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CoreWeave

Rents GPU cloud computing for AI developers

Senior Software Engineer - Security Products

Backend EngineeringUpdated on Nov 13
Full-time

About the Job

Requirements

  • Strong professional experience building and operating production backend services and improving their reliability, performance, and maintainability.
  • Experience designing and implementing RESTful and/or gRPC APIs.
  • Deep understanding of distributed-systems principles, including consistency, concurrency, fault tolerance, networking, and service-to-service communication.
  • Fluency in Go, Java, C++, or Python, and willingness to work primarily in Go.
  • Experience with relational or distributed data stores, asynchronous processing, and service integration patterns.
  • Strong testing practices, including unit, integration, contract, load, and failure-mode testing as appropriate.
  • Ability to communicate technical decisions clearly in design documents, reviews, and cross-functional discussions.
  • Sound judgment when working with sensitive data, trust boundaries, authorization decisions, and security-sensitive failure modes.

Responsibilities

  • Design and implement scalable, reliable backend services using REST and/or gRPC APIs.
  • Define clear API contracts, service boundaries, data models, and integration patterns.
  • Own services through their full lifecycle: architecture, implementation, testing, deployment, observability, on-call support, and continuous improvement.
  • Improve service reliability through effective error handling, retries, timeouts, idempotency, back-pressure, capacity planning, and graceful degradation.
  • Establish and use service observability, including metrics, logs, traces, dashboards, and actionable alerts to understand system health and customer impact.
  • Participate in design reviews, code reviews, incident response, and post-incident improvements.
  • Collaborate with Product, Security Engineering, Infrastructure, and partner teams to deliver secure and usable platform capabilities.
  • Design and support integrations with customers’ on-premises and cloud environments and with their security products, such as identity providers, key-management services, HSMs, SIEMs, and policy or access-control systems.
  • Work with customers and internal stakeholders to understand integration constraints, define reliable contracts, and guide secure adoption across heterogeneous environments.
  • Make pragmatic trade-offs between near-term delivery, long-term maintainability, performance, and operational risk.
  • Mentor engineers and contribute to a culture of technical excellence, ownership, and continuous learning.

Desired Qualifications

  • Experience designing or building authorization systems at scale, including policy evaluation, permissions, tenant isolation, or least-privilege access.
  • Experience with encryption, key management systems, cloud key management services, HSMs, or KMIP.
  • Experience with OAuth 2.0, OpenID Connect, workload identity, federation, or related identity protocols.
  • Experience with SCIM, enterprise identity integrations, single sign-on, or lifecycle management.
  • Experience with site reliability engineering and reliability practices, including incident response, error budgets, capacity planning, and operational readiness.
  • Experience with service observability using metrics, structured logging, distributed tracing, and production diagnostics.
  • Experience with load testing, performance analysis, capacity modeling, and scaling strategy.
  • Experience with Kubernetes, cloud infrastructure, infrastructure as code, or platform engineering.
  • Experience building security products for enterprise, regulated, or otherwise security-sensitive customers.
  • Experience integrating SaaS or cloud services with customer-managed on-premises infrastructure, private clouds, public clouds, and enterprise security products.

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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