• Provide software development expertise on a cross-functional team supporting the Department of Veteran Affairs • Design, develop, test, and maintain high-quality software solutions aligned with mission objectives and technical standards • Collaborate closely with multiple VA teams and stakeholders to translate functional requirements into scalable, secure, and maintainable code • Conduct peer code reviews and provide constructive feedback • Ensure adherence to coding standards, secure development practices, and performance optimization guidelines • Develop and maintain automated unit and integration tests • Troubleshoot and resolve complex technical issues across environments • Participate in sprint planning, backlog refinement, stand-ups, demos, and retrospectives • Support CI/CD pipelines and DevOps workflows • Maintain & enhance existing products to improve performance, scalability, and reliability • Identify and remediate technical debt • Support production deployments and assist in root cause analysis when issues arise • Recommend improvements to tools, frameworks, and development processes • Adhere to the DocMe360 Core Values

• Build high-quality, performant workflows and experiences using React and Next.js • Contribute across the stack, which includes: TypeScript, NestJS, NestJS and PostgreSQL • Develop scalable UI architecture using component libraries and design systems • Own features end-to-end, from concept to production • Leverage tools like Cursor or Claude Code to rapidly prototype and ship features • Improve code quality and reduce boilerplate • Assist in debugging, refactoring, and test generation • Write clean, maintainable, well-tested code • Contribute to code reviews, RFCs, and engineering standards • Help define and evolve best practices, patterns, and architecture • Ensure high quality through testing (unit/integration/E2E) and strong fundamentals • Work closely with Product, Design, other engineers, and SMEs from other parts of Cardata to shape solutions, not just implement tickets

• Lead the product expansion into new markets • Build production systems across the full stack • Make every engineer faster and better • Proactively drive where the platform needs to go before it becomes a bottleneck • Drive product urgency • Partner with Product on determining development priorities

• Contribute to all phases of product development, from ideation and prototyping to implementation and iteration • Build and evolve both frontend product experiences and backend services that power them • Fine-tuning existing models and optimize their performance for Mainstay use cases • Design reliable, scalable backend services to support AI-powered features in production • Leverage AI to modernize and automate legacy workflows in the real estate industry • Evaluate and benchmark LLM performance across latency, cost, accuracy, and hallucination rates • Tune prompts, chain-of-thought logic, and implement retrieval strategies such as RAG and vector stores • Monitor performance, safety, and cost of LLM-driven features in production environments • Define and build useful LLM-powered experiences in partnership with cross-functional teams • Mentor and support the growth of other engineers on the team • Collaborate closely with product managers, designers, and operators to identify and solve customer pain points