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.
Job Type: Full-time
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