Senior Software Developer - Full Stack
Quantiphi
full-remoteseniorpermanentfullstack United States 5 days ago via LinkedIn
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ReactTypeScriptNode.jsPythonAWSDockerCI/CDJestCypressAWS Cognito
About the role
Role: Senior Software Developer (Full Stack)
Quantiphi is hiring a Senior Full Stack Software Developer to design, build, and maintain reliable full-stack code while collaborating with engineering, DevOps, data, QA, and project teams.
Responsibilities
- Design, build, and maintain efficient, reusable, and reliable code across the full stack
- Lead development modules, debug complex issues, and enhance existing functionalities
- Collaborate cross-functionally with developers, DevOps, data engineers, QA, and project managers
- Communicate with clients to understand issues and gather requirements for new features
- Ensure integration, optimization, and security of web applications
Requirements (Must-Have)
- 4+ years of full-stack development experience
- Modern frontend framework expertise: React.js or Angular
- Backend language experience: Python or Node.js
- Backend frameworks: Express.js (Node) or Django/Flask (Python)
- TypeScript proficiency and strong OOP understanding
- IAM experience, specifically AWS Cognito and Active Directory integration
- Strong SQL and NoSQL database skills:
- SQL: PostgreSQL or MySQL
- NoSQL: MongoDB or DynamoDB
- Containerization and deployment:
- Docker
- Deploy on orchestration services such as AWS ECS
- Building/deploying web apps and microservices on AWS using services like:
- API Gateway, Lambda, SQS, SNS, Step Functions, S3
- CI/CD and automation:
- Automated CI/CD pipelines (e.g., GitHub Actions, GitLab CI)
- Automated testing frameworks (e.g., Jest, Pytest, Cypress)
- HTML5 and CSS knowledge
Location / Work Style
- Remote (USA/Canada)
About Quantiphi
Quantiphi is an award-winning, AI-first digital engineering and consulting company delivering enterprise-grade AI services and solutions. It partners with organizations to reimagine business operations using intelligent, scalable, and transformative AI, supported by cloud and data engineering practices and applied AI research.
Scraped 4/7/2026