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Java Architect with Angular, Microservices, Cloud & AI Skills

Key Business Solutions, Inc.Reston, VA🇺🇸United StatesPosted 11 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Reston, VA, United States
Posted
17 hours ago
MicroservicesMySQLOracleRxJSSQLSpringSpring BootAPI GatewayAWSAngularAzureGitHub ActionsJavaJenkinsPostgreSQLREST

Job Description

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.

 

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