Top Engineering Jobs in New York City, NY

Design and implement distributed storage solutions for AI workloads, optimize performance, and collaborate with teams to enhance storage capabilities.

The role involves designing and building foundational platforms for operational excellence, ensuring system reliability, and improving delivery across CoreWeave. The engineer will enhance automation, support incident response, and mentor others while owning critical systems for cloud platforms.

Lead the network security team, shaping security design for large scale AI workloads while ensuring performance and reliability. Partner with Networking and Infrastructure teams to develop security standards, mitigate threats, and manage complex incidents.

As a Senior Software Engineer, you'll design and build data models, APIs, and backend services for a complex datacenter infrastructure platform, while ensuring high performance and scalability.

Lead the reliability engineering and production operations for CoreWeave's Common Services, enhancing reliability and operational excellence across teams.

The role involves leading the Observability Insights initiative at CoreWeave, focusing on developing APIs, agentic tools, and improving telemetry for AI systems. Candidates should possess significant experience in backend engineering and observability systems, especially for multi-tenant environments.

Responsibilities include designing, developing, and maintaining automated tooling for Linux systems, collaborating with teams, and ensuring software delivery.

As a Security Production Engineer, you'll ensure security systems' reliability, develop automation, collaborate on performance optimization, and mentor team members.

Lead and mentor engineers to build, scale, and maintain logging, tracing, and metrics platforms across global datacenters. Improve monitoring, alerting, automate compute integrations, manage production clusters, and advise teams on observability best practices to ensure reliability and security.

As a Staff Software Engineer, lead the architecture and operation of GPU-driven infrastructure, focusing on automation, reliability, and scalability while mentoring engineers and collaborating across teams.