• Design, develop, and enhance software applications and data-driven solutions using modern programming languages and frameworks to support enterprise business systems. • Build and integrate software components and data services across cloud-based environments to ensure reliable system interoperability. • Develop and maintain applications utilizing relational databases and data processing frameworks, with emphasis on SQL-driven data operations. • Implement data processing scripts, automation routines, and distributed data processing logic using Python and PySpark to support data-intensive workflows. • Write clean, maintainable, and well-documented code; participate in code reviews and maintain software documentation. • Develop and execute unit and integration tests, debug defects, and resolve performance issues to improve system reliability. • Participate in Agile development ceremonies, manage tasks through DevOps tools, and use source code control systems such as Git. • Support development and deployment of applications within Azure-based environments. • Identify opportunities to improve application performance, automation, and development processes. • Work under moderate supervision with guidance from senior personnel.

• Design and implement robust APIs and middleware that connect AI agents to a mixed-tech stack (Node.js, .NET, Python, etc.), ensuring seamless data flow and interoperability. • Guide teams on best practices for integrating non-deterministic AI components into strictly typed mission-critical enterprise applications. • Develop the orchestration logic that determines when a task is handled by a traditional rule-based system versus an autonomous AI agent. • Build 'Validation Services' that sit between AI outputs and core systems to enforce rigid business rules. • Use Python and PySpark to build robust data pipelines that feed high-context information into AI models while maintaining traditional SQL-based transactional integrity. • Proven experience building and consuming RESTful APIs and managing service-to-service communication in a cloud environment (Azure preferred). • Deep knowledge of Git, Azure DevOps, and containerization (Docker/Kubernetes). • Establish deployment pipelines that include specialized testing for AI and interconnected components, such as prompt versioning, regression testing for model updates, and assisting with chaos-testing of logic flows. • Lead and participate in Agile development ceremonies, manage work through DevOps tools, and maintain source control using Git-based workflows.

• Build the Platform • Develop fast, reliable, and scalable web applications and APIs that power bookings, payments, availability, and guest experiences. • Design API-First Systems • Architect robust, well-documented APIs that connect Base360.ai to internal tools and external partners. • Automate at Scale • Build event-driven services and automated workflows that eliminate manual operations across the business. • Connect the Ecosystem • Deliver high-impact integrations with partners such as Airbnb, Stripe, Hostaway, and Twilio. • Deploy with Confidence • Ship and maintain serverless infrastructure on AWS, optimized for speed, resilience, and global scale.

• Own the Architecture • Lead by Building • Design API-First Platforms • Automate the Business • Integrate at Scale • Ship with Confidence • Solve the Hard Stuff • Raise the Bar