• Build and maintain modern web applications using TypeScript and React. • Develop new product features and improve existing applications. • Integrate third-party APIs and external services. • Build internal tools and automations that improve business processes. • Translate business requirements into reliable, maintainable software. • Write clean, well-structured, and maintainable code. • Troubleshoot issues and continuously improve application performance and reliability. • Participate in code reviews and collaborate with teammates to improve engineering practices. • Communicate progress, blockers, and technical decisions clearly with the team.

• Build and maintain modern web applications using TypeScript and React. • Develop new product features and improve existing applications. • Integrate third-party APIs and external services. • Build internal tools and automations that improve business processes. • Translate business requirements into reliable, maintainable software. • Write clean, well-structured, and maintainable code. • Troubleshoot issues and continuously improve application performance and reliability. • Participate in code reviews and collaborate with teammates to improve engineering practices. • Communicate progress, blockers, and technical decisions clearly with the team.

• Develop, release and run a large scale web application • Enhance performance and logistics by solving complex technical problems • Collaborate with a team of engineers and analysts to determine the best path for the product • Research and experiment with new technologies

• 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.