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Senior Java Engineer u2013 Agentic AI Driven Development - Senior Vice President (Mississauga)

Full-time

Responsibilities

  • Lead the design, development, and implementation of complex middleware applications using Java and Spring Boot.
  • Utilize AI‑powered code generation tools (Devin, Copilot, Codex) to accelerate development, automate boilerplate code, suggest optimal implementations, and enforce architectural patterns.
  • Use AI for design pattern identification and complex system architecture validation.
  • Architect and optimize database interactions with Oracle, SQL, and MongoDB; employ AI to analyze query performance, suggest indexing strategies, optimize schema designs, generate efficient SQL/NoSQL queries, predict database load, and recommend scaling solutions.
  • Drive the adoption and continuous improvement of CI/CD pipelines; integrate AI for intelligent test case generation, predictive failure analysis, automated code vulnerability scanning, and optimization of pipeline execution times.
  • Collaborate with cross‑functional teams, including product management, QA, and operations, to define requirements, design solutions, and deliver high‑quality software; use AI‑powered communication and summarization tools (Claude) to streamline requirement gathering and stakeholder communication.
  • Mentor and provide technical guidance to junior and mid‑level software engineers; leverage AI platforms for personalized learning paths, automated code feedback, and explanations of complex technical concepts.
  • Encourage junior engineers to adopt AI‑driven development practices.
  • Actively research and experiment with AI technologies to identify opportunities for enhancing developer productivity, automating tasks, and improving software quality.
  • Continuously explore emerging AI tools and techniques (e.g., Anti Gravity) and assess their applicability to our development ecosystem.
  • Participate in code reviews, ensuring adherence to coding standards, best practices, and architectural guidelines; utilize AI‑powered code analysis tools to pre‑scan code for potential bugs, security vulnerabilities, performance bottlenecks, and style deviations.
  • Troubleshoot and resolve complex technical issues, ensuring the stability and performance of production systems.
  • Implement AI‑driven anomaly detection in monitoring systems; leverage AI for rapid log analysis, root cause identification, and automated incident response workflows.
  • Contribute to the strategic planning and technical roadmap for our middleware platforms; employ AI to analyze industry trends, forecast technology evolution, and prioritize roadmap initiatives based on data‑driven insights.
  • Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk assessment, applications development, and model development; utilize AI for data synthesis, predictive modeling, risk identification, and accelerated prototype validation.
  • Monitor and control all phases of the development process (analysis, design, construction, testing, and implementation) and provide user and operational support; implement AI‑driven dashboards and reporting for real‑time project health, automated progress tracking, and proactive identification of development bottlenecks.
  • Utilize in‑depth specialty knowledge of applications development to analyze complex problems, evaluate business processes, system processes, and industry standards, and make informed judgments; augment human analytical capabilities with AI‑powered data analysis and pattern recognition.
  • Recommend and develop security measures in post‑implementation analysis to ensure successful system design and functionality; use AI‑driven security analysis tools to monitor applications for vulnerabilities, predict potential threats, and recommend adaptive security controls.
  • Consult with users, clients, and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems.
  • Employ AI to quickly understand user pain points, simulate solution impacts, and generate transparent documentation or prototypes for client review.
  • Ensure essential procedures are followed and help define operating standards and processes; utilize AI for automated compliance checks and workflow improvement suggestions based on performance data.
  • Serve as advisor or coach to new or lower‑level analysts; provide AI‑assisted guidance and training resources, offering personalized feedback and access to extensive knowledge bases.
  • Appropriately assess risk when business decisions are made, demonstrating consideration for the firm’s reputation and safeguarding Citi, its clients, and assets; leverage AI for advanced risk analytics, scenario planning, and compliance monitoring.

Required Technical Skills

  • Core Java: Robust understanding of Java (JDK 8+, preferably Java 11/17), including multithreading, collections, garbage collection, and JVM internals.
  • Frameworks: Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security).
  • Middleware: Proven experience designing and developing RESTful APIs and microservices.
  • Database Technologies (Must):
    • Relational Databases: Strong proficiency in SQL and experience with Oracle databases, including schema design, query optimization, and stored procedures.
    • NoSQL Databases: Experience with MongoDB, including data modeling, querying, and performance tuning.
  • CI/CD & DevOps: Hands‑on experience with CI/CD tools and practices (Jenkins, GitLab CI, GitHub Actions, Maven/Gradle, Docker, Kubernetes).
  • Version Control: Proficiency with Git and standard branching strategies (Gitflow).
  • Testing: Experience with unit testing frameworks (JUnit, Mockito) and integration testing.
  • Web Technologies (Beneficial): Familiarity with web services (SOAP/REST), XML, JSON.
  • AI Tools & Methodologies (Must):
    • Demonstrable experience with AI development tools such as Devin, GitHub Copilot, Claude, Anti Gravity, and Codex.
    • Robust understanding of AI/ML concepts, prompt engineering, and integrating AI into software development workflows (code generation, testing, debugging, documentation).
  • A keen desire to apply AI technologies to improve software development processes and outcomes.

Qualifications

  • 10+ years of relevant experience.
  • Experience implementing projects and conducting systems analysis and programming of software applications.
  • Demonstrated Subject Matter Expert (SME) in Applications Development.
  • Demonstrated knowledge of client core business functions.
  • Demonstrated leadership, project management, and development skills.
  • Relationship and consensus building skills.

Education

  • Bachelor’s degree or equivalent experience; Master’s degree preferred.

Job Family Group

Technology

Job Family

Applications Development

Time Type

Full time

Salary

$145,100.00 - $217,700.00

Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests and to align candidate skills with specific job openings. All hiring decisions are ultimately conducted and reviewed by individuals; automated processing does not rely on autonomous decision‑making.

Equal Opportunity Employer

Citi is an equal opportunity employer; qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristic. If you have a disability and need a reasonable accommodation to use our application tools or apply for a career opportunity, please contact us. Accessibility resources are available. View Citi’s EEO Policy Statement at eeo-aa-policy and Know Your Rights at EEO resources . Citi is an affirmative action employer.


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