VIR_SeniorNetworkEngineer_P-102130

Posted Yesterday
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Hyderabad, Telangana, IND
In-Office
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Designs and manages secure cloud and hybrid networks across AWS, GCP, and Azure. Responsibilities include virtual networking, routing, VPNs, connectivity, load balancing, firewalls, intrusion prevention, infrastructure automation, troubleshooting, and performance optimization. Collaborates with DevOps, security, and architecture teams while applying network security, compliance, Agile, DevOps, and CI/CD practices.
Summary Generated by Built In
Job Requirements Key Responsibilities:
Cloud Architecture & Design:
Design, implement, and manage secure virtual networks,
VPCs, subnets, and routing protocols within cloud environments (AWS/GCP/Azure).Infrastructure Management: Oversee connectivity solutions including VPNs,
Direct Connect/Interconnect, and Load Balancing to ensure robust communication between on-premise data centers and cloud platforms.
Network Security: Implement and maintain network security controls, including Firewalls (WAF, NGFW), Network Access Control Lists (NACLs), Security Groups, and Intrusion Detection/Prevention systems. Optimization & Automation: Utilize Infrastructure as Code (IaC) tools like Terraform or CloudFormation to automate network provisioning and configuration management. Troubleshooting: Perform root cause analysis and resolve complex network latency, connectivity, and performance issues across hybrid environments. Collaboration: Partner with DevOps, Security, and Cloud Architecture teams to align network strategies with application requirements and compliance standards. Required Qualifications & Skills:
Experience: 6+ years of hands-on experience in Network Engineering, with at least 3 years specifically focused on Cloud Infrastructure (AWS, GCP, or Azure). Technical Proficiency: Strong understanding of TCP/IP, DNS, BGP, OSPF, and routing/switching. Experience with Cloud Networking services (e.g., VPC, Transit Gateway, Cloud Load Balancing, Private Service Connect). Infrastructure as Code (IaC): Proven ability to manage network infrastructure using Terraform, Ansible, or similar automation tools. Security: Solid grasp of network security best practices in the cloud (Zero Trust architecture, IAM roles for networking, encryption in transit).Tools & Scripting: Proficiency in scripting (Python or Bash) for network automation and troubleshooting. Methodologies: Experience working in an Agile/DevOps environment using CI/CD pipelines and version control systems (Git/GitHub). Certifications: Relevant Cloud Networking certifications (e.g., AWS Certified Advanced Networking, Google Professional Cloud Network Engineer, or CCNA/CCNP)

Skills Required

  • 6+ years of hands-on network engineering experience
  • At least 3 years of cloud infrastructure experience with AWS, GCP, or Azure
  • Strong understanding of TCP/IP, DNS, BGP, OSPF, routing, and switching
  • Experience with cloud networking services including VPCs, Transit Gateway, cloud load balancing, and Private Service Connect
  • Experience managing network infrastructure with Terraform, Ansible, or similar infrastructure-as-code tools
  • Knowledge of cloud network security, Zero Trust architecture, networking IAM roles, and encryption in transit
  • Proficiency in Python or Bash scripting for network automation and troubleshooting
  • Experience working in Agile and DevOps environments with CI/CD pipelines and version control systems such as Git or GitHub
  • Relevant cloud networking certification such as AWS Certified Advanced Networking, Google Professional Cloud Network Engineer, CCNA, or CCNP
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The Company
484 Employees
Year Founded: 2023

What We Do

AidenAI builds and operates enterprise AI solutions, including AI agents and its unified agentic platform for modernizing legacy technology, transforming business logic and data, validating outcomes, and accelerating migration. It supports organizations from AI strategy through integration and ongoing operations, while providing tools to build, deploy, govern, and measure enterprise agents. Its services are intended to move AI beyond experimentation and embed it into business operations.

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