Cloud Engineer_Jaipur
2 days ago
                                            
							
							Jaipur, Rajasthan, India                                        
							
							AppZime Technologies
																					
							Full time                                        
							
														
							₹ 15,00,000 - ₹ 25,00,000 per year                                            
							
													
						Job Title:
Cloud Engineer
Location:
Jaipur
Experience:
4–6 Years
Role Overview:
Drive the technical deployment, optimization, and management of cloud platforms (Azure/AWS/GCP) for analytics, AI/ML workloads, and mission-critical systems. Champion best practices in automation, security, and performance across complex multi-cloud and hybrid environments.
Key Responsibilities:
- Build, optimize, and manage CI/CD pipelines for cloud infrastructure and applications using Azure DevOps, GitHub Actions, Jenkins, Terraform, ARM, and CloudFormation.
 - Integrate and secure Identity & Access Management (Azure AD, IAM, SSO, RBAC, Key Vault/Secrets Manager).
 - Develop cloud governance policies, cost management strategies, and tagging standards using Azure Policy and AWS Config.
 - Lead cloud migration and modernization projects, including assessment, blueprint design, and execution of lift-and-shift/refactor strategies.
 - Implement automated monitoring, alerting, and logging solutions (Azure Monitor, Log Analytics, Prometheus, Grafana, CloudWatch).
 - Design resilient backup, disaster recovery, and geo-redundancy solutions using native cloud services.
 - Troubleshoot distributed systems, network, security, and performance issues at scale.
 - Document architectural decisions, create HLD/LLD artifacts, and provide technical mentorship to DevOps, platform, and engineering teams.
 
Requirements:
- Bachelor's/Master's in Computer Science, Engineering, or related field.
 - Azure Solutions Architect Expert or AWS/GCP equivalent certification.
 - Hands-on expertise in architecting multi-cloud/hybrid cloud solutions.
 - Proven experience with networking, security, identity, monitoring, backup, and disaster recovery in cloud environments.
 - Strong problem-solving, communication, and documentation skills.|
 
Preferred:
- Experience with AI/ML workloads on cloud platforms.
 - Familiarity with containerization (Docker, Kubernetes) and serverless architectures.