Checked at the source just now
With your free Joonow account, you continue to the company site and the job stays in your applications.
No real employer charges a fee, a course, an exam or a uniform. Suspicious?
Job description
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
Build the infrastructure behind high-performance AI systems
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.
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