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CoreWeave · 2 days ago

Senior Engineer, Network Observability

Bellevue, WA

Full-time

Hybrid

Senior Level

$139K/yr - $204K/yr

CoreWeave is The Essential Cloud for AI™, delivering a platform of technology and tools for innovators to build and scale AI. The Senior Engineer for Network Observability will design, develop, and maintain monitoring and observability systems for CoreWeave’s GPU cloud network, ensuring reliable operation and proactive issue resolution.

Artificial Intelligence (AI)Cloud ComputingCloud InfrastructureInformation TechnologyMachine Learning

No H1B

U.S. Citizen Only

Responsibilities

Develop, optimize, and maintain network observability platforms. Use your skills in Python and Golang to create and automate collectors, exporters, and dashboards that provide deep visibility into network health and performance

Collaborate with Network Engineering and Platform teams to ingest and unify logs, metrics, and events from a variety of platforms (Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, SR Linux, etc.) into a single observability pipeline

Design and implement scalable telemetry solutions using protocols like gNMI, SNMP, and streaming analytics. Ensure advanced alerting and anomaly detection with tools such as Prometheus, Grafana, and Alertmanager

Work closely with network developers, site reliability engineers, and security teams to integrate observability solutions across the broader infrastructure. Participate in design discussions, RFCs, and architectural decisions

Join a rotating on-call schedule to troubleshoot and resolve observability-related issues. Provide timely support to operations teams, quickly isolating and fixing problems when they arise

Guide junior team members, share best practices, and foster a culture of continuous learning and improvement within the observability domain

Qualification

PythonGolangPrometheusGrafanaSNMPGNMIKubernetesLinux systemsNetwork EngineeringAnsibleBashMachine LearningNetwork CertificationsDistributed Tracing

Required

Deep familiarity with Prometheus, Grafana, Alertmanager, gNMI, and SNMP. Experience writing or extending custom metric collectors/exporters is a plus

Experience as a Network Engineer, SRE, Software Developer, or Systems Administrator in large-scale environments. A track record of building and operating robust telemetry and monitoring solutions is a plus

Passion for automating tasks and processes. You find satisfaction in creating workflows that handle repetitive tasks and reduce human error to near zero

Comfortable containerizing solutions in Kubernetes, designing, building, and deploying container-based workloads efficiently

Proficient with Python, Go, and Bash, plus familiarity with configuration management and templating tools (e.g., Ansible, Jinja2)

Strong knowledge of Linux systems and IP networking concepts, with hands-on experience in routing, switching, and network troubleshooting

Practical knowledge with a variety of platforms, including Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux

Collaborative, humble, and always ready to help others while staying open to learning from more senior colleagues

Preferred

College Education: Bachelor's degree in Computer Science or a related field

Machine Learning for Anomaly Detection: Hands-on experience applying ML techniques or tools (e.g., TensorFlow, scikit-learn) to proactively detect performance or security anomalies in network traffic

Network Certifications: Certifications like CCNA, CCNP, or similar

Advanced Metrics & Analytics: Hands-on experience with data pipelines, event correlation, or anomaly detection in large-scale environments

Distributed Tracing: Familiarity with OpenTelemetry, Jaeger, or Zipkin for end-to-end tracing across microservices and network components