Java Architect with Angular, Microservices, Cloud & AI Skills

Hybrid in Reston, VA, US • Posted 12 hours ago • Updated 12 hours ago
Contract W2
Contract Corp To Corp
12 Months
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Angular
  • Microservices
  • Cloud & AI Skills

Summary

Java Architect with Angular, Microservices, Cloud & AI Skills

Reston, VA

Duration: Long term

 

### Core Responsibilities

- Lead end‑to‑end application architecture across Java, Angular, microservices, cloud, and AI‑enabled components. 

- Define scalable solution designs integrating automation agents, AI workflows, and enterprise systems. 

- Drive adoption of AI‑powered development, including code generation, test automation, and intelligent agents. 

- Oversee API strategy, versioning, security, and integration with front‑end and backend systems. 

- Provide technical leadership, mentoring, and architectural governance across teams.

 

### Required Technical Skills

- Java Development — Java 8/11+, OOP, collections, multithreading, exception handling. 

- Spring Boot — Microservices, REST APIs, dependency injection, JPA, caching, security. 

- Angular — Angular 12+, components, services, RxJS, routing, forms, NgRx. 

- RESTful Architecture — API design, versioning, error handling, front‑end integration. 

- SQL & Database Architecture — Queries, stored procedures, relational modeling (Oracle, PostgreSQL, MySQL). 

- UI/UX Governance — Responsive design, reusable components, accessibility standards. 

- CI/CD & DevOps — Maven/Gradle, Jenkins/GitHub Actions, automated deployments. 

- Cloud Architecture — AWS/Azure (EC2, S3, Lambda, API Gateway). 

 

### AI & Agent Architecture Skills

- AI Integration — Designing AI‑enabled workflows, integrating LLMs, and building intelligent automation. 

- Agent‑Based Architecture — Event‑driven agents, orchestration, triggers, autonomous workflows. 

- AI‑Driven Automation — Using AI for test generation, code review, defect prediction, and data generation. 

- ML/AI Platforms — Experience with Azure OpenAI, AWS Bedrock, or similar platforms. 

- Prompt Engineering — Designing prompts for agent workflows and automation tasks.

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTL149247
  • Position Id: 9081891
  • Posted 12 hours ago
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KK

Kiran Kumar

Recruiter @ Key Business Solutions, Inc.
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