Senior Engineer- Data Platforms

What You’ll Do:
The Data Platform Team serves as the experts on managing data infrastructure for CoreWeave. Our data infrastructure includes but is not limited to: managed databases, data ingestion, data flow, data lakes, and other data retrieval for CoreWeave and its customers. This team is responsible for the development of use cases, discovery of innovative solutions, automation and operations of our data platform infrastructure.

About the role:
We are seeking senior software engineers with specialization in database and stream processing who can help us fulfill the goal of our global datastore strategy and establish communication models for our data flow. This individual will work with a team of mixed skilled engineers and have the opportunity to work on the full range of rewarding challenges that come with the business of building a cloud in a communicative, supportive, and high-performing environment. As a member of the Data Platform Team you will have the opportunity to:

• Design and implement the platform to deliver data to teams with a focus on providing managed solutions through APIs
• Participate in operations and scaling of relational data platforms
• Develop a stream processing architecture and solve for scalability and reliability
• Improve the performance, security, reliability, and scalability of our data platforms and related services, and participate in the team’s on-call rotation
• Establish guidelines and guard rails for data access and storage for stakeholder teams
• Ensure compliance with standards for data protection regulation
• Grow, change, invest in your teammates, be invested-in, share your ideas, listen to others, be curious, have fun, and, above all, be yourself

Who You Are:

• 5+ years of experience in a software or infrastructure engineering industry
• Experience operating services in production and at scale and familiarity with reliability engineering concepts such as different types of testing, progressive deployments, error budgets, observability, and fault-tolerant design
• Understanding of CAP theorem and concurrency models,