IT Systems Engineer: Cloud Infrastructure

CoreWeave•San Francisco, NY

5d•Onsite

About The Position

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . About the Team: The IT Engineering at CoreWeave designs, builds, and operates the systems that enable our employees and acquired organizations to work securely and efficiently at scale. The team partners closely with Security, Business Development, PeopleOps, and Corporate functions to deliver resilient, standardized, and automation-first IT solutions that support CoreWeave’s rapid growth. About the Role: CoreWeave is hiring an IT Systems Engineer (Cloud Infrastructure) to build and operate the GCP, Azure, and AWS platforms that power our internal IT and enterprise systems. The role covers cloud infrastructure, enterprise IT, and the operational reliability of the platforms those systems run on. You will work hands-on across our internal cloud foundations: landing zones, hybrid connectivity to data centers, and the infrastructure behind identity, collaboration, IT operations, and internal tooling. The work is execution-heavy. You will also mentor junior engineers and contribute to team-level technical decisions.

Requirements

7–10 years of experience as a Systems, Cloud, or Infrastructure Engineer supporting production environments.
Strong hands-on GCP experience, including networking, IAM, compute, storage, security, and observability in multi-project environments.
Working experience with at least one additional public cloud platform, preferably Azure or AWS, and the ability to apply equivalent infrastructure concepts across cloud providers.
Strong hands-on experience using Terraform to provision and manage cloud infrastructure, including reusable modules, remote state, plan review, troubleshooting, and CI/CD-based deployment.
Working knowledge of cloud networking, including VPCs/VNets, subnets, routing, DNS, firewalls, load balancers, peering, VPNs, and private connectivity.
Experience managing IAM, service accounts, workload identities, secrets, and least-privilege access.
Experience using Git-based development workflows, pull requests, code reviews, and automated validation.
Experience operating Linux and Windows workloads in the cloud, including deployment, configuration, patching, hardening, and troubleshooting.
Experience implementing monitoring, logging, alerting, dashboards, and operational runbooks for cloud infrastructure and workloads.
Proficiency in at least one scripting language, such as Python, Bash, or PowerShell.
Demonstrated ability to troubleshoot production issues across infrastructure, networking, IAM, operating systems, and application dependencies.
Clear communication of technical decisions, risks, and trade-offs to technical and non-technical stakeholders.

Nice To Haves

Experience using AI-assisted development tools to accelerate infrastructure engineering, scripting, troubleshooting, and documentation.
Familiarity with agentic AI concepts and experience building AI-enabled, end-to-end automation or operational workflows.
Experience integrating AI models or agents with enterprise systems, APIs, cloud services, and automation platforms.
You're deeply hands-on with cloud platforms—especially GCP—and enjoy building infrastructure as code with Terraform across multi-cloud environments.
You have strong problem-solving skills with a proactive, analytical mindset and thrive troubleshooting production issues across infrastructure, networking, and IAM.
You have excellent communication skills, a demonstrated ability to mentor others, and enjoy collaborating across teams in a fast-paced environment.

Responsibilities

Cloud foundations and architecture (GCP, Azure and AWS)
Provision and manage cloud resources within established landing zones, including compute, storage, IAM, and workload configuration.
Manage IAM, service accounts, Workload Identity Federation, and Secret Manager for internal workloads, aligned with security baselines established by the cloud council.
Build and maintain Infrastructure as Code using Terraform, including GCP-specific modules for project factory and IAM.
Partner with Security and Networking teams to implement approved zero-trust and defense-in-depth patterns for internal cloud services
Contribute to cloud migrations and integrations tied to company growth, including acquisitions and platform consolidations.
Infrastructure you'll own
Build and operate the cloud infrastructure behind CoreWeave's internal IT platforms and enterprise tooling.
Core enterprise platforms in GCP projects, multi-tenant Azure, and AWS
Shared internal services: VDI, bastion hosts, internal APIs, job runners, and internal tooling
GCP-native workloads on GKE, Cloud Run, or Compute Engine
Operations, reliability, and automation
Maintain the reliability of internal cloud environments, including performance, capacity, cost, and security posture.
Set up and maintain monitoring, alerting, and logging across GCP, Azure, and AWS environments.
Implement, test, and maintain backup, disaster recovery, and failover configurations based on defined recovery requirements.
Identify bottlenecks and propose fixes across performance, security, and scalability.
Build automation for common workflows using Cloud Build, GitHub Actions, or similar pipelines.
Contribute to CI/CD pipelines for infrastructure deployment and management.
Troubleshoot production issues, participate in incident response, and contribute to root-cause analysis and corrective actions.
Mentorship and collaboration
Support and mentor less-experienced engineers through troubleshooting, documentation, code reviews, and knowledge sharing.
Be a reliable technical resource for the team.
Work with engineers across teams on system integrations.
Explain technical ideas and trade-offs to engineers and non-engineers alike.