Senior Full Stack Software Engineer
Location: Remote, U.S. candidates must be located in Central Time or farther east
Schedule: Remote | 40 hours/week
Contract: 9 months with potential extension
Compensation: $87.32/hr W2
About the Role:
We’re looking for a Senior Full Stack Software Engineer to develop new applications and modernize existing systems using React.js, Node.js, JavaScript, and AWS serverless technologies. This is a hands-on development role for an experienced engineer who can work independently, contribute across the full stack, and collaborate effectively within a remote engineering team.
Key Responsibilities:
- Design and develop full-stack applications using React.js, Node.js, and JavaScript/ES6
- Build scalable AWS serverless applications and microservices
- Develop and integrate APIs and data-driven solutions
- Work with relational and NoSQL databases
- Create unit tests and automated API/integration tests
- Support CI/CD pipelines and development automation
- Modernize legacy applications and improve existing systems
- Create technical designs and documentation
- Collaborate with engineering and cross-functional teams
Education & Experience:
- 7+ years of professional software development experience required
- Strong background developing modern full-stack applications
- Degree in Computer Science, Engineering, or a related technical field is preferred but not specifically required in the job description
Required Skills & Qualifications:
- JavaScript / ES6
- Node.js development
- React.js
- Strong AWS serverless development experience
- AWS Lambda
- DynamoDB
- S3
- SNS/SQS
- RDS / SQL
- Relational and NoSQL databases
- Microservices and API development
- Unit and automated integration testing
- CI/CD using Jenkins, AWS CodePipeline, or similar
- Strong communication skills and ability to work independently
- Experience using agentic AI tools in software development
Preferred Qualifications:
- Event-driven architecture and stream processing
- AWS Kinesis
- Claude, Copilot, LangChain, or similar AI/LLM development tools
- AWS CloudFormation or CDK
- GitHub-based CI/CD workflows
- AWS KMS, VPC, Route 53, ALB/ELB
- Java or Python exposure
- Agile/Scrum experience
- AWS or other relevant technical certifications
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