Sr. Azure Cloud ops

Sr. Azure Cloud ops

Job Description

Job description : 

We're Looking for Azure PaaS expert with strong knowledge in Azure networking, service endpoints, private endpoints, NSGs, ASGs, load balancers, UDRs, and VNet integration. Looking for individuals to apply expertise in cloud operations, automation, DevOps, and AI/ML.

 Required Skills :

- Hands-on experience with automation tools and scripting languages (e.g., PowerShell, Python).

- Solid understanding of DevOps principles and practices, including CI/CD pipelines.

- Familiarity with AI/ML concepts and their application in cloud environments.

- Excellent problem-solving skills with a proactive and analytical approach to troubleshooting.

- Effective communication and collaboration skills to work across diverse teams.

- Service management skills: Strong knowledge of incident, change, and service request management processes.

- Familiarity with Splunk or other log analysis tools is a plus.

- Ability to thrive in a fast-paced, 24x7 operational environment.

- Leverage your strong knowledge of Azure networking, including:

- Designing and implementing virtual networks (VNets) with optimal subnets and IP addressing.

- Implementing and managing Network Security Groups (NSGs) and Application Security Groups (ASGs) for fine-grained network security.

- Configuring and optimizing load balancers for high availability and performance.

- Defining and managing User-Defined Routes (UDRs) for custom network routing.

- Implementing Service Endpoints and Private Endpoints for secure connectivity.

- Integrating PaaS services seamlessly with VNets for enhanced security and performance.

- Collaborate with cross-functional teams to design, implement, and optimize PaaS solutions that align with business requirements.

- Develop and maintain automation scripts and tools for provisioning, scaling, and managing diverse PaaS services and networking components.

- Contribute to the implementation and improvement of DevOps practices, enabling continuous integration, delivery, and deployment.

- Utilize AI/ML technologies to enhance monitoring, analytics, and predictive maintenance of PaaS services.