We are seeking a highly skilled Full Stack Developer with expertise in JavaScript, React, and backend technologies to develop and maintain applications supporting Machine Learning data annotation and Voice Configuration tools. The ideal candidate will have experience handling large datasets, optimizing APIs, and working within Mono-repos to manage multiple UIs in the same codebase.

Key Responsibilities:

Frontend Development: Build and optimize UI components for ML data annotation using JavaScript and React.
Backend Development: Work with PostgreSQL databases, REST APIs, and AWS cloud services (Lambda, etc.) for data handling and storage.
Mono-repo Management: Maintain a single codebase supporting multiple UIs, ensuring modular and scalable architecture.
Big Data Handling: Manage large datasets, optimize API performance, and reduce latency for efficient system operations.
Authentication & Security: Implement Web Authentication best practices.
UI Testing: Utilize Cypress for UI testing and validation.
Containerization & Deployment: Work with Kubernetes, ICD, and Concourse to deploy and manage applications.
Collaboration: Work closely with Voice Remote teams for UI development related to Voice Configuration tools.
Agile Methodology: Follow Scrum practices with 2-week sprints, daily updates, and feature development cycles.

Required Skills & Experience:

JavaScript & React (Must-have)
Frontend & Backend Development (Full-stack experience required)
SQL/PostgreSQL (Database creation & modification)
Mono-repos & Component Libraries (Managing multiple UIs in one codebase)
API Development (REST API design, optimization)
Cloud Services (AWS, Lambda, etc.)
Big Data Handling & Performance Optimization
Web Authentication & Security

Nice-to-Have Skills:

Machine Learning Experience (Working with annotated datasets)
Shav CM Library (UI component management)
FST Applications & Kubernetes (Containerized app deployment)

GCS

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