Operations Engineering Manager, Fleet Reliability at CoreWeave

Livingston, New Jersey, United States

CoreWeave Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Cloud Computing, Data CentersIndustries

Requirements

  • Seven or more years of experience in a software or infrastructure engineering industry, of which at least two years were in a leadership capacity

Responsibilities

  • Build and lead a 24/7 team of process-oriented, reliability and observability-focused engineers
  • Lead the socialization and documentation of clear and consistent processes for provisioning, validating, and troubleshooting nodes in our server fleet
  • Think critically about and advocate for process and automation improvements prioritizing event-driven automated remediation as the end goal
  • Provide a 24/7 engineering support function for high-criticality, time-sensitive node delivery and maintenance
  • Drive and improve our program of onboarding, documentation, enablement, and performance management to help your team members achieve new heights of personal growth and capability
  • Drive the culture and tone for how your team keeps score both in how they communicate with and support each other and how they enable the rest of CoreWeave

Skills

Automation
Observability
Server Provisioning
Hardware Triage
Fleet Management
Team Leadership
Onboarding
Training
Process Leadership
Reliability Engineering

CoreWeave

Cloud service for GPU-accelerated workloads

About CoreWeave

CoreWeave provides cloud computing services that focus on GPU-accelerated workloads, which are essential for tasks requiring high computational power. Their services cater to industries such as artificial intelligence, machine learning, visual effects rendering, and data processing. Clients can access powerful computing resources on a pay-as-you-go basis, allowing them to avoid the costs of purchasing expensive hardware. CoreWeave's infrastructure utilizes a bare metal serverless Kubernetes platform, which enhances performance while minimizing operational complexity for users. This setup enables clients to optimize their computing needs with a variety of NVIDIA GPUs, ensuring they can balance performance and cost effectively. The company's goal is to offer flexible and scalable computing solutions that meet the demands of diverse clients, from tech companies to film studios.

New York City, New YorkHeadquarters
2017Year Founded
$1,625.4MTotal Funding
SECONDARYCompany Stage
Enterprise Software, AI & Machine LearningIndustries
501-1,000Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Health Savings Account/Flexible Spending Account
Tuition Reimbursement
Mental Health Support
Family Planning Benefits
Paid Parental Leave
Hybrid Work Options
401(k) Company Match
Unlimited Paid Time Off
Catered lunch each day in our office and data center locations
A casual work environment

Risks

Increased competition from Vultr, backed by AMD, may impact CoreWeave's market share.
The planned IPO in 2025 could expose CoreWeave to market volatility and scrutiny.
Reliance on NVIDIA GPUs poses risks if supply chain issues arise.

Differentiation

CoreWeave specializes in GPU-accelerated workloads, catering to AI and high-performance computing.
Their infrastructure uses a bare metal serverless Kubernetes platform for high performance.
CoreWeave offers a flexible pay-as-you-go pricing model, appealing to cost-conscious clients.

Upsides

CoreWeave's partnership with Dell enhances infrastructure, attracting clients seeking advanced AI solutions.
The $600M data center funding in Virginia supports CoreWeave's expansion in the AI cloud market.
Experienced leadership, like CIO Sandy Venugopal, positions CoreWeave for strategic growth.

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