Overview
On Site
Depends on Experience
Contract - W2
Contract - Independent
Skills
5+ years of experience in an hands on roleStrong experience with GraphQL and APIHands 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).
Nice to HaveExperience 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.
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).
Work on AI-driven API integrations including Recommender Systems
LLM-based AI Agents
and AI-powered Image & Video Processing workflows.
Design and optimize database interactions using SQL/NoSQL databases (MongoDB
DynamoDB).Develop CI/CD pipelines for automated API deployment using AWS services (CodePipeline
Bedrock
CloudFormation).Monitor and improve API performance
and error handling using Prometheus
Grafana
and ELK stack.
Job Details
Position Title: Full Stack Engineer JPC - 6575
Location: Miramar or Dallas Required Experience: 10 years
Tax Terms: C2C, W2
Required/ Desired Skills:
Hi Team,
Need your support for the below roles.
Role: Full Stack Engineer
Location: Miramar or Dallas
Duration: Long term
No H1B,OPT and CPT
Must Have:
5+ years of experience in an hands on role
Strong experience with GraphQL and API
Hands on experience with Node.js (Express/Nest.js), FastAPI (Python), and Golang.
5+ years of experience in an hands on role
Strong experience with GraphQL and API
Hands on experience with Node.js (Express/Nest.js), FastAPI (Python), and Golang.
Job Description:
5+ 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).
Nice to Have
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.
5+ 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).
Nice to Have
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.
Description:
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.
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.
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