Staff 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 .

What You'll Do:

The Network Observability team is responsible for how CoreWeave observes, understands, and operates its network at scale. As a Staff Engineer for Network Observability, you will define and evolve the technical direction for network observability, partnering across Network Engineering, SRE, Platform, and adjacent infrastructure teams to build resilient telemetry systems, raise engineering standards, and turn observability into a strategic advantage for the business.

Your mission: build and scale a network observability platform that provides CoreWeave fast, trustworthy insight into network behavior, enables proactive risk detection, improves how engineering teams make decisions during both normal operations and incidents, and enables closed-loop automation workflows.

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

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

Who You Are:

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, …