• Build and ship native iOS features for onboarding, accounts, cards, payments, transfers, rewards and AI-assisted user journeys. • Make complex financial flows feel clean, fast and simple on mobile. • Work with product, design, backend and AI engineers to take ideas from rough concept to production release. • Own app quality across performance, crash rate, loading states, edge cases, responsiveness and release stability. • Use production feedback, analytics and customer behaviour to improve features after launch. • Integrate APIs, authentication, secure data handling and financial workflows with strong attention to reliability.

• Build and ship native iOS features for onboarding, accounts, cards, payments, transfers, rewards and AI-assisted user journeys. • Make complex financial flows feel clean, fast and simple on mobile. • Work with product, design, backend and AI engineers to take ideas from rough concept to production release. • Own app quality across performance, crash rate, loading states, edge cases, responsiveness and release stability. • Use production feedback, analytics and customer behaviour to improve features after launch. • Integrate APIs, authentication, secure data handling and financial workflows with strong attention to reliability.

• Build and ship native iOS features for onboarding, accounts, cards, payments, transfers, rewards and AI-assisted user journeys. • Make complex financial flows feel clean, fast and simple on mobile. • Work with product, design, backend and AI engineers to take ideas from rough concept to production release. • Own app quality across performance, crash rate, loading states, edge cases, responsiveness and release stability. • Use production feedback, analytics and customer behaviour to improve features after launch. • Integrate APIs, authentication, secure data handling and financial workflows with strong attention to reliability.

• Design, implement, and maintain scientific software for drug discovery: docking, free-energy perturbation (FEP), molecular dynamics, cheminformatics, and related computational biology workflows. • Build and evolve the Deep Origin Python SDK and scientific APIs that scientists use to run, monitor, and analyze platform workflows. • Develop and maintain Julia-based simulation and analysis packages for molecular systems (e.g., system preparation, MD/FEP protocols, post-processing). • Author and operate workflow definitions (Argo Workflows) and serverless scientific services (Knative) that orchestrate multi-step computational pipelines on Kubernetes. • Package scientific tools as reproducible, containerized functions with clear input/output contracts, validation, and integration tests. • Translate domain requirements from medicinal chemistry and computational biology into robust, scalable technical implementations. • Collaborate with platform engineering, product, and science teams to integrate scientific tools into our multi-tenant cloud platform. • Ensure scientific code quality through testing, documentation, benchmarking, and careful handling of edge cases in real-world molecular datasets. • Debug and resolve issues across the full stack — from numerical methods and force-field behavior to workflow failures in production. • Contribute to engineering best practices: code review, CI/CD, observability, and operational runbooks for long-running scientific jobs. • Mentor teammates and help raise the bar for scientific software engineering across the organization.