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Graphql Engineer Jobs in Virginia (NOW HIRING)

Senior React Developer

Ashburn, VA · On-site

$55.75 - $73.75/hr

Senior React Developer Location: Ashburn, VA , Atlanta GA , St. Louis MO , Denver CO ,NY , TX - ... Extensive Experience with RESTful APIs and GraphQL * Experience with performance tuning and ...

Do you want to learn and work with the latest technologies, including React, Python, GraphQL, AWS ... Every Software Engineer at PerformYard will collaborate with our development team and corporate ...

Do you want to learn and work with the latest technologies, including React, Python, GraphQL, AWS ... Every Software Engineer at PerformYard will collaborate with our development team and corporate ...

Back End Developer

Fort Belvoir, VA · On-site

$185K - $220K/yr

... Developer to join our team in support of a government customer. This role will lead design ... API design (REST, GraphQL); cloud (AWS/Azure/GCP) + Docker/Kubernetes; server-side frameworks ...

Nodejs API Developer

Sterling, VA · On-site

$50.75 - $65.50/hr

Solid understanding of RESTful API principles, GraphQL (preferred). * Experience with microservices ... Experience with DevOps tools and CI/CD pipelines. * Knowledge of GraphQL, WebSockets, or real-time ...

Showing results 21-40

Graphql Engineer information

What are the key skills and qualifications needed to thrive as a GraphQL engineer?

To thrive as a GraphQL Engineer, you need strong proficiency in JavaScript or TypeScript, deep understanding of GraphQL schema design, and experience with API development, typically supported by a relevant computer science degree or equivalent experience. Familiarity with tools like Apollo Server/Client, Relay, Node.js, and version control systems such as Git is essential, along with experience in RESTful APIs and cloud platforms. Excellent problem-solving skills, collaborative teamwork, and effective communication distinguish top performers in this role. These skills ensure robust, efficient API development and seamless integration across front-end and back-end systems, driving product scalability and user satisfaction.

What does a GraphQL engineer do?

A GraphQL Engineer specializes in designing, developing, and maintaining APIs using the GraphQL query language. They work on building efficient data-fetching systems that allow clients to request exactly the data they need from a server. GraphQL Engineers often collaborate closely with frontend and backend teams to optimize API performance, ensure data security, and streamline application development. Their responsibilities may also include schema design, implementing resolvers, and integrating GraphQL with various databases or services.

What is the difference between Graphql Engineer vs Backend Developer?

AspectGraphql EngineerBackend Developer
Primary FocusDesigning and implementing GraphQL APIsBuilding and maintaining server-side application logic
Skills & CertificationsGraphQL, JavaScript/TypeScript, API designServer-side languages (Java, Python, Node.js), database management
Work EnvironmentCollaborates with frontend teams, API developmentDevelops core backend systems, database integration
Industry UsageTech companies, startups, organizations adopting GraphQLBroadly used across industries for backend services

While both roles involve backend development skills, a Graphql Engineer specializes in creating and optimizing GraphQL APIs, whereas a Backend Developer focuses on overall server-side application development. The choice depends on whether the role emphasizes GraphQL technology or general backend systems.

What are some common challenges GraphQL engineers face when designing scalable APIs, and how can they be addressed?

GraphQL Engineers often encounter challenges ensuring that APIs remain performant and scalable as the complexity of queries and the number of clients grow. Common issues include over-fetching or under-fetching data, managing query complexity to prevent expensive operations, and maintaining clear schema documentation. These can be addressed by implementing query depth and cost analysis tools, optimizing resolvers, using efficient data loaders, and collaborating closely with frontend teams to refine schema design for real-world use cases. Regular code reviews and performance monitoring also help maintain a robust and scalable GraphQL API.
What cities in Virginia are hiring for Graphql Engineer jobs? Cities in Virginia with the most Graphql Engineer job openings:

Senior Full Stack GenAI Engineer

Interon IT Solutions

Reston, VA • On-site

Contractor

Re-posted 18 days ago


Job description

#W2 only
 
Job title: Senior Full Stack GenAI Engineer 
Location: Reston VA - In person interviews so need Local In EAST coast only​
 
Description: 
Senior Full Stack GenAI Engineer with 10+ years of experience to design and build agentic AI 
solutions that automate enterprise workloads and business processes.​
The ideal candidate will have strong expertise in Python-based backend development, LLM-
powered applications, cloud-native deployment, vector databases, and modern DevOps practices. 
This role involves building end-to-end AI systems that integrate with enterprise platforms, 
automate workflows, and deliver production-grade AI applications.​

Key Responsibilities​
• Design and develop agentic AI applications that automate enterprise workflows and decision-
making processes.​
• Build scalable backend services using Python, FastAPI, and Pydantic.​
• Develop and deploy LLM-powered applications using models such as GPT and Claude.​
• Build AI agents and orchestration workflows using LangChain or Strands.​
• Implement Retrieval Augmented Generation (RAG) solutions using vector databases (pgvector, 
Pinecone, Weaviate).​
• Perform data analysis, preparation, and curation to build high-quality datasets for AI and 
knowledge retrieval systems.​
• Design and implement document ingestion pipelines for enterprise knowledge sources such as 
SharePoint, Confluence, and Jira.​
• Deploy AI workloads on AWS (Bedrock, ECS Fargate, S3) with proper security and scalability 
practices.​
• Develop and integrate enterprise APIs using REST, GraphQL, WebSockets, and web services.​
• Implement secure authentication and authorization using Ping Identity, OAuth2, OIDC, and 
SSO.​
• Build user interfaces for AI applications using ReactJS or Streamlit.​

DevOps & Deployment​
• Build and manage CI/CD pipelines using Jenkins or GitLab.​
• Implement GitOps practices for automated deployments.​
• Containerize applications using Docker and deploy to cloud platforms.​
• Implement security best practices, vulnerability scanning, dependency management, and 
container security.​

Required Skills​
Backend & APIs​
• Python​
• FastAPI​
• Pydantic​
• REST APIs, GraphQL, WebSockets​
GenAI & Agent Frameworks​
• LLMs (GPT, Claude)​
• LangChain or Strands​
• Retrieval Augmented Generation (RAG)​
• NLP (Natural Language Processing)​
Data & AI Pipelines​
• Data analysis, data preparation, and data curation​
• Document ingestion and knowledge base creation​
• Embeddings and semantic search​
Vector Databases​
• pgvector​
• Pinecone​
• Weaviate​
Cloud & Platforms​
• AWS (Bedrock, ECS Fargate, S3, Guardrails)​
Databases​
• PostgreSQL​
• DynamoDB​
Security & Identity​
• Ping Identity​
• OAuth2 / OIDC​
• SSO, Authentication & Authorization​
DevOps​
• Jenkins​
• GitLab​
• GitOps practices​
• Docker containerization​
• Security vulnerability mitigation​
Frontend​
• ReactJS​
• Streamlit​
Enterprise Tools​
• Portkey (AI Gateway)​
• Apigee (API Gateway)​
• Jira, Confluence, SharePoint