Data Infrastructure Software Engineer

AI Hyperscaler delivering cloud platform services for accelerated computing, powering the next wave of AI since 2017.
$175,000 - $205,000
Data
Senior Software Engineer
Hybrid
501 - 1,000 Employees
7+ years of experience
AI · Enterprise SaaS

Description For Data Infrastructure Software Engineer

CoreWeave, recognized as one of TIME100's most influential companies of 2024, is revolutionizing the AI and cloud computing landscape as the premier AI Hyperscaler™. Since 2017, they've established a robust presence across the US and Europe, delivering cutting-edge accelerated computing solutions. The Data Engineering team is seeking a seasoned Software Engineer with SRE expertise to lead their data infrastructure initiatives. This role combines the technical depth of software engineering with the operational excellence of site reliability engineering, focusing on building and scaling foundational data systems.

The position offers an exciting opportunity to work at the intersection of big data and cloud infrastructure, where you'll be responsible for architecting and maintaining the company's data lake and clustered computing services. You'll play a crucial role in developing the tools and frameworks that enable efficient data processing and analytics across the organization. The ideal candidate brings 7+ years of programming experience and deep expertise in Kubernetes, demonstrating both technical prowess and systems thinking.

CoreWeave offers a compelling compensation package, with base pay ranging from $175,000 to $205,000, complemented by comprehensive benefits including fully-paid health insurance, 401(k) with employer match, and flexible PTO. The company embraces a hybrid work culture, balancing the benefits of in-person collaboration with remote work flexibility. This role presents an exceptional opportunity to join a rapidly growing company at the forefront of AI infrastructure, where you'll tackle complex challenges and make significant contributions to the future of cloud computing and data processing.

Last updated 16 days ago

Responsibilities For Data Infrastructure Software Engineer

  • Architect, deploy, and scale data storage and processing infrastructure
  • Manage and maintain data lake and clustered computing services
  • Build and optimize frameworks and tools to simplify big data technology usage
  • Collaborate with cross-functional teams to align data infrastructure with business goals
  • Ensure data governance and security best practices across all platforms
  • Monitor, troubleshoot, and optimize system performance and resource utilization

Requirements For Data Infrastructure Software Engineer

Python
Kubernetes
Kafka
  • 5+ years of experience with Kubernetes and Helm
  • 7+ years of programming experience in C++, C#, Java, or Python
  • 5+ years of experience scripting in Python or Bash
  • Strong understanding of data storage technologies and distributed computing
  • Proficiency in security best practices
  • Experience with Spark, Ray, and Kafka (preferred)

Benefits For Data Infrastructure Software Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Parental Leave
401k
Education Budget
  • Medical, dental, and vision insurance - 100% paid
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible childcare support with Kinside
  • 401(k) with employer match
  • Flexible PTO
  • Catered lunch
  • Casual work environment

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