Job Opportunities API

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, iSCS