Senior Java Engineer Agentic AI Driven Development

Responsibilities (Leveraging AI)

• Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot
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  Utilize AI‑powered code generation tools (e.g., Devin, Copilot, Codex) to accelerate development, automate boilerplate code, suggest optimal implementations, and enforce architectural patterns. Leverage AI for design pattern identification and complex system architecture validation.
• Architect and optimize database interactions with Oracle, SQL, and MongoDB
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  Employ AI to analyze database query performance, suggest advanced indexing strategies, optimize schema designs, and generate efficient SQL/No
  
  SQL queries. AI‑driven tools also help predict database load and recommend scaling solutions.
• Drive the adoption and continuous improvement of CI/CD pipelines
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  Integrate AI into CI/CD processes for intelligent test case generation, predictive failure analysis, automated code vulnerability scanning, and optimization of pipeline execution times based on historical data.
• Collaborate with cross‑functional teams
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  Use AI‑powered communication and summarization tools (e.g., Claude) to streamline requirement gathering, document analysis, and stakeholder communication. AI can also translate technical designs into accessible formats for various audiences.
• Mentor and provide technical guidance to junior and mid‑level software engineers
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  Leverage AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical concepts. Encourage the adoption of AI‑driven development practices.
• Research and experiment with AI technologies
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  Continuously explore emerging AI tools (e.g., Anti Gravity for complex problem‑solving) and assess their applicability to the development ecosystem.
• Participate in code reviews
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  Utilize AI‑powered code analysis tools to pre‑scan code for potential bugs, security vulnerabilities, performance bottlenecks, and style deviations, allowing reviewers to focus on higher‑level logic and design.
• Troubleshoot and resolve complex technical issues
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  Implement AI‑driven anomaly detection in monitoring systems, leverage AI for rapid log analysis and root cause identification, and automate incident response workflows.
• Contribute to strategic planning and technical roadmap
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  Employ AI to analyze industry trends, forecast technology evolution, assess the impact of new features, and prioritize roadmap initiatives based on data‑driven insights.
• Conduct tasks related to feasibility studies and estimations
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  Utilize AI for data synthesis, predictive modeling for estimations, identification of potential IT risks, and accelerated model prototyping and validation.
• Monitor and control all phases of the development process
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  Implement AI‑driven dashboards and reporting for real‑time project health, automated progress tracking, and proactive identification of development lifecycle bottlenecks.
• Analyze complex problems and provide evaluative judgment
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  Augment human analytical capabilities with AI‑powered data analysis and pattern recognition to inform robust decision‑making.
• Recommend and develop security measures
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  Use AI‑driven security analysis tools to monitor applications for vulnerabilities, predict potential threats, and recommend adaptive security controls.
• Consult with users/clients and technology groups
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  Employ AI to quickly understand user pain points, simulate solution impacts, and generate documentation or prototypes for client review.
• Ensure essential procedures and define operating standards
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  Utilize AI for automated compliance checks and suggest improvements to operational workflows based on performance data.
• Serve as advisor or coach to new or lower‑level analysts
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  Provide AI‑assisted guidance and training resources, offering personalized feedback and access to extensive knowledge bases.
• Assess risk for business decisions
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  Leverage AI for advanced risk analytics, scenario planning, and compliance monitoring to enhance the accuracy and foresight of risk assessments.

• Core Java
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  Strong understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals.
• Fra…