Java Solution Architect ===H1B , USC , GC , H4 , EAD GC , TN , L2 ==Onsite

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US Staffing open position

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Feb 19, 2026, 1:52:23 PM (yesterday) Feb 19
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Please send resume –-- muk...@rconsultinginc.com

·       Role:                   Java Solution Architect

·       Location:          Chicago, IL 60604

·       Skills:                 Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.)

·       Experience :    15 + Years



Job Description:

 

Tech Stack: Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.)

Transformation & Coaching

·       Assessment & Roadmap Creation:
Evaluate the current technology landscape, identify gaps, and shape the transformation roadmap for modernization.

·       Culture Change Agent:
Break entrenched “comfort zone” patterns across a team with 10+ year legacy experience.
Mentor team members and interns on modern engineering practices, automation-first thinking, and cloud-native principles.

·       AI Adoption Leader:
Promote and operationalize the use of GitHub Copilot and other AI tools for:

o   Unit test generation

o   Code reviews & optimization

o   Issue impact diagnosis

o   Development efficiency

Technical Leadership & Delivery

·       Self-Sufficient Execution:
Build systems independently without needing detailed “how-to” instructions. Should naturally handle engineering essentials such as timeouts, retries, dead letter queues, error handling, and resiliency patterns.

·       Hands-on Development:
Write high‑quality Java code while enhancing CI/CD pipelines, improving automated testing, and increasing code coverage.

·       Cloud & Infrastructure Ownership:
Drive Azure-related engineering tasks including IAM, horizontal/vertical scaling, monitoring, and Infrastructure-as-Code (Terraform).
Operate with a philosophy of application teams owning their infrastructure.

Operational Excellence

·       Documentation & Knowledge Sharing:
Transition knowledge from individuals to scalable, documented, and automated processes; establish best practices and engineering playbooks.

·       Resiliency & Scalability Engineering:
Architect broadly stable systems that minimize production issues and increase platform reliability.

 



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