- Architect and develop robust, scalable, and configurable applications and modules with an emphasis on quality, performance, design, and re-usability.
- Develop and maintain web applications using React and other modern frontend technologies
- Build and ship new software features and product enhancements.
- Collaborate with Product Management, Design, and the rest of Engineering to re-iterate and enhance our product and to create user-friendly interfaces and ensure a seamless user experience
- Participate in code reviews and provide constructive feedback to other engineers
- Write clean, maintainable, and testable code
- Stay up-to-date with emerging trends and technologies in frontend development
- Prototype new ideas and iterate toward the ideal user experience
- Participate in technical discussions and plans to improve our overall software quality
- Handle enterprise customer escalation issues promptly and thoroughly.
- BS/MS in Computer Science is preferred
- 9+ years of hands-on experience in full-stack development. Backend and/or Frontend.
- Experience in building, launching, and maintaining cloud SaaS products.
- Strong passion for beautiful user interfaces. Cares about the details in the User experience and is highly driven to solve real problems for millions of Users
- Experience with React framework and other modern frontend technologies
- Comfortable in latest FE technologies like hooks, modern CSS, Typescript
- Can demonstrate superb coding and design skills for user-friendly frontend interfaces
- Can demonstrate excellent problem-solving and analytical skills
- Communicates and collaborates effectively across teams
- Strong leadership and mentorship experience
- Excellent problem-solving and trouble-shooting skills and debugging in cloud environments and/or SaaS products.
- As much experience in knowledge/experience of relevant technologies to our tech stack (see below)
- Our Tech Stack:
- Python, Flask, SQL, Bash
- React, Redux, JavaScript, Typescript, Webpack, NextJS, JSON
- Apache Spark, Solr, Mysql, Docker
- Major AWS services like Aurora, S3, Redshift, Cloudformation, SNS, SQS etc
- Extensive use of AI and machine learning technologies
1 applies
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