Lead Java Backend Engineer| AI-Driven Spring Microservices

Citigroup Inc.; Mississauga; On-site; CAD 170,000 - 240,000; Full time

Job summary

Citi in Mississauga is seeking an Applications Development Technology Lead Analyst to design, develop, and deploy high-performance Java/Spring Boot applications using MongoDB for persistence. The role blends backend development with emerging AI technologies to drive innovative software solutions.

The ideal candidate will lead application analysis, programming activities, and mentor mid-level developers while leveraging AI tools such as Copilot and Codex to improve quality and speed.

Qualifications

• Bachelor’s degree in a related field or equivalent experience.
• Extensive experience with Spring Framework and RESTful APIs.
• Experience with CI/CD tools and container orchestration.

Responsibilities

• Lead integration of functions to deploy new products and improvements.
• Resolve high-impact problems by evaluating complex processes.
• Provide expertise in applications programming and architecture adherence.
• Develop standards for coding, testing, debugging, and implementation.
• Guide mid-level developers and analysts and allocate work.
• Use AI-powered tools to pre-scan code for issues and optimize performance.
• Develop, integrate, and deploy AI Agents to enhance intelligence.
• Apply Prompt Engineering to optimize interactions with AI systems.

Skills

Spring Framework

RESTful APIs

Microservices

CI/CD

Git

XML/JSON

AI development tools

Angular

Education

Bachelor’s degree

Tools

Jenkins

GitLab CI

GitHub Actions

Docker

Kubernetes

Maven/Gradle

Google ADK

Devin

GitHub Copilot

Claude

Codex

Anti Gravity

Job description

Citi in Mississauga is seeking an Applications Development Technology Lead Analyst to design, develop, and deploy high-performance Java/Spring Boot applications using MongoDB for persistence. The role blends backend development with emerging AI technologies to drive innovative software solutions.

The ideal candidate will lead application analysis, programming activities, and mentor mid-level developers while leveraging AI tools such as Copilot and Codex to improve quality and speed.