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