Backend Developer

We’re looking for individuals with hands-on startup and SaaS experience who thrive in fast-paced, product-driven environments.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 AWSDevelop integrations with third-party APIs (Property Management Systems (PMS), payment processors, communication channels)Implement robust data processing pipelines and automation workflowsDesign and optimize database schemas and search indicesWrite comprehensive tests and maintain high code quality standardsCollaborate on architecture decisions for a high-throughput, event-driven systemDebug complex distributed system issues and optimize performanceOur 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 ForRequired SkillsPython expertise (3+ years) with strong understanding of OOP principles and modern Python featuresAWS experience, especially serverless technologies (Lambda, DynamoDB, API Gateway)API development and third-party integration experienceDatabase design and optimization skillsTesting mindset with experience writing comprehensive test suitesDistributed systems understanding and debugging skillsPreferred ExperienceServerless architecture and Infrastructure as CodeEvent-driven systems and message queuesMonitoring and observability toolsFrontend experience with React and ReduxAI productivity tools - we welcome and encourage their useHospitality or SaaS industry experienceUnlimited Vacation: As long as key deliverables are met, you have unlimited time offEmployee Stock Options: Option for ESOP participation as part of compensation planRemote-First Culture: Fully remote with flexible hours (within EST overlap requirements)Direct Impact: Your work directly affects business outcomes and client successGrowth Opportunities: Rapid company growth means expanded responsibilities and career advancementWe 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. #J-18808-Ljbffr