Network Engineer
On-siteBengaluru, Karnataka, India
Job Summary
Design, build, and maintain scalable, secure, and highly available network infrastructure across cloud and on-premises environments, including AWS, Azure, and GCP. Architect enterprise-grade solutions supporting AI infrastructure, Kubernetes clusters, and GPU workloads while implementing hybrid connectivity and multi-region redundancy. Monitor, troubleshoot, and optimize network performance for production environments, investigating latency and packet loss issues. Automate provisioning using Infrastructure-as-Code and build monitoring dashboards for network health and observability. Implement secure practices including firewalls, Zero Trust principles, and load balancers to ensure compliance and operational excellence.
Required Qualifications
- 4+ years of experience designing and managing enterprise or cloud network infrastructure
- Strong understanding of TCP/IP, routing protocols (BGP, OSPF), VLANs, VPNs, DNS, DHCP, NAT, and load balancing
- Experience with cloud networking across AWS, Azure, or Google Cloud Platform
- Experience with firewalls, network security appliances, VPN gateways, and network access control
- Familiarity with Linux networking, packet analysis, and troubleshooting tools such as tcpdump, Wireshark, iperf, and traceroute
- Experience with Infrastructure-as-Code tools such as Terraform and Ansible
- Knowledge of container networking using Docker and Kubernetes
- Experience with observability tools including Prometheus, Grafana, OpenTelemetry, or equivalent monitoring platforms
- Familiarity with CI/CD pipelines and infrastructure automation
- Understanding of high-availability networking, disaster recovery, and business continuity planning
- Strong troubleshooting and debugging skills in distributed production environments
- Founder-level ownership and bias for action
- Strong strategic thinking and ability to connect technical decisions to business impact
- Excellent communication and mentoring skills
- Thrives in ambiguity, fast-paced environments, and early-stage startup culture
Desired Qualifications
- Hands-on experience with Kubernetes networking, CNI plugins, ingress controllers, and service meshes
- Experience supporting networking for AI/ML infrastructure, GPU clusters, or high-performance computing (HPC) environments
- Familiarity with InfiniBand, RDMA, RoCE, or high-speed data center networking
- Experience supporting Kubernetes production clusters and cloud-native networking
- Exposure to service meshes such as Istio or Linkerd
- Experience with SDN technologies and software-defined networking platforms
- Experience developing automation using Python, Go, or Bash
- Knowledge of GitOps workflows and infrastructure lifecycle management
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