Staff Engineer, Network Observability

Responsibilities

• In this role, you will:
• 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
• 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

Requirements

• 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, J

Benefits

Additional Information

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 .

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