Cloud Specialist - Azure /GCP

Your Skills & Experience:

• 9 to 12 years of experience in DevOps with a bachelor's in engineering/Technology Or master's in engineering/Computer Applications
• Expertise in DevOps & Cloud tools:
• Cloud (AWS, Azure, GCP)
• Version Control (Git, Gitlab, GitHub)
• Hands-on experience in Container Infrastructure ( Docker, Kubernetes, Hosted solutions)
• Ability to define container-based environment topology following principles of designing a well-architected framework.
• Be able to Design and implement advanced aspects using Service Mesh technologies like Istio, Linkerd, Kuma, etc
• Infrastructure Automation (Chef/Puppet/Ansible, Terraform, ARM, Cloud Formation)
• Build tools (Ant, Maven, Make, Gradle)
• Artifact repositories (Nexus, JFrog Artifactory)
• CI/CD tools on-premises/cloud (Jenkins, TeamCity)
• Monitoring, Logging, and Security (CloudWatch, cloud trail, log analytics, hosted tools such as ELK, EFK, Splunk, Prometheus, OWASP, SAST, and DAST)
• Scripting languages: Python, Ant, Bash, and Shell
• Hands-on experience in designing pipelines & pipelines as code.
• Hands-on experience in end-to-end deployment process & strategy
• Good exposure to tools and technologies used in building a container-based infrastructure.
• Hands-on experience of GCP/AWS/AZURE with a good understanding of computing, networks, IAM, Security, and integration services with production knowledge on
• Implementing strategies for reliability requirements
• Ensuring business continuity
• Meeting performance objectives
• Security requirements and controls
• Deployment strategies for business requirements
• Cost optimization etc
• Responsible for managing Installation, configuration, automation, performance, monitoring, Capacity planning, and Availability Management of various Servers and Databases. An expert in automation skills
• Knowledge of load balancing, CDN options provided by multiple cloud vendors (E.g. Load balancer and Application gateway in Azure, ELB, and ALB in AWS)
• Good knowledge of network algorithms on failover and availability.
• Capability to write complex code

- e.g., automation of recurring/mundane tasks, OS administration (CPU, memory, network performance troubleshooting), also demonstrates strong troubleshooting skills

• Demonstrates HA/DR design on Cloud platform as per SLAs/RTO/RPO