About this role
Role Overview
Zenoti is seeking a Lead Engineer - Full Stack (AI) to join the product team in Hyderabad, Telangana, India. This opportunity is well-suited for an experienced technologist with a strong background in enterprise software who wants to drive AI-assisted engineering practices for a cloud-based platform.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
Zenoti delivers an all-in-one, cloud-based software solution designed specifically for the beauty and wellness industry. The platform enables users to seamlessly manage appointments, point-of-sale (POS), customer relationship management (CRM), employee schedules, inventory, and built-in marketing programs through a comprehensive mobile solution. Operating globally, Zenoti powers more than 30,000 salons, spas, medspas, and fitness studios across over 50 countries. Recognized as a Great Place to Work Certified organization, Zenoti has achieved notable milestones including a unicorn valuation exceeding $1 billion, an $80 million investment from TPG, and placement on Deloitte’s Technology Fast 500.
How to Apply
Interested candidates should visit the official Zenoti careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
Where is the Lead Engineer - Full Stack (AI) position located?
The role is based in Hyderabad, Telangana, India.
How many years of experience are required for this role?
Candidates must have 8+ years of experience designing and building enterprise-scale SaaS applications.
What core technical stack does Zenoti use for this position?
The tech stack includes .NET/C#, REST APIs, SQL/NoSQL, Flutter or React, and cloud platforms like AWS or Azure.
What AI development tools are utilized in this role?
Engineers use modern AI-assisted development tools such as Copilot, Claude Code, and Cursor throughout the engineering lifecycle.
What cloud platforms does Zenoti require experience with?
Candidates need 5+ years of experience building distributed cloud services using either AWS or Azure.
