Senior Network & Site Reliability Engineer

ABOUT US

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.)

ABOUT THE ROLE

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" role.

You'll design and operate the global network and reliability layer behind one of the world's fastest private supercomputers — the fabric powering distributed compute, ML workloads, real-time analytics, and mission-critical enterprise systems. You'll work across networking, systems, automation, observability, and reliability engineering to scale a platform where performance genuinely matters, with real influence over architecture decisions.

It's a strong fit if you like solving deep infrastructure problems, building resilient systems, automating everything repetitive, and owning architecture rather than just maintaining it.

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.

ALSO HELPFUL

- NVIDIA networking technologies — Cumulus Linux, InfiniBand, Spectrum-X, and BlueField DPUs (this is the fabric behind our SuperPOD).

- Familiarity with data-intensive platforms (Spark, Airflow, Kafka) and storage network protocols (NFS, LustreFS, iSCSI).

- Security practices …