Company Description
Z Brands is a consumer app studio that uses cutting edge data-analytics and AI to build consumer brands. We're profitable and growing fast. Our team is Forbes 30u30, ex-IIT, ex-Microsoft, ex-FTX, ex-PayTM.
About the Role
We're seeking a skilled Software Developer to drive the development of key features for our rapidly growing AI-driven consumer apps. You'll work across the stack, building robust, scalable systems and intuitive interfaces that deliver real-time, data-driven experiences. This high-impact role places you at the heart of our product ecosystem, contributing to solutions that reach millions of users.
What You'll Do
- Develop and maintain core product features using modern web technologies such as JavaScript/TypeScript, React, and Node.js.
- Build efficient, scalable APIs and server-side logic to power data-driven applications.
- Create responsive, user-friendly interfaces for real-time data visualization and interaction.
- Collaborate with cross-functional teams (product, design, and growth) to iterate quickly based on user feedback.
- Integrate third-party APIs, automation tools, or AI-driven components to enhance product functionality.
Essential Skills
- Proficiency in JavaScript/TypeScript, React, and Node.js for building full-stack applications.
- Experience designing and implementing RESTful APIs and server-side logic.
- Ability to create dynamic, responsive front-end interfaces with frameworks like React.
- Strong problem-solving skills and familiarity with version control systems (e.g., Git).
- Comfortable working in a fast-paced environment, collaborating with product and growth teams.
Bonus Skills (Nice to Have)
- Experience with web scraping technologies (e.g., headless browsers, proxy management, CAPTCHA handling) and navigating anti-bot systems.
- Familiarity with cloud platforms like AWS (e.g., Lambda, ECS, S3) or GCP for scalable infrastructure.
- Knowledge of relational databases (e.g., PostgreSQL) and optimizing large-scale data queries.
- Experience with CI/CD pipelines, containerization (e.g., Docker), or monitoring tools for DevOps.
- Exposure to integrating data with AI pipelines, LLMs, or autonomous agent systems.
- Familiarity with serverless architectures or distributed systems.
