Java ENTERPRISE ARCHITECT
Calabitek
We are looking for an innovative Junior Enterprise Architect Open Source & AI to join our engineering team
.who is passionate about designing modern enterprise solutions using open-source technologies, cloud platforms,
and AI-assisted development tools.
You will work closely with senior architects and engineering teams to design scalable solutions, build Proof of
Concepts (PoCs), develop AI-powered applications, and rapidly prototype enterprise solutions using the latest AI
coding tools.
Key Responsibilities
Design enterprise and cloud-native solution architectures.
Build Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) using AI-assisted coding tools.
Design and develop REST APIs, microservices, and AI-powered applications.
Evaluate, integrate, and recommend modern open-source technologies.
Collaborate with engineering teams throughout the software development lifecycle-from concept and
architecture to implementation and deployment.
Develop scalable backend services and cloud-native applications.
Contribute to solution architecture, technical design reviews, and engineering best practices.
Leverage AI tools to improve developer productivity and accelerate software delivery.
Required Skills
Programming Languages Java /Python /Node.js /React
Backend & Cloud Technologies :Spring Boot,REST APIs ,Microservices ,Docker ,Kubernetes &AWS, Azure, or
Google Cloud Platform (GCP)
AI & Open Source Technologies LangChain ,Ollama or vLLM ,Vector Databases ,Model Context Protocol (MCP)
&AI-powered application development
AI Development Tools
Experience using one or more of the following:
ChatGPT
Claude Code
ROLE: JUNIOR ENTERPRISE ARCHITECT OPEN SOURCE & AI
LOCATION: LAS VEGAS, NV
Cursor
GitHub Copilot
Windsurf
Core Competencies
Enterprise architecture fundamentals
Cloud-native application development
Strong analytical and problem-solving skills
Rapid prototyping and innovation mindset
Excellent communication and collaboration skills
Preferred Qualifications
Experience with Retrieval-Augmented Generation (RAG).
Experience building AI Agents and LLM-based applications.
GitHub portfolio or contributions to open-source projects.
Knowledge of enterprise integration and distributed systems.
Exposure to modern software architecture patterns and AI-enabled enterprise applications.
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