Design, operate, and automate the global network and reliability layer for a high-performance NVIDIA DGX SuperPOD supporting ML workloads. Own architecture, observability, incident response, and security for mission-critical infrastructure.
210k – 240k
On-site8+ YOEDevOps / SRE
About the role
What You'll Do
Architect and operate scalable, secure network architecture for high-security requirements and large-scale machine learning workloads.
Own network device configuration management end to end, ensuring consistency and reliability across the fleet.
Improve system and network reliability and performance through automation, observability, and proactive capacity planning.
Implement and manage complex network protocols and connectivity, including BGP, VPNs, and WAN circuits and external peering.
Build and maintain comprehensive monitoring, alerting, and incident response — SLOs, runbooks, and on-call rotations — and drive post-incident analysis and continuous improvement.
Ensure security, compliance, and operational readiness across our network and cloud infrastructure.
Partner across engineering and data science to drive a culture of performance and reliability.
What Will Help You Succeed
8+ years in network or infrastructure engineering, including 5+ years in datacenter operations and/or systems and network administration.
A strong background in network security, architecture, design, and operations.
Extensive hands-on experience with network devices (firewalls, switches, load balancers) and large-scale architectures and protocols — BGP, QoS, MPLS, and IPsec VPNs.
Experience designing and operating modern datacenter network fabrics (spine-leaf, EVPN/VXLAN, ECMP).
Network automation and IaC tooling (Ansible, Terraform, Nornir, or similar), plus IPAM/DCIM platforms (NetBox, Infoblox, or similar).
WAN engineering — carrier circuit provisioning and external network peering.
Familiarity with Kubernetes networking (CNI plugins, ingress, service networking, network policy) and strong operational experience with Linux-based production infrastructure.
Experience with monitoring and observability stacks (Prometheus, Grafana, Datadog, ELK, OpenTelemetry).
Solid scripting (Python, Bash) to debug complex network and system issues and automate solutions, plus excellent cross-functional communication.
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