Data Migration Specialist

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 . We're proud to be a Living Wage accredited Employer. What You’ll Do: The Monolith AI Platform Engineering Team at CoreWeave is responsible for transitioning existing client environments to Monolith AI’s next-generation platform, maintaining the high velocity needed to support a rapidly growing customer base. This team works closely with Customer Success and Product to ensure migrations are accurate, meet defined business requirements, and are delivered at scale. About the Role: Monolith AI is seeking a talented Software Developer for an intensive 3-month migration project transitioning existing client environments to our next-generation platform. This role requires a developer who excels at rapidly understanding undocumented systems, extracting clarity from complex database structures, and building practical migration tooling in Python. You’ll work closely with our 15-person technical team (currently doubling), collaborating extensively with Customer Success and Product to ensure migrations meet defined business requirements while maintaining high velocity. In this role, you will: Rapid System Understanding Quickly grasp existing PostgreSQL database schemas through code inspection, team discussions, and reverse engineering Understand new platform database architecture and how legacy data maps to the new structure Work with pickle files and S3 object storage to understand serialized data structures Extract clarity from poorly documented legacy systems through hands-on investigation Cross-Functional Requirements Gathering Collaborate with Customer Success to understand client migration requirements and acceptance criteria Partner with Product team to define and iterate on what constitutes acceptable migration outcomes Balance technical constraints with business needs to establish pragmatic migration standards Clarify ambiguous requirements and drive decisions on edge cases and trade-offs Product Context & Impact Analysis Understand how database entries and S3-stored objects drive UI behavior and user workflows Work with the existing team to learn system behavior through discussions and knowledge transfer Identify how legacy data structures distribute across new platform tables and storage Migration Tool Development Build Python migration scripts to convert legacy notebooks to the new platform format Work with Flask and FastAPI layers to understand API interactions and data flow Handle pickle file deserialization and data transformation logic Implement validation against defined Customer Success requirements (not 100% data integrity) Velocity & Communication Management Maintain rapid project pace with tight 3-month timeline Provide frequent progress updates to the tech lead on development speed and blockers Proactively communicate risks, timeline concerns, and decision points Make pragmatic technical decisions that balance quality with delivery speed Testing & Validation Against Requirements Test migration outputs against Customer Success acceptance criteria Validate migrated notebooks meet defined business requirements Identify and communicate gaps between migration output and requirements for product decisions Process Documentation & Knowledge Transfer Document the migration process, key decisions, and data mapping logic Create runbooks for executing migrations and handling common issues Transfer knowledge primarily through discussions with the existing team Prepare materials enabling team to execute and…