Principal Engineer - Observability

CoreWeave
New York, NY / Sunnyvale, CA $206k – $303kPosted 7 April 2026

Job Description

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: We are looking for a highly experienced and strategic Principal Engineer, Observability to lead the architecture, development, and operations of our Observability platform. In this role, you will define how customers monitor, troubleshoot, and operate their AI workloads at scale on CoreWeave. You will work directly with customers and partner closely with engineering leaders across multiple teams to drive a unified Observability experience across CoreWeave products—spanning metrics, logs, traces, and customer-facing insights. About the role: Lead the Observability strategy and roadmap, ensuring clear alignment with business goals, product direction, and performance/SLA objectives Design and implement low-latency, high-scale telemetry pipelines and data stores solutions that power observability across all CoreWeave products Build customer-facing experiences—dashboards, alerts, and workflows—that enable rapid troubleshooting and deep insight into AI workloads and platform health Drive reliability, durability, and self-healing across the Observability stack, owning key services in production and setting a high bar for operational excellence Shape customer experience for visibility by defining standards for metrics, SLOs, and dashboards that expose system performance and reliability in a clear, actionable way Analyze production telemetry to identify and prioritize improvements in performance, reliability, and efficiency across the platform Act as a trusted advisor to senior leadership, bringing perspective on observability trends and advocating for the right long-term technology investments Partner with engineering, infrastructure, and product teams to ensure Observability is deeply integrated into evolving architectures, APIs, and customer features Mentor and uplevel engineers across teams, promoting best practices in observability, distributed systems, and customer-focused product engineering Who You Are: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience 15+ years of experience building and operating distributed systems at scale, with a strong track record of reliability-focused engineering Proven experience leading Observability platform engineering initiatives and delivering products that directly address customer needs Strong proficiency in one or more programming languages such as Go, Python, or Rust, and comfort working in large-scale production environments Deep understanding of distributed observability systems and telemetry pipelines (e.g., ClickHouse or similar technologies for telemetry at scale) Strong understanding of cloud-native infrastructure—Kubernetes, scalable architectures, automation, and modern CI/CD and deployment practices Excellent analytical and problem-solving skills, including the ability to synthesize ambiguous customer and system signals into clear problem statements and designs Exceptional communication and collaboration skills, able to articulate observability strategies, trade-offs, and best practices to both technical and non-technical stakeholders Prior experience building end-to-end Observability solutions (metrics, logs, traces, dashboards, alerting) in production environments Preferred: Experience with modern AI platforms and workloads (e.g., large-scale training/ inference, GPU-based infrastructure, MLOps tooling) is a plus Why CoreWeave? At CoreWeave ... (truncated, view full listing at source)
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