Senior Software Engineer
2 weeks ago
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 as this reaffirms our commitment to empowering people to feel good and find their greatness. To learn more about Zenoti visit:
What's the Opportunity?
We're looking for a
Senior Software Engineer (Python/AWS)
to join our innovative team This is a fantastic chance to make a significant impact by designing and building highly scalable and reliable software systems on AWS. You'll be working on services that make Zenoti a go-to SaaS provider for the beauty, wellness and fitness industry. If you're passionate about elegant software design, cloud-native solutions, and embracing AI-powered development tools like Cursor IDE and GitHub Copilot to boost your productivity, this role is for you
What will I be doing?
As a Senior Software Engineer, you'll be a key player in our engineering lifecycle. You'll:
- Design and architect robust, scalable, and maintainable software systems, translating business needs into technical designs.
- Build with Python: Write, test, and deploy high-quality Python code for our production systems, focusing on clean, efficient, and well-documented solutions.
- Leverage AWS: Work hands-on with various AWS services (e.g., EC2, S3, Lambda, API Gateway, DynamoDB, RDS) to build and manage our cloud infrastructure.
- Boost productivity with AI Tools: Actively utilize AI-powered development tools like Cursor IDE, GitHub Copilot, and other intelligent assistants to accelerate development and improve code quality.
- Optimize and troubleshoot: Identify and resolve complex technical challenges, optimize system performance, and ensure the overall health of our applications.
- Collaborate: Work closely with product managers and fellow engineers in an Agile environment, contributing to our collective growth.
What skills do I need?
- Bachelor's degree in Computer Science or IT,
- 4 to 6 years of overall experience as an AI Engineer or Data Scientist.
- Having minimum of 4 years experience in Python and AWS.
- Exposure in designing and building scalable solutions using Cloud technologies.
Benefits
- Attractive Compensation
- Comprehensive medical coverage for yourself and your immediate family
- An environment where wellbeing is high on priority – access to regular yoga, meditation, breathwork, nutrition counseling, stress management, inclusion of family for most benefit awareness building sessions
- Opportunities to be a part of a community and give back: Social activities are part of our culture; You can look forward to regular engagement, social work, community give-back initiatives"
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.
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