Senior Software Engineer - .NET + AI

About the role

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

## Senior Software Engineer

• *What will I be doing?**

• Own the end-to-end development and technical success of significant features within a product module, delivering exceptional customer experiences.
• Design, build, and evolve scalable SaaS applications using .NET/C#, REST APIs, SQL/NoSQL, and Flutter/React.
• Own delivery of significant features end-to-end, resolving technical ambiguity in your area without needing escalation; drive estimation and planning for your own work.
• Design components with clear interfaces, extensibility, and testability; make sound architectural decisions within your domain and lead technical design reviews for the features you own.
• Drive testing standards and coverage for the features you build; contribute to and help improve the team's test automation infrastructure.
• Own compliance adherence for your components — understand relevant regulatory and data governance requirements and ensure your code meets them; bring a security-first mindset to design, including threat modelling for the work you own.
• Collaborate closely with Product Managers, Designers, and fellow Engineers to deliver customer-centric features in an agile environment; understand customer workflows deeply enough to challenge requirements and propose alternatives.
• Own production health for the components you build — monitoring, alerts, dashboards, and incident response for your area; know how your features are performing and being adopted in production.
• Leverage modern AI-assisted development tools (e.g., Claude Code, Cursor) throughout the engineering lifecycle for design exploration, implementation, debugging, testing, documentation, and code review.
• 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.
• Write clear design documents and communicate technical decisions and trade-offs to both technical and non-technical audiences.

• *What skills do I need?**

• 5–7 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.
• 3+ years of experience building highly available, scalable, distributed cloud services (AWS or Azure).
• Strong system design, analytical thinking, and problem-solving skills, with the ability to own complex technical problems within your area.
• Hands-on experience using modern AI-assisted development tools (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.
• Passion for continuously learning emerging AI-assisted engineering practices and applying those that create measurable customer and engineering value.