ShiftCode Analytics
Lead Full-Stack Engineer - API and GraphQL - SGWS
ShiftCode Analytics, Miramar, Florida, United States
Interview: Virtual (READ MUST HAVES)
Visa: USC and GC (we need strong and senior candidate)
Onsite: Miramar, FL and Addison, TX (need local or 50miles)
Must have excellent, clear communication
9+ years of experience in an hands on role in Full Stack engineering focused on API development in GraphQL (Ariadne) and RESTful services Hands on experience with Node.js (Express/Nest.js), FastAPI (Python), and Golang.
API Management - API Gateway , APIGEE & Designing and deploying APIs as part of a microservices architecture .
React, HTML , JS , NodeJS, Python , Lambda , CI/CD & RESTful API and GraphQL development
JD: Responsibilities:
Design, develop, and maintain scalable RESTful APIs and GraphQL APIs using modern frameworks and best practices. Develop backend services using Node.js (Express/Nest.js), FastAPI (Python-based services), Ariadne (GraphQL APIs), and Golang (Streaming services). Integrate with Databricks to expose and manage OLAP (Online Analytical Processing) workloads, enabling API-driven data querying and analytics at scale. Architect APIs following metadata-driven design principles, ensuring that data can be dynamically exposed to users inside or outside the system while maintaining dynamic authentication mechanisms. Deploy and scale API services using AWS Lambda, Kubernetes (EKS), and AWS Bedrock for serverless and microservices-based architectures. Implement authentication and authorization best practices (OAuth2, JWT, API Gateway) while supporting dynamic authentication models based on user roles and access control. Design and optimize database interactions using SQL/NoSQL databases (MongoDB, PostgreSQL, DynamoDB). Develop CI/CD pipelines for automated API deployment using AWS services (CodePipeline, Bedrock, CloudFormation). Monitor and improve API performance, logging, and error handling using Prometheus, Grafana, and ELK stack. Work on AI-driven API integrations including Recommender Systems, LLM-based AI Agents, and AI-powered Image & Video Processing workflows. Collaborate with front-end engineers, data scientists, and DevOps teams to ensure seamless API integration and scalable deployments. Requirements:
9+ years of experience in API development with GraphQL (Ariadne) and RESTful services. Strong hands-on experience with Node.js (Express/Nest.js), FastAPI (Python), and Golang.
Proficiency in API design principles, focusing on metadata-driven frameworks that allow dynamic data exposure with adaptable authentication models. Experience with AWS Lambda, AWS Bedrock, and Kubernetes (EKS) for serverless and microservices architectures. Hands-on experience designing scalable and modular API architectures. Expertise in OAuth2, JWT, API Gateway, and dynamic authentication mechanisms. Strong knowledge of OLAP workloads and Databricks integration for API-driven data analytics. Experience with SQL/NoSQL databases (MongoDB, PostgreSQL, DynamoDB).
CI/CD automation expertise (Jenkins, GitHub Actions, AWS CodePipeline).
Proficiency in API testing frameworks (Postman, Newman, Jest, Mocha, PyTest). Strong debugging, logging, and monitoring skills (Grafana, Prometheus, ELK stack). Experience with GraphQL federation and Apollo Server. Knowledge of AI/ML APIs and LLM-based chatbot APIs (OpenAI, Hugging Face, LangChain). Experience with streaming technologies (Kafka, WebSockets, Golang-based streaming). Prior work with AI-powered data mapping, recommender systems, and real-time processing APIs.
9+ years of experience in an hands on role in Full Stack engineering focused on API development in GraphQL (Ariadne) and RESTful services Hands on experience with Node.js (Express/Nest.js), FastAPI (Python), and Golang.
API Management - API Gateway , APIGEE & Designing and deploying APIs as part of a microservices architecture .
React, HTML , JS , NodeJS, Python , Lambda , CI/CD & RESTful API and GraphQL development
JD: Responsibilities:
Design, develop, and maintain scalable RESTful APIs and GraphQL APIs using modern frameworks and best practices. Develop backend services using Node.js (Express/Nest.js), FastAPI (Python-based services), Ariadne (GraphQL APIs), and Golang (Streaming services). Integrate with Databricks to expose and manage OLAP (Online Analytical Processing) workloads, enabling API-driven data querying and analytics at scale. Architect APIs following metadata-driven design principles, ensuring that data can be dynamically exposed to users inside or outside the system while maintaining dynamic authentication mechanisms. Deploy and scale API services using AWS Lambda, Kubernetes (EKS), and AWS Bedrock for serverless and microservices-based architectures. Implement authentication and authorization best practices (OAuth2, JWT, API Gateway) while supporting dynamic authentication models based on user roles and access control. Design and optimize database interactions using SQL/NoSQL databases (MongoDB, PostgreSQL, DynamoDB). Develop CI/CD pipelines for automated API deployment using AWS services (CodePipeline, Bedrock, CloudFormation). Monitor and improve API performance, logging, and error handling using Prometheus, Grafana, and ELK stack. Work on AI-driven API integrations including Recommender Systems, LLM-based AI Agents, and AI-powered Image & Video Processing workflows. Collaborate with front-end engineers, data scientists, and DevOps teams to ensure seamless API integration and scalable deployments. Requirements:
9+ years of experience in API development with GraphQL (Ariadne) and RESTful services. Strong hands-on experience with Node.js (Express/Nest.js), FastAPI (Python), and Golang.
Proficiency in API design principles, focusing on metadata-driven frameworks that allow dynamic data exposure with adaptable authentication models. Experience with AWS Lambda, AWS Bedrock, and Kubernetes (EKS) for serverless and microservices architectures. Hands-on experience designing scalable and modular API architectures. Expertise in OAuth2, JWT, API Gateway, and dynamic authentication mechanisms. Strong knowledge of OLAP workloads and Databricks integration for API-driven data analytics. Experience with SQL/NoSQL databases (MongoDB, PostgreSQL, DynamoDB).
CI/CD automation expertise (Jenkins, GitHub Actions, AWS CodePipeline).
Proficiency in API testing frameworks (Postman, Newman, Jest, Mocha, PyTest). Strong debugging, logging, and monitoring skills (Grafana, Prometheus, ELK stack). Experience with GraphQL federation and Apollo Server. Knowledge of AI/ML APIs and LLM-based chatbot APIs (OpenAI, Hugging Face, LangChain). Experience with streaming technologies (Kafka, WebSockets, Golang-based streaming). Prior work with AI-powered data mapping, recommender systems, and real-time processing APIs.