Design, develop, and maintain large-scale data ingestion, storage, and querying systems
Supporting AI/ML experiment tracking and analytics. Architect and optimize distributed systems
And backend services to improve performance, reliability, scalability, and cost-efficiency across
Petabyte-scale datasets. Implement and enhance customer-facing APIs using modern
Programming languages (e.g., Go, Python, TypeScript) and storage technologies such as
MySQL, Bigtable, ClickHouse, Postgres, and Kafka/PubSub. Build, deploy, and operate services
On Kubernetes-based infrastructure, using tools such as Terraform and major cloud platforms
(GCP, AWS, or Azure). Diagnose and resolve complex production issues related to distributed
Systems, data pipelines, and storage/query performance. Collaborate with cross-functional teams
(product, revenue, and engineering) to define technical requirements, design system
Architectures, and deliver new platform capabilities. Lead long-term architectural initiatives to
Evolve metrics and storage infrastructure, ensuring secure, reliable, and cost-optimized operation
Mentor junior engineers by providing technical guidance, code reviews, design feedback, and best
Practices for high-quality software development
Telecommuting permitted 100% of the time from anywhere in the U.S
Export regulations applicable to that information, applicant must either be (A) a U.S. person
Defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii)
Refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the
Reasonably likely to obtain the required export authorization from the applicable U.S. government
Agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing
Process
Job Requirements: Bachelor's / US or Foreign Equivalent in Computer Science, Computer
Engineering, Electrical Engineering, Software Engineering, or related STEM fields and five (5)
Years of experience in the job offered or related role. Must have five (5) years of experience with
Maintaining and deploying Go and Python code in live software systems; Maintaining and
Adapting systems that use MySQL and Postgres; Deploying and optimizing distributed systems on
Cloud platforms, such as GCP, AWS, Azure; Building and maintaining using Kubernetes and
Docker; Building, deploying, and developing new features and API (Rest or gRPC); and
Maintaining and adapting systems that use Kafka or Pubsub
Salary: $215,000-$254,000 / year
The starting salary will be determined based on job-related knowledge, skills, experience, and
Market location. We strive for both market alignment and internal equity when determining
Compensation. In addition to base salary, our total rewards package includes a discretionary
Bonus, equity awards, and a comprehensive benefits program (all based on eligibility)