Network & Site Reliability Engineer
US$210,000 – US$240,000 / yr base salary
Posted 12 Jun 2026
Advertised as “Senior Network & Site Reliability Engineer”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 8+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$210,000 – US$240,000 / yr |
|---|
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
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Architect and operate scalable, secure network architecture for high-security requirements and large-scale machine learning workloads.
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Own network device configuration management end to end, ensuring consistency and reliability across the fleet.
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Improve system and network reliability and performance through automation, observability, and proactive capacity planning.
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Implement and manage complex network protocols and connectivity, including BGP, VPNs, and WAN circuits and external peering.
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Build and maintain comprehensive monitoring, alerting, and incident response — SLOs, runbooks, and on-call rotations — and drive post-incident analysis and continuous improvement.
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Ensure security, compliance, and operational readiness across our network and cloud infrastructure.
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Partner across engineering and data science to drive a culture of performance and reliability.