Asia/Pacific
Country: Singapore

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