Cloud Networking Engineer

This full-time position based in Hyderabad, Tamil Nadu, India, offers a competitive salary range of 25 to 30 Lakhs INR. The role centers on maintaining and scaling cloud networking services primarily across Azure and Google Cloud platforms. The successful candidate will serve as a critical link between development, quality, security, and operations teams to improve the scalability, reliability, capacity, and performance of cloud networking solutions. This position demands a software engineering mindset with a strong focus on automation and cloud networking operations, driving continuous improvements in software delivery within a multidisciplinary, multi-location environment.

Key Responsibilities

Maintain and scale cloud networking services such as Azure VPNs, Google Cloud VPNs, Azure vWan, VNETs, and VPCs (including Shared VPCs) across both Azure and Google Cloud platforms. Develop automation scripts and code to provision and operate cloud networking components at scale. Collaborate closely with development, quality, security, and operations teams to ensure seamless integration and delivery of cloud networking solutions. Leverage automation extensively to design, configure, manage, and monitor cloud networking systems that support product development teams.

Participate actively in disaster recovery planning and execution. Develop and maintain dashboards for daily monitoring to detect infrastructure issues and potential security incidents. Coordinate capacity planning and resource estimation for cloud networking infrastructure. Support Continuous Integration/Continuous Deployment (CI/CD) pipelines to deploy code into production environments. Define and implement Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs) in collaboration with development teams.

Provide timely assistance and remediation during critical incidents and production outages, including participation in on-call support rotations. Develop monitoring architectures, build dashboards, manage escalations, and handle alerts effectively. Engage in incident management processes, including root cause analysis (RCA) and risk management activities.

Required Qualifications

Bachelor’s degree in Computer Science or a related technical field, or a minimum of 5 years of relevant experience. Proficiency in reading and debugging code in languages such as Java, C, C++, .NET, Python, Shell, Perl, or JavaScript. At least 2 years of experience deploying and supporting high-traffic cloud networking platforms. Minimum 2 years of hands-on experience with cloud virtualization, Platform as a Service (PaaS), and cloud networking support and administration.

Strong practical experience with Azure Cloud Services including Virtual Networks, Virtual Network Gateway, ExpressRoute, Route Tables, Network Security Groups, Front Doors, Traffic Manager, Load Balancers, and Application Gateways. Experience with Google Cloud Services such as VPCs, Shared VPCs, Interconnect, Cloud Routers, Cloud VPNs, and HTTPS Load Balancers. Familiarity with orchestration, automation, and configuration management tools such as GitHub, Terraform, Ansible, Puppet, or Chef.

Excellent analytical, debugging, root cause identification, and troubleshooting skills. Experience with Kubernetes, system virtualization, hybrid cloud computing, cloud identity and security systems, cloud monitoring and logging, and local/cloud storage. Working knowledge of Java, scripting, scheduling, Linux, networking, firewalls, load balancers, and backup systems. Proficiency with Linux operating systems, preferably CentOS or RHEL, including kernel, shell, file systems, and client-server protocols. Experience with Continuous Integration tools such as Jenkins and Artifactory.

This role provides an exciting opportunity to work in a dynamic IT services environment, contributing significantly to critical cloud networking infrastructure and operations. Candidates will engage with cutting-edge cloud technologies and automation tools, playing a pivotal role in ensuring the reliability and scalability of cloud services.