Staff Engineer

About Us

Canary Technologies is changing the game for hotels with modern software powered by Canary's hospitality-specific AI platform.

Canary is utilized by 20,000+ hoteliers in 90+ countries to equip hoteliers with the technology they need to work smarter and wow their guests. Major hotel brands such as Wyndham, Marriott, IHG, Four Seasons, Rosewood, and Best Western trust Canary to deliver results.

Canary was named a 2024 Deloitte Technology Fast 500™ company, a Most Innovative Company by Fast Company and a HotelTechReport Best Place to Work — and is backed by top Silicon Valley investors like Y Combinator, FPrime, and Insight Ventures.

Join us in shaping the future of hospitality!

About the Role

We are seeking a highly skilled Staff Engineer to join our engineering team and lead initiatives focused on scalability, observability, and robust API design. As a hands-on builder, you thrive in environments where you can dive deep into the codebase, solve complex problems, and drive technical excellence across our platform. This role is pivotal in ensuring our systems scale seamlessly to meet growing demands while maintaining top-tier performance and reliability.

This role is specifically targeted to join the Reservations Pod, a key foundational team to synchronize reservation data across a huge variety of systems and present a generic API to power all of the Canary Platform products.

• Architectural Leadership: Design and implement scalable, high-performance architectures that support Canary’s expanding user base and feature set
• Observability & Monitoring: Develop and enhance observability frameworks to ensure comprehensive monitoring, alerting, and logging across all services
• API Design: Lead the design and development of robust, intuitive, and secure APIs that facilitate seamless integration and interaction across our platform
• Hands-On Development: Actively contribute to the codebase by writing clean, efficient, and maintainable code. Tackle challenging technical issues and implement innovative solutions
• Operational Excellence: Champion best practices in shipping highly reliable systems with an emphasis on effective tooling
• Collaboration & Mentorship: Work closely with cross-functional teams including Product Managers, Designers, and other Engineers. Lead by example in code reviews and technical discussions.

• Minimum of 8 years of experience
• Proven track record in designing and scaling large-scale applications
• Proficiency in PythonStrong understanding of cloud platforms (AWS preferred) and containerization technologies like Docker
• In-depth knowledge of database design and experience with SQL and NoSQL databases
• Familiarity with observability tools and practices (e.g., Datadog, Prometheus)
• Excellent communication  and collaboration abilities (written and verbal)
• Demonstrated experience of leading large-scale technical contributions

We also work hard to ensure Canary is a fun and exciting place to work. Here are some of the additional benefits

Canary Days:  As a company we want to ensure that the team has time to recharge. Each month we provide company wide days off to ensure there is at least one extended weekend or day off.

Self Improvement Club: We meet each month and share our personal goals for the month. Each individual is provided a budget towards any purchases that help us achieve these goals.

Professional Development Chats: We provide budget to help drive cross functional professional development conversations across the organization.

Travel Reimbursement: Team members are able to visit our offices across New York, San Francisco or Dallas when they choose, and are provided a travel stipend for doing so.  Spend time working with the team in their office, and use the rest of your time exploring a new city!

Personal Travel Reimbursement: If you stay at a hotel that Canary works with, we provide a credit towards your stay. 

Canary Technologies is an equal opportunity employer. We recruit, employ, train, compensate and promote talent regardless of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic.