Network Engineer, Reliability & Observability

Network Engineer, Reliability & Observability ABOUT FLUIDSTACK At Fluidstack, we’re building the infrastructure for abundant intelligence. We partner with top AI labs, governments, and enterprises - including Mistral, Poolside, Black Forest Labs, Meta, and more - to unlock compute at the speed of light. We’re working with urgency to make AGI a reality. As such, our team is highly motivated and committed to delivering world-class infrastructure. We treat our customers’ outcomes as our own, taking pride in the systems we build and the trust we earn. If you’re motivated by purpose, obsessed with excellence, and ready to work very hard to accelerate the future of intelligence, join us in building what's next. ABOUT THE ROLE Fluidstack is seeking a Network Engineer, Reliability & Observability to serve as a reliability engineer championing and building process, data collections, and reliability metrics with the objective of improving the quality and reliability of AI networks from deployment through the full lifecycle of operations. This role is focused on developing processes, systems, tools, data and data pipelines, and observability to improve the quality of networks and deliver automated metrics (24x7) as well as periodic reliability reports for both internal and external customers. This role is ideal for experienced network operators who are passionate about reliability and have experience designing and building full lifecycle software such as Quality Assurance audits, circuit audits, periodic audits, failure rates and failure analysis. You are passionate about hardware (electronics and optics), software development, and you value and promote the use of data to make informed decisions in deployment, operations, and strategic sourcing. Experienced SRE (Site Reliability Engineers) with a passion for networking are encouraged to apply. FOCUS - Ownership of Quality Assurance: Design, develop, and support QA process for network hardware and networks. - Pipelines: Develop and deploy serverless workflows, server based, and manually triggered data pipelines producing network quality and reliability observability for internal and external customers. - Deployment and Operations Support: Support full lifecycle data collection and analysis partnering with Deployment, Operations, DC hardware, and logistics teams to produce data that drives process improvements and delivers on SLA and SLOs. - Process Engineering: Develop, pilot, and deploy process improvements for deployment and repair to produce data and consume data with Machine Learning to fulfill our mission. - Cross-Team Collaboration: Own without ego and execute in a collaborative team with design, deployment, operations engineers and software developers. - Subject Matter Expert: In at least two or more deep subjects such as IP routing, optics, optical transport, Ethernet, RDMA/RoCE, or electrical power. ABOUT YOU - Strong Operations Background: 5+ years in network engineering and at least 3+ years in operations with significant hands-on operational experience. You've run production networks or compute, responded to incidents at all hours, and debugged complex failures under pressure. You understand the difference between "working" and "production-ready". - Software Development: You have experience with ITIL, Agile (xP), and TDD including developing and leading programs and projects. You have experience building hyperscale platforms, demonstrating a fluency in Golang with supporting tools in Python or RUST. - Datacenter Fabric Expertise: Deep experience operating modern datacenter networks including EVPN/VXLAN, BGP, CLOS topologies, and high-radix switching. You're comfortable troubleshooting Layer 2/3 issues, BGP routing problems, fabric misconfigurations, and physical media failures.. - Incident Response Excellence: Proven ability to lead incident response, perform systematic troubleshooting, and drive issues to resolution. You remain calm during outages, communi ... (truncated, view full listing at source)