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Lead Engineer - Full Stack (AI)

Zenoti - Hyderabad, Telangana, India - In-office - posted 2026-08-07

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Zenoti is a cloud-based SaaS platform serving the beauty and wellness industry, powering over 30,000 salons, spas, medspas, and fitness studios across 50+ countries. The company recently achieved unicorn status ($1B+ valuation) and raised $80M from TPG. As a Senior Full Stack Engineer, you will own the end-to-end development and technical success of one or more product modules, delivering exceptional customer experiences. You'll design, build, and evolve highly scalable SaaS applications using .NET/C#, REST APIs, SQL/NoSQL databases, and modern UI frameworks (Flutter/React) capable of supporting 2–4× annual business growth. Key responsibilities include: - Owning the complete software lifecycle from design through implementation, code reviews, testing, deployment, monitoring, and continuous improvement - Collaborating closely with Product Managers, Designers, and fellow Engineers in an agile environment - Leveraging modern AI-assisted development tools (Claude Code, Cursor, Copilot) throughout the engineering lifecycle for design, implementation, debugging, testing, and documentation - Applying sound engineering judgment to determine where AI-generated output can be trusted versus where human expertise is essential, particularly for security, data integrity, architecture, and compliance - Building reusable engineering assets including prompts, workflows, templates, and automation to improve team productivity - Continuously improving engineering velocity, code quality, reliability, and developer productivity through automation and AI-native practices Required qualifications: - 8+ years designing and building enterprise-scale SaaS applications with Microsoft technologies (.NET/C#, REST APIs, SQL Server/NoSQL) - 5+ years building highly available, massively scalable distributed cloud services (AWS or Azure) - Strong system design, analytical thinking, and problem-solving skills - Hands-on production experience with modern AI-assisted development tools - Strong engineering judgment to critically review AI-generated code for security, performance, scalability, and data integrity - Excellent communication and collaboration skills - Comfortable in fast-paced, continuously evolving product environments Plus factors: experience building developer productivity tooling, prompt libraries, MCP servers, Flutter mobile development, and passion for emerging AI-assisted engineering practices.

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