
Cloud Engineer
2 days ago
- Programming: Proficiency in Python.
- Operating Systems: Deep understanding of Linux/Windows OS and networking concepts.
- Cloud Technologies: Experience with Azure, including services, architecture, and best practices.
- Containerization & Orchestration: Hands-on experience with Docker, Kubernetes, and related tools.
- Infrastructure as Code (IaC): Familiarity with Terraform, CloudFormation, or Azure CLI.
- Monitoring & Observability: Experience with Splunk, New Relic, or Azure Monitoring.
- CI/CD: Experience with continuous integration and delivery pipelines (GitHub, GitHub Actions).
- Knowledge in supporting Azure ML, Databricks, and other related SaaS tools.
Soft Skills:
- Problem-Solving: Ability to troubleshoot and debug complex distributed systems independently.
- Communication: Strong written and verbal skills; capable of writing documentation like Runbooks.
Specific Experience:
- Incident Management: Incident response, root cause analysis, post-incident reviews.
- Scalability & Performance: Monitoring and ensuring scalability and availability of large-scale systems.
- Automation: Automating repetitive tasks and workflows.
Preferred Qualifications:
- Experience with Azure cloud platform.
- Cloud engineering or DevOps certifications.
- Microservices architecture, including AI/ML solutions support.
- Large-scale system management and configuration experience.
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