Senior Engineer I

CoreWeave•San Francisco, NY

4d•Remote

About The Position

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com .

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.

Responsibilities

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.