Top Engineering Jobs in New York City, NY

The Staff Software Engineer leads the Developer Experience team, driving technical strategies and addressing complex developer productivity challenges at CoreWeave, focusing on building robust developer platforms and enhancing engineering processes.

The Senior Production Engineer will lead the engineering of reliable systems for cloud operations, focusing on architecture, automation, and incident response.

Design and implement solutions for managing a global server fleet, utilizing Go and Python, while working with Kubernetes and automation tools.

The role involves designing and building automated compliance pipelines, implementing policy-as-code, and integrating security scanning into CI/CD processes to ensure compliance and secure AI infrastructure.

Design, operate, and set technical direction for API and Kubernetes gateways. Lead large-scale networking migrations, manage L4/L7 traffic, TLS/mTLS, rate limiting, observability, and mentor engineers while coordinating across cross-functional teams.

As a Senior Software Engineer, you'll develop Go-based services for managing large-scale GPU data center infrastructure, focusing on automation, APIs, and monitoring tools.

The Senior Software Engineer will design and support Kubernetes infrastructure, develop applications in Go, and enhance platform reliability, performance, and observability in CoreWeave's AI-focused environment.

Lead administration and optimization of Ironclad CLM and other legal systems; design contract workflows, build integrations with CRM/ERP/procurement/billing/identity systems, develop reports and analytics, manage security and data governance, support migrations and enhancements, troubleshoot issues, and create documentation and training for legal and business stakeholders.

Seeking a Staff Storage Engineer to design and build control plane for an AI storage platform, focusing on scalability and performance across diverse environments.

Design, build, and operate large-scale data ingestion, storage, and query systems for AI/ML experiment tracking. Architect and optimize distributed backend services (petabyte-scale), implement customer-facing APIs, run services on Kubernetes/cloud, diagnose production issues, lead architectural initiatives, and mentor junior engineers.