Senior Network Engineer
- Dunwoody, GA, United States
$210,000 to $240,000 USD / year
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Job details
- Pay
- $210,000 to $240,000 USD / year
- Posting language
- English
- Posted
Original 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
More about this job
Skills
- ML
- Security regulations
- Machine learning
- BGP
- VPN
- WAN
- Incident response
- Regulatory compliance
- Process improvement
- Network administration
- Infrastructure as code
- Ansible
- IBM Terraform
- Kubernetes
- Linux
- Prometheus
- Grafana
- Datadog
- Communication skills
- Apache Spark
- Apache Airflow
- Apache Kafka
- Data storage