SQL roles open to Bermuda.

Collaborate proactively with a distributed team

Collaborate proactively with a distributed team

Leading design and architecture of an impactful open source project

Write high-quality, well-designed and well-tested Python software

Design, implement and document system level Go code

You will lead a team building scalable data solutions for Kubernetes and cloud machines

Integrate new generative AI models and providers into GitLab Duo Chat to expand capabilities and improve response quality

Develop with NetSuite SuiteCloud development tools such as SuiteBuilder, SuiteFlow, SuiteAnalytics, and SuiteScript to develop new and maintain existing business workflows.

Design and build automated workflows for legal tasks such as contract review, non-disclosure agreement routing, intellectual property enforcement, compliance monitoring, data retention, inventorying

We are looking for a Senior AI Engineer to lead the development and scaling of our LLM-powered solutions.

Play a pivotal role in architecting and developing web and mobile applications that push the boundaries of technology

Has lived the UA grind firsthand. You've managed meaningful paid acquisition budgets for (subscription) mobile apps.

Model new business opportunities: Build rigorous financial and strategic models for potential new products (e.g., credit cards, cohort-based financing) to help inform our product roadmap.

Own the Data Science strategy for RC Capital. Build the foundation for our underwriting and fraud detection systems from the ground up. Nothing is locked in, you'll define the models, the signals, and the approach.

Own the product strategy and roadmap for RevenueCat's new Workflows and Funnels products.

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Designed and built automated interview scheduling. This feature automates scheduling by calculating possible times from a pool of interviewers and other constraints, and then presenting these times to the candidate for selection via

Own growth projects end-to-end: Scope the work, write the frontend and backend, ship to production, and iterate based on what the data says. Move in days and weeks, not quarters.

Own the billing lifecycle end to end: Invoicing, collections, subscription management, credits, refunds, and disputes. Nothing falls through the cracks. Customers get billed correctly, on time, every time.

Keep highly available systems highly available. We process mortgage transactions that can't go down. You'll design, monitor, and improve the infrastructure that makes that possible.

Model hard domain problems in code. Mortgage has edge cases that have edge cases. You'll turn messy, real-world lending scenarios into clean, reliable software.

Define what a mortgage is in code. Seriously. You'll work on semantic models that don't just represent mortgages as they exist today — they expand what a mortgage can be. This is product design at the API layer.

Encode natural language rules into code. You'll work with DSLs and novel techniques — including AI — to translate dense regulatory guidelines into executable logic.