Software Engineer, Associate Vice President
NatWest Group (company site, opens in a new tab)Bengaluru, GurugramOn-siteDirect career pageEst. 25–45 LPA
Posted 20h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at NatWest Group
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at NatWest Group you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Develop and maintain user-facing features with React 18 and TypeScript 5 in a permanent feature team.
- Integrate and build APIs using Python/FastAPI to support mortgage pricing and profitability modelling with Snowflake and analytical data services.
- Collaborate with principal engineers, architects, Pricing Managers, and analysts to deliver complex modelling, forecasting capabilities, and support CI/CD and production deployments.
Minimum Requirements
- Strong full-stack engineering experience with deep frontend expertise.
- Mandatory proficiency in React 18, TypeScript 5, Snowflake, SQL, REST APIs, and data integration patterns.
- Experience with Redux Toolkit, Material UI (v6), TanStack Table, React Hook Form, Webpack 5, Module Federation, Playwright, Jest, and React Testing Library.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building secure, reliable, maintainable applications across frontend, API, and data layers in financial or similar domains.
- Comfortable working within microfrontend architecture and modern frontend engineering practices.
- Able to manage multiple stakeholders of varying seniority and collaborate effectively with cross-functional teams on complex business workflows and data modelling.