Senior Engineer, Network Observability

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . We're proud to be a Living Wage accredited Employer. What You'll Do: CoreWeave’s Network Observability team designs, develops, and maintains the telemetry and monitoring systems that keep our global GPU cloud network operating reliably and at scale. We focus on building automated ingestion pipelines that provide real-time performance insights, empowering the broader engineering organization to detect anomalies proactively and resolve them before they ever impact our customers. About the role: As a Senior Engineer for Network Observability, you will be a key player in optimizing and scaling our network metrics, analytics, and automated alerting systems. You will build and automate custom collectors, exporters, and dashboards using Python and Golang to ingest and unify telemetry across multi-vendor network platforms (including Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux). This position requires you to design telemetry solutions using gNMI, SNMP, and streaming analytics, integrate these systems into Kubernetes-native environments, and collaborate cross-functionally via RFCs and design discussions with SRE and security teams. You will also join a rotating on-call schedule to support production environments and mentor junior team members on observability best practices. Who You Are: 5+ years of experience working as a Network Engineer, SRE, Software Developer, or Systems Administrator in large-scale production environments with a focus on telemetry. Deep technical familiarity with Prometheus, Grafana, Alertmanager, gNMI, and SNMP, including experience writing or extending custom metric collectors and exporters. Proficient in Python, Go, and Bash scripting, alongside configuration management and templating tools (e.g., Ansible, Jinja2). Solid engineering knowledge of Linux systems and IP networking concepts (routing, switching, and protocol troubleshooting). Hands-on familiarity with diverse network operating systems, such as Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, or SR Linux. Strong experience containerizing solutions in Kubernetes and deploying container-based workloads efficiently. Passion for automation-first development to minimize manual tasks and eliminate operational error. Preferred: Bachelor’s degree in Computer Science, Engineering, or a related technical field. Experience with advanced metrics, data pipelines, event correlation, or distributed tracing tools (e.g., OpenTelemetry, Jaeger, Zipkin). Practical experience applying Machine Learning techniques or frameworks (e.g., TensorFlow, scikit-learn) for proactive network traffic anomaly detection. Industry network certifications (e.g., CCNA, CCNP, or vendor equivalents). Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk. You love to build robust telemetry pipelines and automate repetitive configuration tasks to achieve near-zero human error. You're curious about multi-vendor network platform scaling and unifying complex metrics into a single, high-throughput streaming analytics layer. You're an expert in breaking down telemetry anomalies, engineering custom alerting rules, and collaborating cross-functionally to raise platform reliability standards. Why CoreWeave…