Senior Full Stack Engineer – AI & Emerging Technology - 1619

This is a remote position. Onsite/ Hybrid/ Remote: Remote Duration:5- 6 Months to start with Rate Range: Upto $80/hr W2 or $88/hr C2C Work Authorization: GC, USC, H1B All valid EADs except OPT, CPT 2 Roles-: Full stack - Backend heavy with Databricks (contract through November 2026): Build and enhance election analytics and data-driven applications used by editorial and business teams. Full stack - backend heavy (contract through December 2026): Modernize and harden a multi-tenant SaaS platform running on AWS, including enhancements to scalability, reliability, security, and platform architecture. Must Have: React TypeScript Python Node.js AWS REST APIs GraphQL Microservices Event-Driven Architecture Cloud-Native Application Development Responsibilities: Build and enhance modern full stack applications using React, TypeScript, Python, and Node.js Develop scalable frontend experiences and backend services supporting business-critical platforms Design and implement REST APIs, microservices, and cloud-native solutions on AWS Collaborate with product, design, and engineering teams to deliver new capabilities and improvements Participate in architecture discussions, technical design reviews, and production support activities Improve application scalability, performance, reliability, and operational efficiency Develop automation, monitoring, and deployment solutions supporting production environments Contribute to code reviews, engineering best practices, and technical mentoring Qualifications: 4+ years of professional software engineering experience Strong React and TypeScript frontend development experience Strong backend development experience using Python and/or Node.js Experience building and supporting cloud-native applications on AWS Experience designing APIs, microservices, and distributed systems Experience with CI/CD pipelines and modern software delivery practices Experience working in Agile product development environments Nice to Have: GraphQL AI-assisted development tools such as Cursor or Claude Code Kubernetes Docker Real-time analytics or dashboard applications Enterprise SaaS platform experience