Senior Systems Developer

• Deliver production-ready AI solutions. Design build and deploy AI-powered applications LLM workflows document processing systems retrieval-augmented generation (RAG) pipelines and automation tools that solve real business problems across our three operating brands while consistently delivering high-quality solutions on schedule.
• Build scalable full-stack applications. Develop secure backend services in Python and TypeScript REST APIs and React-based user interfaces using clean semantic HTML and CSS delivering reliable applications with minimal production defects.
• Build reliable data platforms. Design and maintain PostgreSQL and Google BigQuery data pipelines that provide accurate dependable data for AI applications and business operations while maintaining greater than 99% pipeline reliability.
• Operate a resilient cloud platform. Deploy and support applications on Google Cloud Platform using Cloud Run Firebase Firestore and Google Cloud Storage while maintaining automated CI/CD pipelines greater than 99.9% application availability and efficient cloud resource utilization.
• Build scalable business integrations. Architect SaaS and PaaS solutions and maintain REST API integrations with third-party platforms that support multiple operating brands while improving system reliability observability and responsible cloud cost management.
• Maintain engineering excellence. Deliver secure well-documented code that follows engineering best practices properly manages secrets and proactively identifies architectural security and data privacy risks before they impact the business.
• Accelerate engineering through AI. Consistently leverage AI-native development tools such as Claude Code Cursor or Codex to improve development velocity code quality and engineering productivity while maintaining production-ready standards.
• Own delivery from architecture through deployment. Partner effectively with the Data & AI Lead and cross-functional stakeholders participate in architectural decisions collaborate asynchronously with a remote team aligned to U.S. business hours and consistently deliver high-quality solutions from design through production.

• Ownership - Takes full responsibility for projects from architecture through deployment follows through on commitments and proactively solves problems without waiting for direction.
• Judgment - Makes sound technical and business decisions by balancing speed scalability security and long-term maintainability while anticipating risks before they impact the business.
• Adaptability - Thrives in a rapidly evolving AI landscape by quickly learning new technologies embracing change and continuously improving processes and solutions.
• Collaboration - Builds strong relationships across technical and business teams communicates clearly and works effectively in a remote asynchronous environment.
• Execution - Delivers high-quality work on time manages competing priorities effectively and consistently turns ideas into reliable production-ready solutions.

• Bachelors degree in Computer Science Software Engineering Computer Engineering Information Systems or a related technical field or an equivalent combination of education and professional experience.
• 5 years of software or systems engineering experience building and deploying production applications.
• Experience developing full-stack applications using Python TypeScript JavaScript React HTML and REST APIs.
• Experience designing and maintaining PostgreSQL and Google BigQuery databases including schema design query optimization migrations and analytical SQL.
• Experience deploying and operating applications on Google Cloud Platform including Cloud Run Firebase Firestore Google Cloud Storage and CI/CD pipelines.
• Experience developing SaaS or PaaS solutions and integrating third-party platforms through REST APIs.
• Experience building production AI applications using LLM APIs prompt engineering agentic workflows and AI-native development tools such as Claude Code Cursor or OpenAI Codex.
• Experience implementing secure software development practices including least-privilege IAM secrets management and protection of sensitive data in production environments.
• Preferred: Experience building retrieval-augmented generation (RAG) systems multi-model LLM gateways or workflow automation platforms such as n8n or Make.
• Preferred: Experience in real estate financial data pipelines investor reporting systems or PDF generation and templated document rendering.
• Ability to work full-time and maintain significant overlap with U.S. business hours including evening or overnight schedules as needed.

• Dedicated home office or professional remote work environment.
• Reliable high-speed internet connection capable of supporting video conferencing and daily business operations.

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