Software Developer Salary in Canada during 2024
💰 The median Software Developer Salary in Canada during 2024 is USD 115,400
✏️ This salary info is based on 40 individual salaries reported during 2024
Salary details
The average Software Developer salary lies between USD 90,000 and USD 144,900 in Canada. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.
- Job title
- Software Developer
- Experience
- all levels
- Region
- Canada
- Salary year
- 2024
- Sample size
- 40
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Top 20 Job Tags for Software Developer roles
The three most common job tag items assiciated with Software Developer job listings are Python, Engineering and Machine Learning. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:
Python | 735 jobs Engineering | 576 jobs Machine Learning | 548 jobs Computer Science | 501 jobs Java | 405 jobs Architecture | 397 jobs Security | 345 jobs Agile | 340 jobs Testing | 331 jobs SQL | 283 jobs Docker | 268 jobs AWS | 266 jobs APIs | 265 jobs Research | 250 jobs JavaScript | 244 jobs Kubernetes | 230 jobs Git | 220 jobs Azure | 207 jobs Linux | 200 jobs DevOps | 187 jobsTop 20 Job Perks/Benefits for Software Developer roles
The three most common job benefits and perks assiciated with Software Developer job listings are Career development, Flex hours and Health care. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:
Career development | 654 jobs Flex hours | 309 jobs Health care | 289 jobs Competitive pay | 208 jobs Insurance | 199 jobs Equity / stock options | 180 jobs Startup environment | 173 jobs Flex vacation | 137 jobs Salary bonus | 115 jobs Medical leave | 108 jobs Team events | 102 jobs Parental leave | 90 jobs 401(k) matching | 76 jobs Flexible spending account | 58 jobs Wellness | 53 jobs Relocation support | 44 jobs Transparency | 23 jobs Conferences | 17 jobs Unlimited paid time off | 16 jobs Fitness / gym | 14 jobsSalary Composition
In Canada, the salary composition for AI/ML/Data Science roles can vary significantly based on region, industry, and company size. Typically, the salary is divided into three main components: base salary, bonuses, and additional remuneration such as stock options or benefits.
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Base Salary: This is the fixed annual amount and usually constitutes the largest portion of the total compensation package. In major tech hubs like Toronto or Vancouver, the base salary might be higher due to the cost of living and demand for tech talent.
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Bonuses: These are performance-based and can vary widely. In larger tech companies or financial institutions, bonuses can be a significant part of the compensation, sometimes ranging from 10% to 20% of the base salary.
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Additional Remuneration: This includes stock options, profit-sharing, and other benefits like health insurance, retirement plans, and paid time off. Startups might offer more equity as part of the package, while established companies might provide more comprehensive benefits.
Increasing Salary
To increase your salary from a median of USD 110,000, consider the following strategies:
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Skill Enhancement: Continuously update your skills in emerging AI/ML technologies and tools. Specializing in niche areas like deep learning, natural language processing, or computer vision can make you more valuable.
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Advanced Education: Pursuing a master's or Ph.D. in a related field can open doors to higher-paying roles, especially in research-intensive positions.
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Networking: Engage with professional communities, attend conferences, and participate in workshops to expand your network. This can lead to opportunities in higher-paying companies or roles.
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Leadership Roles: Aim for positions that involve team leadership or project management, as these often come with higher compensation.
Educational Requirements
Most AI/ML/Data Science roles require at least a bachelor's degree in computer science, engineering, mathematics, or a related field. However, many employers prefer candidates with a master's degree or higher, especially for more advanced positions. A strong foundation in statistics, mathematics, and programming is essential.
Helpful Certifications
While not always mandatory, certain certifications can enhance your profile and demonstrate your expertise:
- Certified Machine Learning Professional (CMLP)
- TensorFlow Developer Certificate
- AWS Certified Machine Learning – Specialty
- Microsoft Certified: Azure AI Engineer Associate
These certifications can validate your skills and make you stand out in a competitive job market.
Required Experience
Typically, employers look for candidates with 2-5 years of experience in software development, data analysis, or a related field. Experience with machine learning frameworks (like TensorFlow or PyTorch), data manipulation tools (such as Pandas or SQL), and cloud platforms (AWS, Azure, Google Cloud) is often required. Experience in deploying machine learning models in production environments is highly valued.
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