Cloud AI Engineer for Enterprise Software

Há 2 dias


Porto Salvo, Lisboa, Portugal SAP Tempo inteiro
About SAP

SAP is a global leader in enterprise software, helping over 400,000 customers worldwide to work more efficiently and make better business decisions. Our cloud company has 200 million users and over 100,000 employees worldwide, making us a highly collaborative and purpose-driven organization.

Job Description

We are seeking a highly motivated DevOps Engineer with a cloud-native mindset to join our BTP AI team. As a key member of our team, you will be responsible for designing and developing products and services in the field of Generative AI (GenAI) within our Business Technology Platform (BTP).

In this role, you will have the opportunity to shape and deliver the future of GenAI capabilities within SAP's BTP by designing and developing products and services in this space. You will be immersed in an environment that fosters innovation, with abundant opportunities for personal growth and continuous learning.

Main Responsibilities:

  • Design, implement, and manage DevOps capabilities using CI/CD toolsets and automation.
  • 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, manage deployments, monitor multi-landscape environments, etc.
  • Be the DevOps champion in the team, helping the scrum team to stay on top of the latest trends and tools to ensure a cloud-native environment.
  • Provide the tooling to ensure we can release often, safely and reliably.

What We Offer:

  • A competitive salary of $120,000 - $180,000 per year, depending on experience.
  • A comprehensive benefits package, including health insurance, retirement plan, and paid time off.
  • Opportunities for career growth and professional development.
  • A diverse and inclusive work environment.
Requirements

To succeed in this role, you should have:

  • Strong relevant work experience in DevOps, 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.
  • Passion for learning new technologies and programming skills.
  • Fluency both written and spoken in English.

Tech Skills:

  • Jenkins, Azure pipelines, Kubernetes, Cloud Foundry, Helm, Docker, Terraform, Linux, Git, Github, and Github Actions.

Tech to Learn:

  • Project Piper, SAP BTP, SAP Cloud Application Programming Model, DevOps for GenAI applications, Black Duck, Checkmarx, Mend, SonarQube, Kibana, Grafana, Dynatrace.


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