About the RoleBuild the infrastructure behind high-performance AI systemsWe're building infrastructure that has to perform under real-world scale, reliability, and security demands-and we're looking for an engineer who wants to own the foundation it runs on.
This isn't a traditional "keep the lights on" infrastructure role.
You'll design and operate the global network and reliability layer powering distributed compute, ML workloads, real-time analytics systems, and mission-critical enterprise infrastructure. You'll work across networking, systems, automation, observability, and reliability engineering to help scale a platform where performance actually matters.
If you like solving deep infrastructure problems, building resilient systems, automating everything repetitive, and having meaningful influence over architecture decisions - you'll probably enjoy this role.
Key Responsibilities- Architect and operate scalable network architecture to support high security requirements and machine learning workloads
- Own and manage network device configuration management, ensuring consistency and reliability
- Improve system and network reliability and performance through automation, observability, and proactive capacity planning
- Implement and manage complex network protocols, including BGP and VPN configuration
- Engineer and manage WAN circuits and external connectivity
- Implement and maintain comprehensive network monitoring, alerting, and incident response processes (SLOs, runbooks, on-call rotations)
- Collaborate across engineering and data science teams to drive a culture of performance and reliability
- Ensure security, compliance, and operational readiness across our network and cloud infrastructure
- Drive post-incident analysis and continuous improvement initiatives
Must-Have Qualifications- 8+ years of experience in network engineering or infrastructure engineering roles
- 5+ years of experience with datacenter operations and/or system and network administration
- Strong background in network security, architecture, design, and operations
- Extensive experience managing network devices like Firewalls, switches, load balancers, etc.
- Extensive experience with large-scale network architectures and protocols, including BGP, QoS, MPLS and IPsec VPNs
- Experience designing and operating modern datacenter network fabrics (spine-leaf, EVPN/VXLAN, ECMP)
- Experience with network automation frameworks and IaC tooling such as Ansible, Terraform, Nornir, or similar technologies
- Experience with IPAM/DCIM platforms such as NetBox, Infoblox, or similar systems
- Experience with WAN engineering, carrier circuit provisioning and external network peering
- Familiarity with Kubernetes networking concepts, including CNI plugins, ingress, service networking, and network policy
- Strong operational experience with Linux-based production infrastructure
- Experience with monitoring and observability stacks (e.g., Prometheus, Grafana, Datadog, ELK, OpenTelemetry)
- Good programming skills and ability to apply sound coding principles to scripting with languages such as Bash (shell scripting) and/or Python.
- Ability to debug complex network and system issues and automate solutions in scripting languages
- Excellent communication skills and the ability to work cross-functionally
Nice-to-Have- Experience with NVIDIA networking technologies such as Cumulus Linux, InfiniBand, Spectrum-X and BlueField DPUs
- Familiarity with data-intensive platforms (Spark, Airflow, Kafka, etc.) and data storage network protocols (NFS, LustreFS, iSCSI)
- Experience with security practices for applications and infrastructure
- Experience in high-compliance or SOC-2 environments
What You'll Get- Ownership of mission-critical network and infrastructure in a company solving real-world enterprise problems
- A front-row seat to a high-performance engineering culture
- The ability to influence how our network scales-from architecture to incident management
- An environment that values curiosity, accountability, and impact
