Join SAP as a Senior AI Observability Engineer (SRE)

SAP innovations help more than 400,000 customers worldwide work together more efficiently and use business insights more effectively. Initially renowned for our leadership in enterprise resource planning (ERP) software, SAP has now evolved to become a frontrunner in end-to-end business application software and related services, including database, analytics, intelligent technologies, and experience management. As a cloud company with 200 million users and more than 100,000 employees worldwide, we are purpose-driven and future-focused, emphasizing a collaborative team ethic and a commitment to personal development. At SAP, you can truly bring out your best.

About the Role

We are looking for a Senior AI Observability Engineer (SRE) to focus on both the software and physical layers of our global operations. You will be part of a global, multidisciplinary SRE team of DevOps engineers, aiding in the development of AI solutions that power a diverse observability service stack using Machine Learning and Large Language Models. This role involves transforming alert, metric, and log management by integrating deep learning and NLP to enhance reliability services. Additionally, you will support troubleshooting tasks during significant incidents involving our global cloud infrastructure, ensuring excellence in triage and resolution, and helping the team reduce critical KPIs around MTTD/MTTR, Signal to Noise Ratio, and other relevant metrics using advanced methods.

Expectations and Tasks

• Collaborate with engineering and product management teams following Agile methodologies such as SCRUM.
• Prioritize and deliver high-quality developments within time constraints.
• Ensure smooth operations and maximize uptime for our services.
• Participate in on-call rotational coverage, including weekends and holidays, with compensation as per local policies.
• Share knowledge across the team.
• Work on data analysis and generation.
• Support AI research and development projects.
• Train and fine-tune AI models.

Required Skills

• Quick adoption of cutting-edge technologies.
• Advanced analytical and problem-solving skills.
• Strong team player with excellent communication skills.
• Self-starter who acts efficiently and effectively to resolve issues.
• Fluent in spoken and written English.

Required Experience

Development

• 4+ years of experience in professional or enterprise development.
• Strong knowledge of Python and JavaScript programming languages.
• Proven experience in REST API implementation using Flask or FastAPI.
• Experience in microservice-based development.

DevOps

• Understanding of CI/CD pipelines using Azure, Jenkins, Travis, or similar.
• 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.
• Solid understanding of Enterprise/Service Provider Data Center Architecture.
• 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, RAG, and Embeddings.
• Good understanding of Machine Learning models (Supervised/Unsupervised).
• Good understanding of algorithms, data structures, and data patterns.

Preferred

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

Education

• Bachelor's or equivalent education in Software Engineering, Computer Science, or a related field.
• Industry Technical Certifications (CKA, Elastic Certified Engineer, RHCE, CC