Flexible Network Configuration Jobs (NOW HIRING)

Job Summary:
CoreWeave is The Essential Cloud for AI™, delivering a platform that enables innovators to build and scale AI with confidence. The Staff Engineer for Network Observability will define and evolve the technical direction for network observability, collaborating across teams to build resilient telemetry systems and improve engineering standards.
Responsibilities:
• Set technical direction for network observability across multiple teams, ensuring the platform, data models, and telemetry strategy align with long-term engineering and business goals
• Lead the design and evolution of scalable observability solutions using diverse collector technologies (e.g., gNMI, SNMP, Prometheus scraping, OTEL, logs, flows, etc.), persistence databases (e.g., Prometheus-like, Loki, Clickhouse), and visualization and alerting ones (e.g., Grafana, Alertmanager), with a strong focus on reliability, usability, and future scale
• Drive cross-team initiatives to standardize observability patterns, improve signal quality, and create a consistent approach to logs, metrics, events, flows, and related diagnostics across the network stack
• Partner closely with engineering leadership and technical stakeholders to prioritize investments, navigate ambiguity, and make high-leverage technical tradeoffs that improve resilience, scalability, and operator efficiency
• Act as a go-to technical expert for critical observability challenges, especially when incidents, architectural complexity, or unclear ownership require strong judgment and coordination
• Mentor junior and senior engineers through technical reviews, design guidance, and hands-on problem solving, raising the bar for engineering quality and multiplying the impact of the broader team
• Participate in design discussions, RFCs, and architectural decisions across the broader infrastructure organization, helping teams converge on scalable, maintainable solutions
• Join a rotating on-call schedule as a senior escalation point for observability-related issues, helping teams quickly isolate failures, improve incident response, and drive durable follow-through after outages
Qualifications:
Required:
• Deep expertise in building flexible network observability solutions, with diverse implementation options for collectors, distribution, processing, persistence, alerting, analytics, and visualization
• Experience as a Network Engineer, SRE, Software Engineer, or Systems Engineer in large-scale environments, with a strong track record of building and operating observability or infrastructure platforms that support multiple teams
• Demonstrated ability to lead through ambiguity, shape technical direction, and make sound architectural and operational tradeoffs that balance immediate needs with long-term maintainability
• Strong systems thinking and practical experience designing resilient, scalable solutions that improve visibility, incident response, and engineering efficiency
• Proven ability to work across teams and functions, influence without formal authority, and build trust with both technical and non-technical stakeholders
• Proficient with Python, Go, and Bash, plus familiarity with configuration management and templating tools such as Ansible and Jinja2
• Comfortable containerizing and operating solutions in Kubernetes, including designing, building, and deploying container-based workloads efficiently
• Strong knowledge of Linux systems and IP networking concepts, with hands-on experience in routing, switching, and network troubleshooting
• Practical experience with networking platforms such as SONiC, HPE Junos, NVIDIA Cumulus Linux, Nokia SR OS, and SR Linux
• A strong mentorship mindset and a history of helping other engineers grow through coaching, design feedback, documentation, and technical leadership
Preferred:
• Bachelor's degree in Computer Science or a related field
• Hands-on experience applying machine learning techniques or tools to proactively detect performance or security anomalies in network traffic
• Experience with OpenTelemetry, Jaeger, Zipkin, or similar tooling for end-to-end tracing across distributed systems and infrastructure components
• Experience shaping technical roadmaps, setting standards, or leading platform investments that materially improved reliability or scalability across multiple teams
• Network certifications such as CCNA, CCNP, or similar
Company:
CoreWeave provides cloud infrastructure services designed to support artificial intelligence and high-performance computing workloads. Founded in 2017, the company is headquartered in Livingston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.