Senior Backend Engineer

Global Cloud Infrastructure & Delivery (GCID)develops and delivers services for cloud infrastructure and cloud operations to SAP Lines of Business (LoB) and through them our external customers. We supportLoBsand their customers cloud adoption journey through fourhyperscalerpublic clouds and SAPs Infrastructure-as-a-Service.

Cloud Observability (CO)is the foundation for cloud operations. It delivers critical capabilities for infrastructure and application operation security management by providing a fully integratedend-to-endobservability product across our different Line of Business.

About the Role:

We are looking for aSenior Backend Engineerwith strong development fundamentals and production experience building and operating backend services in cloud environments. This role is ideal for an engineer who has led or owned Python-based applications is comfortable with DevOps and CI/CD practices and is interested in growing into AI and agent-based systems over time.

You will join a global multidisciplinary engineering team responsible for developing and operating cloud observability services used across SAPs global infrastructure. While AI and automation are part of our roadmap this role does not require deep AIexpertiseon day one. Instead we are looking for strong engineers who are curious adaptable and motivated to upskill in AI-related technologies as part of their growth.

WhatYoullDo:

• Design develop andoperatebackend services primarily in Python supporting observability platforms for cloud infrastructure and applications.

• Build andmaintainREST APIsusing frameworks such asFastAPIor Flask.

• Own services end to end including development deployment monitoring and operational support.

• Contribute toCI/CD pipelines automated testing and release processes to ensure reliable and repeatable deployments.

• Work with containerized workloads usingDocker and Kubernetesin public cloud environments (AWS Azure GCP).

• Analyze operational data such as metrics logs and alerts to improve service reliability and reduce operational noise.

• Collaborate closely with engineers and product managers in an Agile (Scrum) environment.

• Participate in a globalon-call rotationfollowing a follow-the-sun model.

• Gradually contribute to and learn aboutAI-driven and agent-based capabilitiesused to improve observability and operational efficiency.

What You Bring:

Core Engineering Experience

• 5 years of professional software development experience with a strong focus on backend systems.

• Proven experience building andmaintainingPython-based applicationsin production environments.

• Solid understanding ofRESTful API designand backend frameworks (FastAPI Flask or similar).

• Experience working incloud-native environments including Docker Kubernetes and at least one major cloud provider (AWS Azure or GCP).

• Strong grasp ofCI/CD concepts and pipelines including version control (GitHub) configuration formats (JSON YAML) and automated testing.

• Familiarity with monitoring logging and performance management tools.

AI Interest

• Basic knowledge or personal exposure toAI/ML or Generative AI concepts or a strong interest in learning.

• Curiosity about how AI and automation can be applied to observability operations and incident reduction.

• Willingness to upskill in areas such as agent-based systems ML-assisted analytics or LLM-driven tooling as part of the role.

Professional Skills

• Strong analytical and problem-solving mindset.

• Ability to work independently while collaborating effectively within a global team.

• Clear written and verbal communication skills in English.

• Self-driven pragmatic and comfortable working in complex production environments.

Education:

• Bachelors degree or equivalent experience in Computer Science Software Engineering orrelatedfield.

Nice to Have:

• Experience with observability tools such asElasticsearch Splunk or similar.

• Exposuretoinfrastructure-as-code or automation tools (Terraform Helm Ansible).

• Familiarity with large-scale cloud or enterprise infrastructure environments.