Key technologies and capabilities for this role
Common questions about this position
The role requires strong programming in Python (Django/FastAPI/Flask), experience with AI/ML frameworks like TensorFlow, PyTorch, and Scikit-learn, proficiency in React.js/Next.js, hands-on experience with Azure Cloud and automation including Azure DevOps, IaC tools, and Kubernetes, plus strong knowledge of SQL and NoSQL databases, and familiarity with Docker, Kubernetes, and CI/CD pipelines.
This information is not specified in the job description.
This information is not specified in the job description.
The role involves collaborating with cross-functional teams in an Agile environment, and Zenoti is recognized as a Great Place to Work CertifiedTM for 2021-2022.
A strong candidate will have expertise in Python backend, Next.js/React frontend, AI/ML model deployment on Azure ML, cloud automation with Azure DevOps and IaC tools like Terraform, plus experience with microservices, Kubernetes, and databases.
Cloud-based software for beauty businesses
Zenoti provides cloud-based software tailored for salons, spas, and med spas, helping over 12,000 businesses across more than 50 countries manage their operations. The software includes tools for appointment scheduling, billing, payments, reporting, analytics, marketing, employee management, and inventory control, all aimed at improving customer experience and automating front desk tasks. Operating on a Software-as-a-Service (SaaS) model, clients pay a subscription fee for access to the software, which is continuously updated without manual installations. Zenoti distinguishes itself by offering modern, touchless interactions like online booking and self-check-in, along with 24/7 support and assistance with data migration for new clients. The company's goal is to enhance the efficiency and customer experience of businesses in the beauty and wellness industry.