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# Java Lead - API Developer

- **Company:** Spectraforce
- **Location:** Richmond, VA, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Databases, Amazon DynamoDB, Python (Programming Language), PostgreSQL, NoSQL, OAuth, Performance Tuning, Queueing Systems, Redis, Swagger, JSON Web Token, Security Assertion Markup Language (SAML), Software Engineering, SQL Databases, WebSocket, Openapi, Google Cloud, Load Balancing, Postman, Istio, Software Security, Caching, Rate Limiting, Containerization, Kubernetes, Enterprise Integration, Apache Kafka, Graphql, Restful APIs, Software Version Control, Docker, Golang, Programming Languages, Microservices
- **Published:** October 4, 2026
- **Apply:** https://www.juju.com/job/21_01a0e59c-1a1e-764c-90fa-e68c136448cb

## About the Role

Problem-solving and analytical thinking
Collaboration with cross-functional teams
Clear technical communication
Code review proficiency

Experience
5-7 years of software development experience
Proven track record of building scalable APIs
Experience with cloud platforms (AWS, Azure, GCP)

## Description

Programming Languages: Proficiency in at (Python, Java, Go)
RESTful API Design: Deep understanding of REST principles, HTTP methods, status codes
API Protocols: REST, GraphQL, WebSockets
Authentication & Authorization: OAuth 2.0, JWT, API Keys, SAML
Database Knowledge: SQL and NoSQL databases (PostgreSQL, DynamoDB, Redis)
Version Control: Git/GitHub
Architecture Design: Microservices, Event-driven, Service mesh
Advanced Protocols: gRPC, GraphQL federation, WebSockets, Server-Sent Events
Security: API security best practices, rate limiting, threat modeling
Scalability & Performance: Load balancing, caching, CDN integration
Enterprise Integration: ESB, message queues (Kafka)

Technical Competencies
API documentation (OpenAPI/Swagger, Postman)
Microservices architecture
Containerization (Docker, Kubernetes)
CI/CD pipelines
Testing (unit, integration, end-to-end)
Performance optimization and caching strategies


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