Senior Full Stack Engineer developing Agentic AI solutions and modern web applications. Leading internal and client collaboration at eSimplicity to enhance digital services across government agencies.
About the role
- Senior Web Developer responsible for the development of front-end applications at Ness Digital Engineering. Building scalable components and optimising web applications for clients globally.
Responsibilities
- Designing and building scalable, reusable, and maintainable frontend components.
- Translating UI/UX design wireframes to actual code
- Developing, maintaining, and optimising Progressive Web Applications
- Staying updated with the latest industry trends in web frameworks technologies and driving the implementation of best-practices and coding patterns
Requirements
- Strong professional experience with React, Redux/Flux, Redux Thunk
- Expertise in NodeJS, ES6, Typescript and JavaScript design patterns
- Hands on experience of HTML5, CSS3 (css modules), SAAS, Flexbox, Response web design
- Hands on experience on at least one JavaScript unit testing framework (Jest/ Enzyme/React Testing library/Mocha/ Jasmine /Chai), AG Grid/Java Sql/AWS
- Experience working with large datasets and implementing best practices for optimizing performance, including virtualized lists, filtering and pagination.
- Hands on experience on E2E and Snapshot testing (Cypress)
- Must have experience in responsive design variations across all OS, browsers, and devices.
- Strong instincts in graphic design (UI)
- Passionate about user design and able to provide recommendations as the subject matter expert on front end engineering and design.
- Having strong opinions, loosely held.
- Good communications skills, ability to articulate ideas and with attention to detail.
- Someone who takes pride in their work.
- Good To have: 1. Micro Front End (MFE) architecture 2. Knowledge of RTK Query for efficient data fetching and caching. 3. Knowledge in AG Grid Library, including customization, event handling, and optimizing AG Grid for large datasets.
Job title
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Not specified
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