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CoreWeave

Rents GPU cloud computing for AI developers

Engineering Manager - Security Infrastructure

Engineering LeadershipPosted on Nov 13
Full-timeIn-person

About the Job

Requirements

  • At least 5 years of software engineering experience with production systems at scale.
  • At least 2 years of engineering management experience leading senior engineers and technical leads.
  • Experience building and operating security or 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.

Responsibilities

  • Lead 8 to 10 senior engineers developing, deploying, and scaling critical systems.
  • Lead a team responsible for building, scaling, and operating security systems that acquire metrics, logs, and traces through telemetry pipelines, and make the data queryable with augmented context and intelligence to derive security risks.
  • Define strategy and roadmap for security infrastructure.
  • Drive platform reliability and performance improvements.
  • Guide architectural decisions across security infrastructure.
  • Partner closely with infrastructure, platform, security, and application engineering teams to improve coverage and reliability.
  • Ensure security infrastructure scales with business and customer needs through technical leadership, operational ownership, and team management.

Desired Qualifications

  • Experience with data pipelines, including distributed event streaming platforms, Elastic, 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.

About the Company

CoreWeave

Rents GPU cloud computing for AI developers

CoreWeave rents cloud computing to AI labs and businesses that train models and run them in production for research and commercial applications. Its platform combines NVIDIA graphics chips, storage, networking, and software built for demanding AI workloads across connected clusters scaled to fit each project. CoreWeave Forge connects tools for tracking experiments, testing models, and improving AI systems using feedback from production. Customers rent computing capacity through committed contracts or usage charges, while managed services handle the infrastructure needed to keep large workloads running. CoreWeave was founded in 2017 and is headquartered in Livingston, New Jersey.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Livingston, NJ
Founded
2017

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