Cloud Engineer

Technical Skills : 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.