Posted 16 days ago
Java Technical Lead (AI)
@ CGI
Toronto, Ontario
Overview
CGI is hiring a Java Technical Lead (AI) to lead the design and development of cloud native Java microservices that form the core application capability of a program. The work is hands-on, covering event-driven design, integration patterns, code quality and mentoring, inside an AI-first software engineering organization. The posting requires practical experience using AI to improve productivity, quality and delivery.
Responsibilities:
- Design and develop cloud native Java microservices
- Lead event-driven design and integration patterns
- Ensure code quality through hands-on engineering
- Mentor team members within an AI-enabled delivery model
Requirements summary:
- Hands-on experience with Java microservices
- Practical experience using AI to improve software delivery
- Experience with modern AI-assisted development practices
Tools & skills
Source and dates
Source type not verified · njoyn
- Employer posting date
- 2026-10-21
- First seen by our source
- 2026-10-17
- Source record updated
- 2026-10-24
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Lead |
| Department | Software development |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
CGI
| Field | Value |
|---|---|
| Company size | 10001+ |
| Headquarters | E-Commerce Place |
| Open jobs on Jobsy | 514 |
This role is a hands on technical leader responsible for Java microservices, event driven design, integration patterns, code quality, and team mentoring within an AI enabled delivery model.
This role is part of an AI first software engineering organization where Artificial Intelligence is integrated throughout the software development lifecycle. Candidates must demonstrate practical experience leveraging AI to improve productivity, quality, and delivery outcomes using modern AI assisted development practices.
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