At a Glance
- Tasks: Join our team to migrate client environments to our next-gen AI platform using Python.
- Company: CoreWeave, a pioneering cloud platform for AI, is rapidly growing and publicly traded.
- Benefits: Enjoy competitive salary, health insurance, tuition reimbursement, and a supportive work culture.
- Other info: Dynamic environment with opportunities for rapid career growth and learning.
- Why this job: Be part of an exciting migration project that makes a real impact in the AI space.
- Qualifications: 3+ years in software development, strong Python skills, and experience with PostgreSQL databases.
The predicted salary is between 70000 - 90000 £ per year.
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.
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.
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 troubleshoot migrations post-contract.
Who You Are:
- 3+ years of professional software development experience.
- 2+ years working with Python in production environments.
- Experience working with PostgreSQL databases and complex data structures.
- Demonstrated ability to reverse engineer and understand undocumented systems.
- Previous work in fast‑paced, deadline‑driven environments.
- Programming: Strong Python proficiency including handling pickle files, data processing, and object serialization.
- Databases: Solid understanding of PostgreSQL including complex data structures, relationships, and schema interpretation.
- APIs: Familiarity with Flask and/or FastAPI frameworks and RESTful API concepts.
- Cloud Storage: Experience with S3 or similar object storage services for reading/writing data.
- System Investigation: Ability to read and understand existing codebases to extract system behavior.
- Version Control: Proficiency with Git and collaborative development workflows.
Preferred:
- Experience with data migration or system modernization projects.
- Background working with legacy systems or technical debt remediation.
- Familiarity with Jupyter notebooks or similar computational environments.
- Previous contract or consulting roles requiring rapid onboarding.
- Experience in startup or scale‑up environments with evolving requirements.
- Knowledge of data serialization formats and their trade‑offs.
- Prior work extracting understanding from poorly documented codebases.
- Experience balancing technical perfection with business pragmatism.
Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren’t a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.
- Rapid Learner: You can quickly understand complex, undocumented systems through code inspection and experimentation, and extract clarity from incomplete information.
- Pragmatic & Velocity-Driven: You thrive in fast‑paced environments with tight deadlines, make practical trade‑offs between thoroughness and speed, and maintain a strong bias toward action and delivery.
- Communicator: You proactively provide progress updates, surface blockers early, and clearly articulate technical concepts to non‑technical stakeholders like Customer Success and Product.
- Collaborative: You build relationships quickly, partner effectively with Customer Success and Product to understand business requirements, and actively engage with the existing technical team to facilitate knowledge transfer.
- Owner: You take full ownership of deliverables despite a short contract timeline, and maintain composure and productivity in a dynamic, growing organisation (team currently doubling).
- Results‑Focused: You prioritise work that directly impacts migration success, stay transparent about what’s achievable within timeline constraints, and are accountable when risks emerge.
Why Monolith AI?
At Monolith AI, we work hard, have fun, and move fast! We’re in an exciting stage of hyper‑growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
- Be Curious at Your Core
- Act Like an Owner
- Empower Employees
- Deliver Best‑in‑Class Client Experiences
- Achieve More Together
We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the growth opportunities within the organisation are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
To fulfill our obligation to protect client data, successful applicants offered employment with CoreWeave will be required to complete a basic criminal record check, conducted in compliance with GDPR. Employment offers are conditional upon receiving satisfactory check results.
What We Offer
In addition to a competitive salary, we offer a variety of benefits to support your needs, including:
- Family-level Medical Insurance
- Family-level Dental Insurance
- Generous Pension Contribution
- Life Assurance at 4x Salary
- Critical Illness Cover
- Employee Assistance Programme
- Tuition Reimbursement
- Work culture focused on innovative disruption
Benefits may vary by location.
Equal Opportunity
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
Data Migration Specialist employer: CoreWeave
CoreWeave is an exceptional employer, offering a dynamic work environment in Greater London where innovation meets reliability. With comprehensive benefits such as family-level medical and dental insurance, pension contributions, and tuition reimbursement, employees are supported both personally and professionally. The company fosters a culture of growth and collaboration, ensuring that every Data Centre Technician has the opportunity to develop their skills while contributing to cutting-edge data centre operations.
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We think this is how you could land Data Migration Specialist
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We think you need these skills to ace Data Migration Specialist
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at CoreWeave, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
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How to prepare for a job interview at CoreWeave
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For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at CoreWeave.
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You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
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Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at CoreWeave.
