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SAP is 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 following Agile methodologies like SCRUM.
- Prioritize and deliver high-quality developments within tight timelines.
- Build 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.
- Assist SRE teams in Reliability Services.
- Rapid adoption of cutting-edge technologies.
- Advanced analytical and problem-solving abilities.
- Strong team player with exceptional communication skills.
- Self-driven with a sense of urgency to resolve issues efficiently.
- Proficient in spoken and written English.
- Development: 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.
- DevOps:
- 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.
- Enterprise/Service Provider Data Center Architecture.
- Familiarity with Fault Monitoring and Performance Management tools.
- Hyperscalers:
- Certifications with public cloud providers (GCP, AWS, Azure, IBM, Alibaba Cloud, etc.).
- Adoption and integration methodologies between cloud solutions
- Observability data ingestion and pipelines working knowledge.
- Algorithms, data structures & patterns.
- 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.
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.
