Full Stack Developer

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.

“MUST HAVE” SPECIFIC KNOWLEDGE AND SKILLS :

• 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.