mississauga, on senior javascript full stack developer Jobs – 119 Openings This Week

AI Engineering Manager Platform and AI Native Systems (1852)
Direct IT Recruiting Inc. —Mississauga, ON
- $130,000–$150,000 a year
- Full-time
- Hybrid work
- Computer Science
- Engineering
- System design
- Dental care
- Paid time off
Quick apply
Senior Java Full Stack Developer – Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Oracle
- Java
- Databases
Senior Software Engineer | Remote | AI SaaS Software Role
Process Street —Toronto, ON
- Full-time
- Remote
- Java
- AWS
- JavaScript
- Dental care
- Paid time off
Quick apply
Principal Software Engineer - Platform, Identity and BI
Calabrio —Toronto, ON
- On call
- Remote
- DevOps
- Java
- SQL
- Designated paid holidays
- Disability insurance
Quick apply
Application Security Consultant - SCA - Global Security
Royal Bank of Canada —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Management
- DevOps
11d
Senior Java Engineer – Agentic AI Driven Development - Senior Vice President
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Oracle
- Computer Science
- DevOps
1h
Senior Lead Software Engineer – Regulatory Reporting & Big Data
Citi —Mississauga, ON
- $120,800–$170,800 a year
- Full-time
- Hybrid work
- Management
- Computer Science
- Engineering
2h

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AI Engineering Manager Platform and AI Native Systems (1852)

Direct IT Recruiting Inc.
Mississauga, ON

Quick apply

Job details

Permanent | Full-time
$130,000–$150,000 a year

Qualifications

Jira
CI/CD
Computer Science
React
Engineering
System architecture
System design
Microsoft SQL Server
Git
SQL
AWS
Bachelor's
Confluence
Cloud development
JavaScript
PostgreSQL
Angular
Scrum
APIs
Agile
SaaS
AI
Leadership
Communication skills

Full job description

NOTE Hybrid 1 day/ week in Mississauga office

Type Full time permanent

Work Experience: 7 plus years software engineering, platform focused with AI exposure

Industry SaaS, Heavy Equipment Rental and Service Technology

DESCRIPTION

We are seeking an AI Engineering Manager to lead a small team of senior engineers responsible for platform engineering while helping the organization evolve toward an AI native development model.

This role is hands on and execution focused. While AI adoption is a growing priority, the role today is primarily platform driven, with responsibility shifting rapidly toward AI enabled workflows, tooling, and engineering practices.

The successful candidate will balance people leadership, architectural decision making, and direct technical contribution while partnering closely with product and engineering leadership.

Key Responsibilities

Lead, mentor, and develop a team of senior full stack engineers, fostering accountability, ownership, and outcome driven delivery

Establish and reinforce an AI native engineering culture, integrating AI tools into development, testing, and documentation workflows in a responsible and effective manner

Drive platform engineering initiatives supporting secure, scalable, cloud native SaaS applications

Remain hands on with system design, architecture reviews, and critical implementation work

Improve developer experience by automating repetitive tasks and reducing operational toil through tooling and platform enhancements

Apply modern architecture principles including API first design, event driven systems, and domain driven design

Partner with Product, Architecture, and other Engineering leaders to identify AI driven platform improvements and future revenue opportunities

Guide modernization of legacy systems and support cloud migration initiatives

Define, track, and improve engineering performance metrics including reliability, performance, scalability, cycle time, and delivery throughput

Provide regular status updates, risk assessment, and delivery forecasts to leadership

Support secure development practices and ensure alignment with organizational standards and compliance requirements

REQUIREMENTS

Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience

Seven plus years of experience in software engineering with at least two years in an engineering leadership role

Strong hands on background in platform engineering and building cloud native SaaS applications

Experience integrating AI tools into engineering workflows such as code generation, testing, documentation, or analysis

Familiarity with agent assisted or agentic engineering concepts

Experience working with AWS services such as Lambda, Fargate, and other managed cloud platforms

Strong experience with SQL based systems such as SQL Server or PostgreSQL and data pipelines

Experience with JavaScript based frontend frameworks such as React or Angular

Proven ability to modernize legacy systems and evolve architecture incrementally

Strong understanding of modern development practices including CI CD, Agile Scrum, and cross functional collaboration

Proficiency with tools such as Jira, Git, and Confluence

Strong architectural thinking, system design skills, and technical judgment

Excellent communication and leadership skills with the ability to work effectively across distributed teams

Ability to manage multiple priorities, operate in ambiguity, and deliver measurable outcomes

As part of the hiring process, AI based systems may be used to support initial applicant screening.

To apply: https://directitrecruiting.com/job/ai-engineering-manager-platform-and-ai-native-systems/

Job Types: Full-time, Permanent

Pay: $130,000.00-$150,000.00 per year

Benefits:

Dental care
Extended health care
Life insurance
On-site parking
Paid time off
RRSP match

Ability to commute/relocate:

Mississauga, ON L5N 7Y5: reliably commute or plan to relocate before starting work (preferred)

Application question(s):

What is your expected yearly salary? (There is a 10% bonus).

Experience:

engineering manager: 5 years (preferred)
cloud native development using AWS: 2 years (preferred)
platform engineering for SaaS applications: 5 years (preferred)
managing software engineering teams: 1 year (preferred)
AI tools such as Copilot or Claude in engineering workflows: 2 years (preferred)
designing system architecture for scalable platforms: 3 years (preferred)

Work Location: Hybrid remote in Mississauga, ON L5N 7Y5

Quick apply

Refine Your Search

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