Open role
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