Senior Manager-Cloud Engineer-Cloud Network Engineer

Job Description: 1) Network Automation & Orchestration: Develop low-level automation using Ansible, Terraform, Python, and Puppet to configure routers, switches, firewalls (Cisco, Arista, Palo Alto), and enforce policy-driven changes across hybrid environments.

2) Core Network Engineering: Hands-on expertise in Layer 2/3 protocols (MPLS, BGP, OSPF, VRRP, STP, VLANs) and physical/logical infrastructure design for large-scale, multi-region enterprise networks.

3) Infrastructure as Code (IaC): Implement version-controlled, repeatable network provisioning using Terraform modules, YAML-based configs, and Git workflows to manage complete network lifecycles.

4) Cloud Network Provisioning: Automate and manage cloud-native networking (VPCs, subnets, route tables, VPNs, Direct Connect, Transit Gateway, firewalls, NACLs, Security Groups) in AWS, Azure, and GCP.

5) CI/CD for Network Ops: Integrate network changes into CI/CD pipelines (Jenkins, GitLab CI) for test-driven deployments with linting, validation, rollback, and minimal operational downtime.

6) Internet & Perimeter Security: Configure and manage internet-edge security layers (firewall policies, DDoS protection, IPS/IDS, web proxies) and ensure secure ingress/egress traffic flows.

7) Monitoring, Telemetry & Auto-Remediation: Deploy NMS/telemetry tools (SolarWinds, Prometheus, InfluxDB) and write custom scripts for real-time alerting, anomaly detection, and event-driven remediation.

8) Troubleshooting & Packet Analysis: Perform low-level debugging using packet captures (Wireshark/tcpdump), flow telemetry, syslog, and routing table state analysis to resolve incidents in multi-vendor networks.

9) Cross-Functional Collaboration & Documentation: Collaborate with CloudOps, DevOps, Security, and platform teams to align network architecture with application needs. Maintain up-to-date HLD/LLD, runbooks, topology maps, and compliance records.

10) Innovation & Optimization: Evaluate SDN, SASE, Zero Trust, and AI-based networking solutions to continuously improve agility, reliability, and performance of the network ecosystem.

Responsibilities: 1) Network Automation & Orchestration: Develop low-level automation using Ansible, Terraform, Python, and Puppet to configure routers, switches, firewalls (Cisco, Arista, Palo Alto), and enforce policy-driven changes across hybrid environments.

2) Core Network Engineering: Hands-on expertise in Layer 2/3 protocols (MPLS, BGP, OSPF, VRRP, STP, VLANs) and physical/logical infrastructure design for large-scale, multi-region enterprise networks.

3) Infrastructure as Code (IaC): Implement version-controlled, repeatable network provisioning using Terraform modules, YAML-based configs, and Git workflows to manage complete network lifecycles.

4) Cloud Network Provisioning: Automate and manage cloud-native networking (VPCs, subnets, route tables, VPNs, Direct Connect, Transit Gateway, firewalls, NACLs, Security Groups) in AWS, Azure, and GCP.

5) CI/CD for Network Ops: Integrate network changes into CI/CD pipelines (Jenkins, GitLab CI) for test-driven deployments with linting, validation, rollback, and minimal operational downtime.

6) Internet & Perimeter Security: Configure and manage internet-edge security layers (firewall policies, DDoS protection, IPS/IDS, web proxies) and ensure secure ingress/egress traffic flows.

7) Monitoring, Telemetry & Auto-Remediation: Deploy NMS/telemetry tools (SolarWinds, Prometheus, InfluxDB) and write custom scripts for real-time alerting, anomaly detection, and event-driven remediation.

8) Troubleshooting & Packet Analysis: Perform low-level debugging using packet captures (Wireshark/tcpdump), flow telemetry, syslog, and routing table state analysis to resolve incidents in multi-vendor networks.

9) Cross-Functional Collaboration & Documentation: Collaborate with CloudOps, DevOps, Security, and platform teams to align network architecture with application needs. Maintain up-to-date HLD/LLD, runbooks, topology maps, and compliance records.

10) Innovation & Optimization: Evaluate SDN, SASE, Zero Trust, and AI-based networking solutions to continuously improve agility, reliability, and performance of the network ecosystem.