Top Tech Jobs & Startup Jobs in NYC, NY

The Staff Business Systems Engineer will lead the optimization of Core Financials and Tax systems, focusing on NetSuite ERP integration and compliance, while partnering with various teams to enhance operational efficiency.

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 end-to-end execution of data center operations programs, owning roadmaps, milestones, and SOPs. Drive hardware logistics, rack integration, and facility readiness, remove bottlenecks, manage program health reporting, risk mitigation, and cross-functional coordination to ensure scalable, reliable infrastructure and deliver data-driven insights to leadership.

Lead end-to-end white space design for global data centers: develop and maintain the White Space Basis of Design, perform technical reviews of power and cooling layouts, manage internal and external design resources, and coordinate with Construction, Operations, Network Engineering, and Commissioning to ensure scalable, constructable, and operational designs for high-density compute environments.

The Corporate Development Associate supports Equity Capital Markets and Investor Relations activities, engaging with analysts and managing investor communications and quarterly earnings.

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.

Manage fleet repair and remediation projects for data center hardware: oversee RMA generation and issue resolution, coordinate across fleet engineering, data center technicians, and vendors, analyze ticket and workflow data to identify bottlenecks, produce infrastructure and client-facing performance reports, and lead process improvements and project evaluations to optimize operations.

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.

Develop and maintain forecasts for cloud infrastructure, align capacity with sales, collaborate across Sales, Engineering, Finance, and Ops to optimize resource allocation, track forecast accuracy and utilization, and provide strategic insights to leadership to avoid deployment bottlenecks.