Senior Network Engineer

The role

You will design and operate the global network and reliability layer for a private supercomputer. This involves working across networking, systems, automation, observability, and reliability engineering to scale the platform.

What you will 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.
• 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 monitoring, alerting, and incident response including SLOs, runbooks, and on-call rotations.
• Ensure security, compliance, and operational readiness across network and cloud infrastructure.
• Partner across engineering and data science to drive a culture of performance and reliability.

Required qualifications

• 8+ years in network or infrastructure engineering.
• 5+ years in datacenter operations and/or systems and network administration.
• 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).
• Experience with 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).
• 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.

Nice to have

• NVIDIA networking technologies — Cumulus Linux, InfiniBand, Spectrum-X, and BlueField DPUs.
• Familiarity with data-intensive platforms (Spark, Airflow, Kafka) and storage network protocols (NFS, LustreFS, iSCSI).
• Security practices for applications and infrastructure, and experience in high-compliance or SOC 2 environments.

Benefits

• Meaningful equity

About the company

Alembic is a Causal AI platform used by Fortune 100 companies to drive business outcomes. The company is backed by a $145M Series B.