- Implement Rules and configure VNs to create a scalable and secure network for the application workloads
- Will be client point of contact for High Priority technical issues and new requirements
- Work with client application developers to build, deploy and run both monolithic and microservices based applications on Azure Cloud
- Analyze workload requirements and work with IT stakeholders to define proper sizing for cloud workloads on Azure
- Build, Deploy and Manage production workloads including applications on Virtual Machine instance, Database, Logic Apps and more
- Work with IT stakeholders to monitor system performance and proactively improve the environment for scale and security
Requirements
- Should have 4 to 6 years of Cloud/DevOps experience implementing enterprise applications
- Should be hands-on Azure
- Must have at least 3+ years of working as a Cloud Engineer focused on Azure services such as VM’s, Virtual Networks, Firewalls, Load Balancers, Entra ID, App Services, Azure DevOps, Application Insights, Storage etc.
- Must have a strong understanding of Virtual Machine instances, types and deploying applications to the cloud
- Must have a strong understanding of Entra ID policies, VPC creation, and other security/networking principles
- Should have experience is working on Azure performance, Cost and Security optimization
- Should be experience in implementing automated patching and hardening of the systems
- Should be involved in P1 tickets and also guide team wherever needed
- Creating Backups and Managing Disaster Recovery
- Experience in using Infra as a code automation using scripts & tools like CloudFormation and Terraform
- Any exposure towards creating CI/CD pipelines on Azure Devops Organizations
- Experience with Docker, Bitbucket, ELK and deploying applications on AWS
- Good understanding of Containerization technologies like Docker, Kubernetes etc.
- Should be experience in using and configuring cloud monitoring tools and ITSM ticketing tools
- Good exposure to Logging & Monitoring tools like Dynatrace, Prometheus, Grafana, ELF/EFK
- Preference will be for Azure Certified Candidates.
- Good to have GCP Cloud experience.
TechVedika
An Artificial Intelligence focused product engineering company providing cutting edge products & solutions in healthcare, retail & e-commerce, manufacturing and hospitality sectors.
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