Frontend

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• Job Status: In-progress

5 Days working

shift timing :- 8:45 am – 5:30 pm

Location :- Gurgaon sec 49

Description As a Frontend Engineer at, you will develop software features and improvements to major portion of team’s front-end web applications, delivering working codes spanning the full software lifecycle. You will collaborate effectively with web solution engineer and quant researchers to create high performance UI/UX for quant analysts and risk managers. Your code will demonstrate best practices and meet high standards of quality. Key Job Responsibilities Develop software features and improvements to major portion of team’s front-end software. Work closely with stakeholders, team engineers and researchers to understand business logic to deliver and improve modules. Contribute significantly to the full software development lifecycle, including scoping, design, coding, testing, deployment and maintenance. Demonstrate operational excellence in all work, including identifying and resolving root causes of operational issues. Actively participate in code reviews, providing ideas and meaningful feedback to team members. About the Team We are a team of quant researchers, web engineers, infrastructure engineers and LLM specialists. Our goal is to develop a proprietary platform for our quant analysts and risk managers, with modern UI and high-performance web sockets to show real-time metrics of market data and in house algorithms. Preferred Qualifications - - - - - - - - Bachelor’s Degree in Computer Science or related field. Strong object-oriented design and coding skills. Strong knowledge of data structures, algorithm design, problem solving and complexity analysis. Experience with common frontend-technologies like HTML, CSS, JS, TypeScript (preferred), and Node. Knowledge in web charting libraries like Highcharts-Stocks and Prometheus. Knowledge in integrating backend services like APIs, Websockets and SQL systems to the frontend web applications. Comfortable working in a Linux environment and have experience with agile development. Knowledge in prompt engineering and experience using LLMs to code and update documentations of the codebase is preferrable.