What are the responsibilities and job description for the Full Stack Developer position at Jobs via Dice?
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KEY RESPONSIBILITIES AND DUTIES :
KEY RESPONSIBILITIES AND DUTIES :
- Build and maintain full-stack platform features across user-facing workflows, backend APIs, and supporting services.
- Develop clean, reliable services using TypeScript, JavaScript, Node.js, Python, and modern API development practices.
- Design and enhance frontend applications using React, HTML, CSS, and modern frontend frameworks.
- Integrate AI providers and platform services including model APIs, embeddings, streaming responses, and provider abstraction patterns.
- Support cloud-native application delivery on AWS while collaborating on emerging Google Cloud Platform initiatives.
- Implement secure API access controls, authentication, authorization, rate limiting, routing, and usage tracking capabilities.
- Develop observability workflows including logging, monitoring, tracing, metrics collection, and operational dashboards.
- Collaborate with Product, Platform Engineering, Security, DevOps, and Architecture teams to deliver scalable AI platform solutions.
- Create maintainable code, automated tests, technical documentation, and operational runbooks. Support enterprise AI governance, compliance, security, and developer onboarding initiatives.
- Minimum 7 years of professional Software Engineering experience.
- Strong hands-on experience with TypeScript, JavaScript, Node.js, React, HTML, and CSS.
- Experience building production-grade backend services, REST APIs, and service-to-service integrations.
- Strong knowledge of AWS cloud services and cloud-native deployment architectures.
- Experience working with databases and caching technologies such as PostgreSQL, DynamoDB, Redis, or similar platforms.
- Hands-on experience with Docker, CI/CD pipelines, Git, automated testing, and modern software delivery practices.
- Experience integrating AI/GenAI services such as AWS Bedrock, OpenAI, Anthropic, Azure OpenAI, Google Gemini, or similar platforms.
- Knowledge of model APIs, embeddings, prompt engineering, streaming responses, and AI application development patterns.
- Strong understanding of API gateway concepts including authentication, quotas, rate limits, routing, policy enforcement, and developer onboarding.
- Experience with observability tools including logs, traces, metrics, audit events, cost tracking, and usage reporting.
- Hands-on experience with AWS services such as Lambda, ECS, EKS, API Gateway, S3, CloudWatch, Secrets Manager, RDS, and DynamoDB.
- Ability to work across frontend, backend, cloud, and platform engineering domains in fast-paced environments.