Senior Network Engineer

Alembic is the pioneering Causal AI platform. We help the world's largest enterprises move past correlation to prove what actually drives business outcomes — the question marketing and growth teams have never been able to answer with confidence. Fortune 100 companies including Nvidia, Delta Air Lines, and Mars use Alembic to make multimillion-dollar decisions on trusted, causal evidence.

We're backed by a $145M Series B from WndrCo (founded by Jeffrey Katzenberg), Jensen Huang, Joe Montana, Prysm Capital, and Accenture. Our models run on our own NVIDIA DGX SuperPOD built on Grace Blackwell infrastructure — one of the fastest private supercomputers in the world. (We've melted GPUs getting here.)

We’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.

• 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

• 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

• 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

• 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