Senior AI Observability Engineer

hace 6 días


San Pedro Garza García, Nuevo León, México SAP A tiempo completo

About SAP

SAP is a leading provider of enterprise software solutions, helping over 400,000 customers worldwide work more efficiently and effectively. With a strong focus on innovation, SAP has evolved from its roots in enterprise resource planning (ERP) software to become a market leader in end-to-end business application software and related services.

Our Team

Our Global Cloud Infrastructure & Delivery (GCID) team develops and delivers services for cloud infrastructure and cloud operations to SAP Lines of Business (LoB) and external customers. We support LoBs and their customers' cloud adoption journey through four hyperscaler public clouds and SAP's Infrastructure-as-a-Service.

Job Summary

We are seeking a Senior AI Observability Engineer to join our Service Reliability Engineering (SRE) team. As a key member of our team, you will contribute to the development of AI solutions that power a stack of diverse observability services using Machine Learning and Large Language models.

Key Responsibilities

  • Collaborate with engineering and product management following Agile Methodologies such as SCRUM.
  • Develop and implement AI solutions to enhance reliability services.
  • Support troubleshooting during major incidents related to our global cloud infrastructure.
  • Participate in On-Call rotational coverage, including weekends and holidays.
  • Share knowledge across the team.
  • Work on data analysis & generation.
  • Support AI research & development projects.

Requirements

  • 4+ years of experience in professional or enterprise development.
  • Strong knowledge of Python & JavaScript programming languages.
  • Proven experience in REST API implementation using Flask or FastAPI.
  • Experience in microservice-based development.
  • Understand CI/CD pipelines using Azure, Jenkins, Travis, or similar.
  • Hands-on experience with docker containers & Kubernetes.
  • Work with public cloud environments such as GCP/AWS/Azure.
  • Experience with ML frameworks like PyTorch, TensorFlow, or similar.

Preferred Experience

  • Knowledge Graphs, Graph DB's and Graph Theory.
  • Experience with Elasticsearch, Splunk, or similar.
  • Experience in web development frameworks.
  • Familiarity with Terraform, HelmChart, Ansible, or similar tools.
  • Knowledge about Kubeflow, MLFlow, Dataflow, or similar technologies.

About the Role

This role involves reshaping how we manage alerts, metrics, and logs by introducing deep learning and NLP to enhance reliability services. You will also support troubleshooting during major incidents related to our global cloud infrastructure, ensuring excellence in triage and resolution.

What We Offer

At SAP, you can bring out your best. We offer 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.



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