Tech Lead - Software Engineering
- Employment type
- Full-time · On-site
- Posted
- September 23, 2026
- Salary range
- $130,000–$170,000 CAD per year
- NOC code
- 21231 — Software engineers and designers
- Province
- Alberta (AB)More in Alberta
Hiring confidence: Some gaps · 40/100
Some signals are missing from this posting. It may well be genuine, but it is worth confirming the role is still open before you invest time in applying. How this is scored
Job Overview
This role is based in Alberta. The Canadian NOC code for this position is 21231 — Software engineers and designers. DataVisor 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 Alberta
Average salary for Software Engineer in Alberta
We do not have a salary benchmark for this title in Alberta yet. The posting advertises $130,000–$170,000.
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
- Machine Learning
- AI/Artificial Intelligence
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
- Lead software engineering team
- Drive technical decisions and system architecture
- Develop AI-powered fraud and risk detection solutions
- Work on unsupervised machine learning technology
- Build scalable SaaS platform features
- Implement real-time fraud detection capabilities
- Oversee data consolidation and enrichment processes
- Guide team on best practices and technical excellence
What you'll need
- Leadership experience managing software engineering teams
- Strong background in software engineering and system design
- Experience with machine learning or AI systems
- Experience with fraud detection or risk platform development
- Proficiency in multiple programming languages
- Knowledge of SaaS platform architecture
- Understanding of AML (Anti-Money Laundering) or fraud detection concepts