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In this hands-on Subject Matter Expert (SME) role, you will act as a high-impact problem solver deployed across enterprise programs to diagnose, troubleshoot, and resolve critical technical bottlenecks, system defects, and architectural challenges.\nThis position focuses purely on technical mastery, code-level execution, and cross-team problem resolution-without administrative people-management responsibilities.\nKey Responsibilities\nHigh-Priority Incident & Problem Resolution: Serve as a core technical expert within the SWAT unit, diagnosing and resolving high-severity technical issues, integration blockers, and operational bugs across complex enterprise systems.\n Hands-on Full-Stack Engineering: Write, refactor, and review clean, maintainable code across modern Java backends and modern JavaScript frontend frameworks (Angular/React).\nSystem Modernization & Architecture: Support architectural discussions, microservices design, and continuous system modernization efforts across core enterprise platforms.\nProactive Risk Mitigation: Analyze system performance, dependencies, and code pipelines to identify potential bottlenecks and vulnerabilities before they impact production.\nCross-Team Collaboration: Partner with cross-functional development squads, architects, and DevOps engineers to streamline delivery and align technical integrations.\nAI-Assisted SDLC Optimization: Leverage cutting-edge AI coding tools, copilot extensions, and automated frameworks to accelerate software delivery, debugging, and testing.\nQualifications & Technical Requirements\nCore Requirements:\n10+ years of hands-on commercial experience engineering web-based applications across Java backends and modern frontends.\nCore Backend Stack: Advanced proficiency in Java (Java 17/21/25), Spring Boot, and microservices architectures.\nFrontend Expertise: Solid practical experience with Angular or React.js (proficiency in both is strongly preferred).\nAPIs & Integration: Extensive background in building and consuming REST APIs and legacy SOAP web services.\n Database Management: Strong proficiency in SQL and relational database systems (MS SQL Server preferred).\nCloud & DevOps: Practical experience with Microsoft Azure (Azure DevOps, Cosmos DB, Application Insights) and modern CI/CD deployment pipelines (GitHub, Git).\n AI Tooling: Demonstrated experience applying AI-driven tools and agentic practices within the Software Development Life Cycle (SDLC).\n Education & Languages: Bachelor’s degree in Computer Science, IT, Engineering, or a related technical discipline. 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