Senior Engineer, Network Observability

• Develop, optimize, and maintain network observability platforms. Use Python and Golang to create 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 various 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 Prometheus, Grafana, 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.

• Deep familiarity with Prometheus, Grafana, Alertmanager, gNMI, SNMP. Experience writing or extending custom metric collectors/exporters.
• Experience as a Network Engineer, SRE, Software Developer, or Systems Administrator in large-scale environments. Track record of building and operating robust telemetry and monitoring solutions.
• Passion for automating tasks and processes.
• Comfortable containerizing solutions in Kubernetes and deploying container-based workloads efficiently.
• Proficient with Python, Go, Bash, and familiar with configuration management tools (Ansible, Jinja2).
• Strong knowledge of Linux systems and IP networking concepts, including routing, switching, and network troubleshooting.
• Practical knowledge with platforms such as Arista EOS, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux.
• Collaborative, humble, and open to learning from senior colleagues., * Bachelor’s degree in Computer Science or related field.
• Experience applying machine learning for anomaly detection (TensorFlow, scikit-learn).
• Network certifications (CCNA, CCNP, etc.).
• Experience with data pipelines, event correlation, or anomaly detection in large-scale environments.
• Familiarity with OpenTelemetry, Jaeger, or Zipkin for distributed tracing.

• Family-level medical insurance.
• Family-level dental insurance.
• Generous pension contribution.
• Life assurance at 4× salary.
• Critical illness cover.
• Employee assistance programme.
• Tuition reimbursement.
• Work culture focused on innovative disruption.

All candidates must undergo a basic criminal record check in compliance with GDPR. Employment offers are conditional upon satisfactory results.

CoreWeave is a cloud platform that empowers AI innovation. Founded in 2017, it provides infrastructure, tools, and expertise to improve performance.