Microservices & API Integration Engineer Job Washington area,District of Columbia USA,Software Development

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

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/No

SQL databases (MongoDB, PostgreSQL, DynamoDB).

Develop CI/CD pipelines for automated API deployment using AWS services (Code Pipeline, Bedrock, Cloud Formation).

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 Dev Ops teams to ensure seamless API integration and scalable deployments.

What are the must have skills for this position?

5+ years of experience in API development with GraphQL (Ariadne) and RESTful services.
Strong hands—
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/No

SQL databases (MongoDB, PostgreSQL, DynamoDB).
CI/CD automation expertise (Jenkins, Git Hub Actions, AWS Code Pipeline).
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, Lang Chain).
Experience with streaming technologies (Kafka, Web Sockets, Golang-based streaming).
Prior work with AI-powered data mapping, recommender systems, and real-time processing APIs.