Python Backend Developer

Enso Connect is a guest experience platform for vacation rentals and boutique hotels that seamlessly plugs into property management systems to personalize and monetize interactions throughout the entire guest journey. From AI-driven messaging and contactless check-in to upsells and verification, we are the "Zapier of hospitality" - connecting all the tools you already love while increasing profit per guest.

We are a well-funded startup with strong product-market fit and excellent sales momentum. We are expanding rapidly and need to scale our engineering team. Our current tech team is around 12 people. We operate as a true meritocracy where the best ideas win regardless of seniority. We have an energetic culture that moves fast. Every engineer has a voice in technical and product decisions.

You will be joining our engineering team to help build this mission-critical system that processes thousands of bookings daily for hospitality businesses worldwide. This is a full-time remote position (38-40 hrs / week) that requires high autonomy and self-direction, with significant ownership over your work and direct connection to business impact and clients. We require overlap of at least 3 hours with EST business hours (9 AM - 5 PM EST). On rare occasions, system outages may require attention outside of regular business hours.

Key Responsibilities :

• Build and maintain scalable serverless backend services using Python and AWS
• Develop integrations with third-party APIs (PMS systems, payment processors, communication channels)
• Implement robust data processing pipelines and automation workflows
• Design and optimize database schemas and search indices
• Write comprehensive tests and maintain high code quality standards
• Collaborate on architecture decisions for a high-throughput, event-driven system
• Debug complex distributed system issues and optimize performance

Our stack is built around Python 3.9 and AWS serverless services including Lambda, DynamoDB, API Gateway, SQS / SNS, and OpenSearch, with Serverless Framework handling our Infrastructure as Code.

We use Pydantic for data validation, Pinject for dependency injection, pytest for comprehensive testing, and maintain code quality with mypy, black, and pylint through pre-commit hooks.

Key integrations include PMS platforms (Airbnb, Guesty, Hostaway), payment and communication services (Stripe, Twilio, WhatsApp), with DataDog monitoring and LaunchDarkly feature flags for observability.

Who We Are Looking For

Required Skills

• Python expertise (3+ years) with strong understanding of OOP principles and modern Python features
• AWS experience , especially serverless technologies (Lambda, DynamoDB, API Gateway)
• API development and third-party integration experience
• Database design and optimization skills
• Testing mindset with experience writing comprehensive test suites
• Distributed systems understanding and debugging skills

Preferred Experience

• Serverless architecture and Infrastructure as Code
• Event-driven systems and message queues
• Monitoring and observability tools
• Frontend experience with React and Redux
• AI productivity tools - we welcome and encourage their use
• Hospitality or SaaS industry experience
• Unlimited Vacation : As long as key deliverables are met, you have unlimited time off
• Employee Stock Options : Option for ESOP participation as part of compensation plan
• Remote-First Culture : Fully remote with flexible hours (within EST overlap requirements)
• Direct Impact : Your work directly affects business outcomes and client success
• Growth Opportunities : Rapid company growth means expanded responsibilities and career advancement

We are looking for a mid-to-senior level engineer (3-7 years) with production system and API integration experience. You should be comfortable working independently and taking full ownership of features from start to finish. Strong communication skills are essential for remote collaboration. You should write clean, well-tested code and enjoy solving complex problems in distributed systems.

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