• Design, model, and implement graph data structures that capture complex system relationships, workflows, and time-dependent processes using Neo4j, Gremlin, or similar tools. • Build and integrate web application back ends and contribute to front-end development as needed to deliver complete, production-ready features. • Develop and maintain robust ETL and data pipelines spanning structured, semi-structured, and unstructured data, with strong attention to data quality. • Engineer real-time and event-streaming workflows that handle high-velocity, sequential data flows. • Deploy and operate enterprise applications in cloud environments using containerization and orchestration, applying DevOps, DataOps, and MLOps practices. • Apply GenAI/ML techniques, including GraphRAG, to graph-related and NoSQL data problems. • Write thorough unit, integration, and API tests to ensure robust, scalable, and maintainable solutions. • Run simulations and apply advanced analytics in Python to solve complex mission problems. • Align data engineering approaches with large-scale interconnected systems to ensure adaptability and scalability.

• Serve as the key technical architect across multiple client engagements • Lead architecture design across frontend, backend, and cloud layers • Contribute directly to implementation — writing production-grade code • Collaborate across disciplines (Hardware, Data Science, and Design) • Partner with our commercial team as a solutions engineer • Identify and mitigate architectural or delivery risks early through proactive technical leadership

• Help build great experiences for our members and hosts, across new features, our core membership products, and our mobile apps. • Think about problems and solutions with a long-term view while making the practical trade-offs that help the company move quickly. • Collaborate with product, marketing, customer service, and finance to prioritize and refine as you go.

• Build and evolve backend services and APIs as your primary focus • Design, implement, and operate REST APIs and services in Python • Build durable data models and data access using PostgreSQL (or comparable RDBMS) • Improve reliability and operability through logging, metrics, tracing, and robust error handling • Deliver and maintain WebApp features by building UI functionality using React (hooks) • Implement consistent UI with HTML/CSS and Tailwind CSS • Integrate APIs and handle routing/state patterns as needed (Redux is a plus, not required) • Ship and maintain cloud infrastructure using AWS CDK (TypeScript or Python) • Work with AWS serverless services (e.g., API Gateway, Lambda) and deployment pipelines • Contribute to CI/CD and DevOps practices to ship safely and often