Senior Software Engineer
- Employment type
- Full-time · On-site
- Posted
- November 10, 2026
- NOC code
- 21231 — Software engineers and designers
- Province
- Ontario (ON)More in Ontario
Hiring confidence: Sparse posting · 11/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Ontario. The Canadian NOC code for this position is 21231 — Software engineers and designers. Odaia Intelligence Inc. is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Software Engineer in Ontario
Median $106,250 per year, with most postings between $74,450 and $127,133 (Software engineers and designers, 2026-08, 52 postings). This posting does not state a salary.
NOC code
21231 — Software engineers and designers. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
A degree in computer science, software engineering or a related field, or equivalent experience, plus demonstrated work in one or more production languages and frameworks.
Licensing: No licence is needed to write software, but the title "engineer" is protected by the provincial engineering regulators; some employers post the same role as "software developer" for that reason.
Fit check
Is this role right for you?
Top skills this posting asks for:
- Software Engineering
- AI/Machine Learning
- Data Processing
Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.
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What you'll do
- Develop and maintain AI-powered commercial intelligence platform
- Transform complex data into actionable insights
- Build systems that unify data across life sciences
- Support commercial teams in deepening provider and patient engagement
What you'll need
- Senior-level software engineering experience
- Experience with AI-powered platforms
- Background in data transformation and analytics
- Life sciences domain knowledge preferred