Zenoti

Cloud-based SaaS for salons and spas

Lead Engineer - Full Stack, AI

Full-Stack EngineeringConfirmed live in the last 24 hours

Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

At least 8 years of experience designing and building enterprise-scale SaaS applications using Microsoft technologies, including .NET/C#, REST APIs, SQL Server or NoSQL, and modern user-interface frameworks such as Flutter or React.
At least 5 years of experience building highly available, massively scalable, distributed cloud services using AWS or Azure.
Strong system design, analytical thinking, and problem-solving skills, with the ability to own complex technical problems.
Hands-on experience using modern AI-assisted development tools such as Copilot, Claude Code, or Cursor in a production environment.
Strong engineering judgment to critically review AI-generated code, especially regarding security, performance, scalability, reliability, and data integrity.
Excellent communication and collaboration skills.
Comfort working in a fast-paced, continuously evolving product organization.

Responsibilities

Own the end-to-end development and technical success of one or more product modules, delivering exceptional customer experiences.
Design, build, and evolve highly scalable SaaS applications using .NET/C#, REST APIs, SQL/NoSQL, and Flutter/React that can support two to four times annual business growth.
Collaborate closely with Product Managers, Designers, and fellow Engineers to deliver customer-centric features in an agile environment.
Own the complete software lifecycle, from design and implementation through code reviews, testing, deployment, monitoring, and continuous improvement.
Use modern AI-assisted development tools, such as Claude Code and Cursor, throughout the engineering lifecycle for design exploration, implementation, debugging, testing, documentation, and code reviews.
Apply engineering judgment to determine where AI-generated output can be trusted and where human expertise is essential, particularly in security, data integrity, architecture, compliance, and customer-critical workflows.
Build reusable engineering assets, including prompts, workflows, templates, and automation, to improve the productivity and effectiveness of the broader engineering team.
Continuously improve engineering velocity, code quality, reliability, and developer productivity through automation and AI-native engineering practices.

Desired Qualifications

Experience building developer productivity tooling, prompt libraries, reusable workflows, MCP servers, or AI-enabled engineering automation.
Exposure to Flutter for mobile application development.
Interest in learning emerging AI-assisted engineering practices and applying those that create measurable customer and engineering value.

Zenoti provides an all-in-one, cloud-based software solution for the beauty and wellness industry. Our solution allows users to seamlessly manage every aspect of the business in a comprehensive mobile solution: online appointment bookings, POS, CRM, employee management, inventory management, built-in marketing programs and more. Zenoti helps clients streamline their systems and reduce costs, while simultaneously improving customer retention and spending. Our platform is engineered for reliability and scale and harnesses the power of enterprise-level technology for businesses of all sizes

Zenoti powers more than 30,000 salons, spas, medspas and fitness studios in over 50 countries. This includes a vast portfolio of global brands, such as European Wax Center, Hand & Stone, Massage Heights, Rush Hair & Beauty, Sono Bello, Profile by Sanford, Hair Cuttery, CorePower Yoga and TONI&GUY.

Our recent accomplishments include surpassing a $1 billion unicorn valuation, being named Next Tech Titan by GeekWire, raising an $80 million investment from TPG, ranking as the 316th fastest-growing company in North America on Deloitte’s 2020 Technology Fast 500™. We are also proud to be recognized as a Great Place to Work CertifiedTM for 2021-2022 as this reaffirms our commitment to empowering people to feel good and find their greatness. To learn more about Zenoti visit: https://www.zenoti.com

What will I be doing ?

Own the end-to-end development and technical success of one or more product modules, delivering exceptional customer experiences.
Design, build, and evolve highly scalable SaaS applications using .NET/C#, REST APIs, SQL/NoSQL, and Flutter/React capable of supporting 2–4× annual business growth.
Collaborate closely with Product Managers, Designers, and fellow Engineers to deliver customer-centric features in an agile environment.
Own the complete software lifecycle—from design and implementation through code reviews, testing, deployment, monitoring, and continuous improvement.
Leverage modern AI-assisted development tools (e.g., Claude Code, Cursor) throughout the engineering lifecycle for design exploration, implementation, debugging, testing, documentation, and code reviews.
Apply sound engineering judgment to determine where AI-generated output can be trusted and where human expertise is essential, particularly in areas involving security, data integrity, architecture, compliance, and customer-critical workflows.
Build reusable engineering assets—including prompts, workflows, templates, and automation—that improve the productivity and effectiveness of the broader engineering team.
Continuously improve engineering velocity, code quality, reliability, and developer productivity through automation and AI-native engineering practices.

What skills do I need?

8+ years of experience designing and building enterprise-scale SaaS applications using Microsoft technologies (.NET/C#, REST APIs, SQL Server/NoSQL) and modern UI frameworks such as Flutter or React.
5+ years of experience building highly available, massively scalable, distributed cloud services (AWS or Azure)
Strong system design, analytical thinking, and problem-solving skills with the ability to own complex technical problems.
Hands-on experience using modern AI-assisted development tools (e.g., Copilot, Claude Code, Cursor) in a production environment.
Strong engineering judgment to critically review AI-generated code, especially in areas involving security, performance, scalability, reliability, and data integrity.
Excellent communication and collaboration skills.
Comfortable working in a fast-paced, continuously evolving product organization.
Experience building developer productivity tooling, prompt libraries, reusable workflows, MCP servers, or AI-enabled engineering automation is a plus.
Exposure to Flutter for mobile application development is a plus.
Passion for continuously learning emerging AI-assisted engineering practices and applying those that create measurable customer and engineering value.

Zenoti provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

About the Company

Zenoti

Cloud-based SaaS for salons and spas

Zenoti is a cloud-based software provider for salons, spas, and med spas that offers a full SaaS platform to run business operations. It serves over 12,000 businesses in more than 50 countries, providing tools for appointment scheduling, billing, payments, reporting, analytics, marketing, employee management, and inventory control. The product works as a cloud-hosted subscription service, delivering features such as online booking, self-check-in, e-payments, and digital reviews, with 24/7 support and assistance with data migration. Zenoti differentiates itself by delivering an integrated, end-to-end suite tailored to beauty and wellness businesses, enabling touchless interactions and centralized management across locations. Its goal is to help clients enhance customer experience, unify their brand, and automate front-desk tasks to run their operations more efficiently and grow globally.

Company size: 1,001-5,000
Company stage: Series D
Total funding: $331M
Headquarters: Bellevue, WA
Founded: 2010

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