Cloud Systems Integration Engineer

hace 2 semanas


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 together 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.

About the Role

We are seeking a highly skilled Cloud Systems Integration Engineer - Observability Specialist to join our global team specializing in Reliability Engineering and Services. As a key member of our team, you will play a crucial role in developing and implementing cutting-edge Observability solutions powered by Big Data, streaming pipelines, Machine Learning, and Large Language models.

Key Responsibilities

  • Collaborate with cross-functional teams to design and implement Observability solutions.
  • Develop expertise in hyperscaler provider architectures and API integration models.
  • Ensure seamless operations and maximum uptime for our services.
  • Participate in On-Call rotational coverage, including weekends and holidays.
  • Share knowledge and drive hyperscaler adoption and integration.
  • Support ongoing Observability and Monitoring enhancements/development across the SAP Cloud Ecosystem.

Requirements

  • 4+ years of professional or enterprise development experience.
  • Strong knowledge of Python & JavaScript programming.
  • Experience in REST API implementation (Flask or FastAPI).
  • Microservice-based development expertise.
  • CI/CD pipelines using Azure, Jenkins, or similar tools.
  • Hands-on experience with Docker containers & Kubernetes.
  • Public cloud environments (GCP/AWS/Azure).
  • Solid grasp of JSON, YAML, & Github.

Preferred Qualifications

  • Experience with Elasticsearch, Splunk, or similar platforms.
  • Web development frameworks knowledge.
  • Familiarity with Terraform, HelmChart, Ansible, or similar tools.
  • Understanding of Kubeflow, MLFlow, Dataflow, or similar technologies.

Education

Bachelor's or equivalent in Software Engineering, Computer Science, or related fields. Industry Technical Certifications (CCNA, CKA, RHCE, AZ-900, etc.) and ITIL courseware are beneficial.



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