4 days ago
Base Salary
$153k - $204k/yr
Responsibilities
- Design, implement, and operate SIEM infrastructure.
- Develop data pipelines that acquire large volumes of data across infrastructure surfaces.
- Build scalable solutions with security, data platform, and infrastructure teams.
- Work hands-on with data processing, data lakes, Elasticsearch, and related technologies for security data analysis.
- Support security observability, detections, insider risk, and threat hunting programs.
Requirements
- At least 5 years of experience in security engineering or infrastructure engineering.
- Bachelor’s degree in Computer Science or a related field.
- Strong understanding of large-scale data processing and data pipelines.
- Proficiency in Go, Python, or similar programming languages, with the ability to build production tooling and automation.
- Experience with Kubernetes.
- Preferred experience building SIEM, data, or observability platforms.
Benefits
- Medical, dental, and vision insurance fully paid by CoreWeave for US-based full-time employees.
- Company-paid life insurance, voluntary supplemental life insurance, and short- and long-term disability insurance.
- Flexible Spending Account and Health Savings Account.
- Tuition reimbursement and eligibility to participate in the Employee Stock Purchase Program.
- Mental wellness benefits through Spring Health and family-forming support through Carrot.
- Paid parental leave and flexible full-service childcare support through Kinside.
- 401(k) with an employer match.
- Flexible paid time off.
- Catered lunch at office and data center locations.
- Casual work environment and a culture focused on innovative disruption.
- Benefits vary by location and are shared during the hiring process.
Tech Stack
Categories
Data EngineeringSecurity
About CoreWeave
CoreWeave provides a GPU-accelerated cloud for AI training and inference, VFX, and rendering, with bare-metal instances, Kubernetes orchestration, and managed services to scale workloads. It sells on-demand and reserved capacity to AI labs, startups, and enterprises, and offers SaaS tools and hands-on support for deployment. Founded in 2017 and headquartered in New York, it is publicly traded on Nasdaq under the ticker CRWV.
