Top Engineering Jobs in New York City, NY

Seeking an experienced Hardware Engineer to design, develop, and optimize server hardware and liquid cooling infrastructure, collaborating with cross-functional teams and vendors.

The role involves designing and implementing distributed storage solutions for AI workloads, developing scalable storage systems, optimizing performance, and mentoring engineers. It requires collaboration with various teams to ensure system reliability and efficiency.

Lead the evolution of CoreWeave AI Object Storage's security, manage cross-functional teams, and develop secure cloud-scale storage systems.

Lead and expand the SRE/Production Engineering team to ensure platform reliability, performance, and operational efficiency. Drive SRE strategy, automation-first practices (IaC, Terraform, Kubernetes), incident management, postmortems, SLO/SLA frameworks, on-call strategy, and system hardening. Collaborate with engineering, product, hardware, and security teams to build scalable, resilient, self-healing AI-focused cloud infrastructure.

Design, build, and operate Go-based distributed services for GPU data center infrastructure. Develop automation for hardware discovery, lifecycle management, health monitoring, remediation, BMC and firmware workflows, observability, and fleet-scale operations. Lead architecture and incident-driven reliability improvements while collaborating across infrastructure, hardware, and operations teams. Provide technical leadership through design reviews, mentorship, and strategic engineering guidance.

Leads and develops a regional Solutions Architecture team responsible for complex customer deployments across cloud and on-premises environments. The role combines people management with hands-on architecture reviews, infrastructure troubleshooting, technical escalations, customer workshops, and deployment planning. It owns regional coverage, hiring, performance management, reusable Terraform and Helm assets, runbooks, enablement, and feedback to Product and Engineering. Required expertise includes Kubernetes, Docker, cloud platforms, networking, Linux, Python, infrastructure as code, SaaS, and customer-managed deployments.

Own and run backend Go services for billing: demand/capacity matching, metering-to-invoicing pipeline, customer-facing APIs and dashboards. Ensure audit-grade revenue lineage, SLAs, observability, production hardening, and on-call readiness. Drive technical initiatives, mentor engineers, and collaborate with RevOps, Finance, and Product.

Build and maintain fault-tolerant bare-metal Kubernetes control planes and automated tooling using Python, Golang, and Bash. Perform day-2 maintenance, debugging, upgrades, reliability improvements with Grafana, design automated tests, and participate in on-call rotation.

As a Senior Cloud Support Engineer, you'll provide high-level support for GPU workloads, mentor team members, resolve complex technical issues, and enhance customer satisfaction through technical expertise and problem-solving.

As a Senior Software Engineer on the Developer Experience team, you will drive architectural decisions, design systems for developer productivity, mentor engineers, and enhance the platform's capabilities to improve developer workflows and system reliability.