Senior Cloud Reliability Engineer

hace 7 días

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

Unleash Your Potential

SAP is at the forefront of innovation, empowering over four hundred thousand clients globally to collaborate more effectively and leverage business insights with greater efficacy. Renowned for our leadership in enterprise resource planning (ERP) software, SAP has transformed into a premier provider of comprehensive business application software and associated services in database management, analytics, intelligent technologies, and experience management. As a cloud-centric organization with two hundred million users and a workforce exceeding one hundred thousand employees worldwide, we are driven by purpose and focused on the future, fostering a highly collaborative team culture and a commitment to individual growth. Our mission is to connect global industries, individuals, and platforms, ensuring that every challenge is met with the right solution. At SAP, you have the opportunity to unleash your potential.

Global Cloud Infrastructure & Delivery (GCID) is responsible for developing and delivering cloud infrastructure and operational services to SAP Lines of Business (LoB) and, by extension, our external clientele. We facilitate the cloud adoption journey for LoBs and their customers across four major hyperscaler public clouds and SAP's Infrastructure-as-a-Service offerings.

Service Reliability Engineering (SRE) is a vital team within the GCID organization, dedicated to ensuring the reliability and availability of SAP cloud services—both internal and external. This is achieved through the development and enhancement of observability tools designed to prevent or isolate incidents. The SRE team proactively automates and optimizes processes, operating globally in a follow-the-sun model.

We are seeking a Senior AI Observability Engineer (SRE) who will focus on both the software and hardware layers of our global operations.

Role Overview:
You will become a part of a global and multidisciplinary SRE team of DevOps engineers, contributing to the creation of AI solutions that drive a suite of diverse observability services utilizing Machine Learning and Large Language Models. This position involves rethinking our approach to managing alerts, metrics, and logs by integrating deep learning and natural language processing to enhance our reliability services. You will also play a key role in troubleshooting major incidents related to our global cloud infrastructure, ensuring excellence in triage and resolution. Your contributions will help the team reduce critical KPIs related to Mean Time to Detect (MTTD), Mean Time to Recovery (MTTR), Signal to Noise Ratio, and other relevant metrics through these advanced methodologies.

Key Responsibilities:

  • Collaborate with engineering and product management teams, adhering to Agile methodologies such as SCRUM.
  • Prioritize and deliver high-quality developments within tight deadlines.
  • Ensure seamless operations and maximize service uptime.
  • Participate in on-call rotational coverage, including weekends and holidays, with compensation aligned with local policies. We operate on a global follow-the-sun model with local daytime coverage.
  • Share knowledge and expertise across the team.
  • Engage in data analysis and generation activities.
  • Support AI research and development initiatives.
  • Train and fine-tune AI models.

Required Qualifications:

  • Rapid adaptation to cutting-edge technologies.
  • Advanced analytical and problem-solving capabilities.
  • Strong team player with exceptional communication skills.
  • Self-motivated individual who acts with urgency to efficiently and effectively address issues.
  • Proficient in spoken and written English.

Required Experience:

  • Development: A minimum of 4 years of experience in professional or enterprise development. Strong proficiency in Python and JavaScript programming languages. Proven experience in REST API implementation using Flask or FastAPI. Familiarity with microservice-based development.
  • DevOps: Understanding of CI/CD pipelines using Azure, Jenkins, Travis, or similar tools. Hands-on experience with Docker containers and Kubernetes. Experience with public cloud environments such as GCP, AWS, or Azure. Solid understanding of JSON, YAML, and GitHub. Strong familiarity with enterprise-class fault monitoring and performance management tools.
  • Artificial Intelligence: Experience with ML frameworks like PyTorch, TensorFlow, or similar. Knowledge in prompt engineering, large language models, retrieval-augmented generation (RAG), and embeddings. Good understanding of machine learning supervised and unsupervised models, as well as algorithms, data structures, and data patterns.
  • Education: Bachelor's degree or equivalent in Software Engineering, Computer Science, or a related field.

Preferred Qualifications:

  • Familiarity with knowledge graphs, graph databases, and graph theory.
  • Experience with Elasticsearch, Splunk, or similar technologies.
  • Experience in web development frameworks.
  • Knowledge of Terraform, HelmChart, Ansible, or similar tools.
  • Understanding of Kubeflow, MLFlow, Dataflow, or similar technologies.
  • Industry technical certifications (CKA, Elastic Certified Engineer, RHCE, CCNA, AZ-900, etc.) and ITIL-related coursework are advantageous.

​

Unleash Your Potential

SAP is at the forefront of innovation, empowering over four hundred thousand clients globally to collaborate more effectively and leverage business insights with greater efficacy. Renowned for our leadership in enterprise resource planning (ERP) software, SAP has transformed into a premier provider of comprehensive business application software and associated services in database management, analytics, intelligent technologies, and experience management. As a cloud-centric organization with two hundred million users and a workforce exceeding one hundred thousand employees worldwide, we are driven by purpose and focused on the future, fostering a highly collaborative team culture and a commitment to individual growth. Our mission is to connect global industries, individuals, and platforms, ensuring that every challenge is met with the right solution. At SAP, you have the opportunity to unleash your potential.

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