Cloud Systems Integration Engineer
hace 2 días
We are seeking a highly skilled Cloud Systems Integration Engineer to join our global team specializing in Reliability Engineering and Services. As a Cloud Systems Integration Engineer - Observability Specialist, 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.
You will focus on integrating public and private cloud solutions into the SAP ecosystem, optimizing alerts, metrics, and logs using AI-driven Observability solutions. You will work as part of an implementation project, with an eye toward integration and operationalization, where you will ultimately join the core SRE teams in support of the environments.
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.
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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