Java Solution Architect

Role: Java Solution engineer Architect SkillsCore Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.) Experience: 15 + Years Location: Chicago Scroll down for a complete overview of what this job will require Are you the right candidate for this opportunity We are seeking a highly skilled and experienced Java Solution engineer Architect who brings more than traditional development capability—someone with a core engineering mindset, strong independent problem-solving skills, and the ability to influence and uplevel an existing team. This role is central to our transformation journey to modernize legacy systems and move toward an autopilot engineering model. The ideal candidate is not an "order-taker" but a Better Engineer—someone who can diagnose issues, architect solutions, and drive modernization without needing step-by-step direction. Job Description:Tech Stack: Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.) Transformation & CoachingAssessment & 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: Unit test generation Code reviews & optimization Issue impact diagnosis Development efficiency Technical Leadership & DeliverySelf-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 ExcellenceDocumentation & Knowledge Sharing:Transition knowledge from individuals to scalable, documented, and automated processes; establish best practices and engineering playbooks. xywuqvp Resiliency & Scalability Engineering:Architect broadly stable systems that minimize production issues and increase platform reliability.