Own and evolve end-to-end architecture across frontend (web), mobile, backend services, and data platforms.
Design scalable, fault-tolerant distributed systems supporting millions of users and sensitive healthcare data.
Define and drive adoption of architectural patterns across frontend, backend, and mobile teams.
Lead design reviews and author RFCs for complex initiatives spanning multiple teams.
Ensure systems meet enterprise-grade requirements for availability, performance, observability, and compliance.
Build modern web applications using React and TypeScript.
Define frontend architectural standards (state management, API patterns, component structure, performance, accessibility).
Partner with design and product to deliver high-quality user experiences with strong UX consistency.
Drive improvements in frontend performance, reliability, and maintainability.
Contribute to and influence architecture for Foodsmart’s mobile applications.
Collaborate on mobile-specific patterns including offline support, caching, push notifications, deep linking, analytics, and app release workflows.
Ensure mobile experiences are secure, performant, and consistent with backend and web platforms.
Partner with mobile engineers to define shared API and integration standards.
Improve mobile developer velocity through tooling, testing strategies, and CI/CD best practices.
Design and maintain high-performance APIs (REST and event-based) serving web, mobile, and partner integrations.
Build durable SQL and NoSQL data models with strong reliability and scalability guarantees.
Develop backend systems using TypeScript / Node.js and AWS-native services (Lambda, SQS, RDS, DynamoDB, EC2).
Lead data modeling decisions, migrations, and long-term maintainability improvements.
Partner with security and compliance teams to implement HIPAA-aware and privacy-first designs.
Champion AI-assisted workflows across design, implementation, testing, and DevOps.
Help establish guardrails and best practices for responsible AI usage across engineering.
Identify opportunities to embed AI/ML capabilities into product systems (e.g., personalization, automation, workflow optimization).
Improve engineering velocity using AI tooling without compromising quality, security, or compliance.
Drive cloud-native architecture practices using Docker and Kubernetes.
Partner with DevOps to strengthen CI/CD pipelines, infrastructure-as-code, and deployment safety.
Establish best practices for observability, alerting, incident response, and postmortems.
Proactively identify and mitigate scalability, performance, and reliability risks across web, mobile, and backend.
Collaborate with product, design, data, clinical, and business teams to translate complex requirements into scalable technical solutions.
Influence roadmap decisions through strong technical insight and execution planning.
Lead cross-team initiatives, ensuring alignment on architecture, delivery sequencing, and long-term maintainability.
Communicate complex technical concepts clearly to both technical and non-technical audiences.
Mentor senior and mid-level engineers on system design, technical decision-making, and full stack best practices.
Raise engineering standards through code reviews, design feedback, and technical coaching.
Promote shared ownership and a culture of engineering excellence and continuous improvement.
Drive adoption of shared libraries, patterns, and platform capabilities across teams.

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