Engineering Manager, 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 Observability Engineering organization at CoreWeave is responsible for the platforms and practices that help engineers understand, operate, and improve production systems at scale. This team owns and evolves the foundations for metrics, logs, traces, telemetry pipelines, and observability reliability, enabling teams to detect issues quickly, troubleshoot complex distributed systems, and operate AI infrastructure with confidence. As CoreWeave continues to scale, observability plays a critical role in delivering reliable platform experiences, improving engineering velocity, and maintaining operational excellence across a rapidly growing cloud environment. About the role: CoreWeave is seeking a Manager, Observability Engineering to lead a team responsible for building, scaling, and operating observability systems across metrics, logs, traces, and telemetry pipelines. In this role, you will define strategy and roadmap, drive platform reliability and performance improvements, and guide architectural decisions across observability infrastructure. You will partner closely with infrastructure, platform, security, and application engineering teams to improve instrumentation and production visibility. This role combines technical leadership, operational ownership, and team management to ensure observability platforms scale with business and customer needs. Who You Are:

5+ years of software engineering experience with production systems at scale 2+ years of engineering management experience leading senior engineers and technical leads Experience building and operating observability platforms across logs, metrics, traces, or alerting in distributed systems Knowledge of reliability engineering concepts including SLOs, SLIs, incident management, error budgets, and fault-tolerant design Experience scaling telemetry systems including storage backends, and query layers Experience with distributed systems, performance engineering, and trade-offs involving scale, resilience, and cost Experience partnering with infrastructure, security, and application engineering teams to drive platform adoption Experience hiring and managing engineering teams

Experience with OpenTelemetry, Grafana, Prometheus-compatible systems, log aggregation, and distributed tracing tools Experience operating cloud-native infrastructure, including Kubernetes environments Experience supporting large-scale cloud, developer platforms, or AI/ML infrastructure Familiarity with capacity planning for high-ingest telemetry systems Experience scaling platforms in high-growth environments

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