AI and Application Development Engineer - Assistant Vice President

Citi•Mississauga, ON

2d•CA$94,300 - CA$141,500•Onsite

About The Position

We are seeking a highly skilled Assistant Vice President (AVP), Software Senior Engineer, to design, develop, and maintain robust middleware solutions. The ideal candidate will have deep expertise in Java and Spring Boot, strong database knowledge, and a passion for leveraging AI to drive productivity and innovation.

Requirements

Core Java: Strong understanding (preferably Java 11/17), multithreading, collections, garbage collection, JVM internals
Frameworks: Extensive experience with Spring Framework (Spring Boot, Spring MVC, Spring Data JPA, Spring Security)
Middleware: RESTful APIs, microservices architecture
NoSQL Databases: MongoDB (data modeling, querying, performance tuning)
CI/CD & DevOps: Jenkins, GitLab CI, GitHub Actions, Maven, Gradle, Docker, Kubernetes
Version Control: Git, standard branching strategies (Gitflow)
Testing: JUnit, Mockito, integration testing
Web Technologies: SOAP/REST web services, XML, JSON
AI Tools & Methodologies: GitHub Copilot, Claude, Devin, Codex, Anti Gravity; AI/ML concepts, prompt engineering, integrating AI into development workflows (code generation, testing, debugging, documentation).
5-8 years of experience in applications development with modern software engineering practices.
Proven track record of managing and implementing successful projects.
Experience with AI-driven development approaches.
Working knowledge of consulting/project management techniques adaptable to AI-accelerated lifecycles.
Ability to work under pressure and manage deadlines with AI tools for enhanced adaptability.

Nice To Haves

Angular experience is a plus.
AI certification is a plus.

Responsibilities

Lead development of complex middleware applications using Java and Spring Boot, leveraging AI-powered tools (Copilot, Codex) to accelerate development and enforce best practices
Architect and optimize database interactions with Oracle, SQL, and MongoDB, using AI to analyze performance and suggest improvements
Drive adoption of CI/CD pipelines with AI-integrated testing, vulnerability scanning, and predictive failure analysis
Work with cross-functional teams to define requirements and deliver high-quality software
Guide junior engineers and foster AI-driven development practices
Research and implement AI technologies to enhance productivity and software quality
Participate in code reviews using AI-powered analysis tools for bug detection and security scanning
Troubleshoot complex issues using AI-driven anomaly detection and log analysis
Leverage AI for advanced risk analytics and compliance monitoring