AIT Global inc.
Backend Developer (Node JS)
US · Senior · contract, third party
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About the role
- Contribute to PACE prototype feature implementation, including AI-powered features using Bedrock where applicable.
- Solid understanding of authentication and authorization mechanisms (RBAC, JWT, OAuth).
Responsibilities
- Design, develop, and maintain scalable backend services leveraging Amazon Web Services, with a focus on Amazon Bedrock for AI-driven capabilities.
- Implement RBAC (Role-Based Access Control) using AWS Cognito groups to ensure secure and role-specific access.
- Perform backend security hardening, including CORS lockdown, input validation, and API throttling mechanisms.
- Design and manage DynamoDB data models, including Global Secondary Indexes (GSIs), and handle backup/restore strategies.
- Develop and maintain data migration scripts, seed data tooling, and execute migration from staging to production environments.
- Build and expose secure, scalable RESTful APIs and integrate with frontend systems.
- Collaborate with frontend, DevOps, and product teams to deliver end-to-end solutions.
- Monitor system performance, troubleshoot issues, and optimize backend services for reliability and scalability.
Requirements
- Experience implementing API security best practices (CORS, validation, throttling, rate limiting).
- Hands-on experience with data migration strategies, scripting, and environment data management.
- Familiarity with Generative AI concepts, prompt engineering, and integrating AI services into backend systems.
- Experience with CI/CD pipelines, version control (Git), and DevOps practices.
- Good communication and ability to work in cross-functional teams.
- Experience and Skills Required: 9-13 years of experience in backend development.
Skills
- AWS Lambda, Amazon DynamoDB, Node JS, Amazon Bedrock, AWS Cognito Primary
- 9-13 years of experience in backend development.
- Strong hands-on experience with Node.js or similar backend technologies.
This listing is sourced directly from AIT Global inc.'s careers page and normalized into a canonical job model.