Cloud AI Infrastructure Engineer for SAP Business Platform
1 semana atrás
SAP Se is a global leader in enterprise software and solutions. At Sap Se, we empower individuals to bring out their best work by fostering collaboration and a shared passion to make the world run better.
We are shaping the future of enterprise software with our Business Technology Platform (BTP), which enables customers to extend and personalize SAP applications, integrate, and connect entire landscapes, and empower business users to integrate processes and experiences.
This role offers a unique opportunity to shape and deliver the future of GenAI capabilities within SAP's BTP by designing and developing products and services in this space.
We are looking for a highly motivated Cloud AI Infrastructure Engineer to join our team. The ideal candidate will have a strong background in DevOps engineering and experience working with cloud-native technologies such as Kubernetes, Docker, and Terraform.
The successful candidate will design, implement, and manage DevOps capabilities using CI/CD toolsets and automation. They will also work on infrastructure as code and ensure teams have the environments, deployment pipelines, and tools necessary to be efficient.
The estimated salary for this position is $120,000 - $180,000 per year, depending on location and experience.
To be successful in this role, you will need:
- Strong relevant work experience in DevOps engineering, ideally with a software development background, site reliability engineering, quality assurance, or similar.
- Strong knowledge of DevOps automation concepts, practices, and procedures.
- Good technical understanding of the intersection of development and operations (DevOps), test frameworks, coverage reporting, application monitoring, and deployment tools and processes.
- Inner conviction of the four DevOps Research and Assessment (DORA) metrics and how to optimize them in the DevOps cycle.
- Strong technical problem-solving, troubleshooting, and debugging skills.
- Enthusiasm about AI and its applicability in a business context.
- Possession of a relevant subset of Jenkins, Azure pipelines, Kubernetes, Cloud Foundry, Helm, Docker, Terraform, Linux, Git, Github, and Github Actions.
You will also learn:
- Project Piper, SAP BTP, SAP Cloud Application Programming Model, DevOps for GenAI applications, Black Duck, Checkmarx, Mend, SonarQube, Kibana, Grafana, Dynatrace.
Our BTP AI team is part of the organization building and operating the platform. We aim to be on top of the latest advancements in AI and to figure out how we apply these best to increase the value for everybody building on top of the platform – be it internal or be it our customers and partners.
Join us if you feel you have the necessary skills, experience, and passion that would help you thrive in such an environment.
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