Senior Engineer – Data Platforms
| Company | CoreWeave |
|---|---|
| Location | Livingston, NJ, USA, New York, NY, USA, Sunnyvale, CA, USA |
| Salary | $175000 – $210000 |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- six or more years of experience in a software or infrastructure engineering industry
- experience operating services in production and at scale
- versed in reliability engineering concepts such as the different types of testing, progressive deployments, error budgets, the role observability, and fault-tolerant design
- understand data consistency and concurrency models
- can clearly define data models and establish guidelines around data management
- familiar with distributed NewSQL datastores such as CockroachDB, TiDB, YDB, Yugabyte and/or stream processing tools such as NATS or Kafka
- experience with designing and operating these systems at scale
- familiar with Kubernetes and have interest or experience with using it for event-driven and/or stateful orchestration
- know your way around a Linux distro, shell scripting, and the Linux storage and networking stacks
- proficiency in go, python, java, and/or C
Responsibilities
- Identify and develop applications for the organization’s data
- Design and implement the platform to deliver data to teams with a focus on providing managed solutions
- 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 teams on-call rotation
- Establish guidelines, guard rails for data access and storage for stakeholder teams
- Ensure compliance with standards for data protection regulation
Preferred Qualifications
- enjoy helping your colleagues achieve more with less effort
- excited about new research in data structures
- excited to have the opportunity to contribute to a Kubernetes operator in order to manage data systems
- excited about being part of a team of diverse perspectives and backgrounds that believe in tackling challenges, growing hand in hand, and winning together