Toronto tech salaries, 2026

Toronto has the deepest pay data in the country, mostly because Ontario has required pay ranges in job postings since January 1, 2026.

Salary ranges in Toronto

A senior software engineer in Toronto has a posted range of $139K to $185K, median $166K in base salary in 2026, from public pay-transparency postings.

Posted ranges, Toronto. Base salary in CAD, from public job postings.

Role	Junior (0 to 1 years)	Intermediate (2 to 4 years)	Senior (5 to 7 years)	Staff / Lead (8+ years)
Software Engineer	Not enough posted ranges yet (n=7)	$106K to $154K, median $119K, n=51	$139K to $185K, median $166K, n=92	$163K to $232K, median $196K, n=65
DevOps / SRE / Platform Engineer	Not enough posted ranges yet (n=2)	Not enough posted ranges yet (n=6)	$117K to $170K, median $138K, n=14	$154K to $169K, median $165K, n=10
AI / ML Engineer	Not enough posted ranges yet (n=0)	$138K to $191K, median $172K. Higher than the level above. Small sample, n=18 from 10 employers.	$128K to $188K, median $155K, n=20	$158K to $202K, median $179K, n=18
Cybersecurity Engineer	Not enough posted ranges yet (n=1)	$114K to $155K, median $140K, n=13	$128K to $186K, median $145K, n=12	$139K to $181K, median $153K, n=10
Engineering Manager	Not enough posted ranges yet (n=0)	$162K to $216K, median $194K, n=29	Not enough posted ranges yet (n=6)	$163K to $211K, median $183K, n=12
Product Manager	Not enough posted ranges yet (n=4)	$124K to $146K, median $130K, n=14	$123K to $158K, median $149K, n=25	$164K to $206K, median $192K, n=23

Low to high is the middle half of employers' posted midpoints (25th to 75th percentile). n is the number of postings. A cell needs 10 or more postings from 5 or more employers. Data as of October 29, 2026.

Cite: Phil Mosher, Canadian tech salary data, baselinetalent.xyz, data as of October 29, 2026. CC BY 4.0.

No posted ranges yet for Data Engineer, Tech Lead, Product Designer, UX Designer / Researcher.

Where the government figure disagrees

• Senior and staff or lead posted medians sit 40% to 86% above the government survey figure (Software Engineer, DevOps / SRE / Platform Engineer, AI / ML Engineer, Cybersecurity Engineer, Engineering Manager). That's expected, because the survey covers every experience level.
• The government figures cover every employer, including in-house IT at non-tech firms, and lag: AI / ML Engineer, intermediate, 78% above. Cybersecurity Engineer, intermediate, 42% above.
• Many of these postings come from foreign-headquartered multinationals, which pay above local medians: Engineering Manager, intermediate, 48% above (41% of postings).

Check your role and level in the salary calculator.

Government survey figures for Toronto

For software work in Toronto, the government figures are: Job Bank median $117K, StatCan average offered wage $118K (Table 14-10-0444-01) for software engineers and designers (NOC 21231). Job Bank median $100K, StatCan average offered wage $92K (Table 14-10-0444-01) for software developers and programmers (NOC 21232). All levels, survey data, not job postings. They're a check on the posted ranges, never part of them.

Government survey, Toronto. All levels, survey data, not job postings.

Occupation	Job Bank median	StatCan average offered wage
Computer and information systems managers (NOC 20012)	$141K	$130K
Data scientists (NOC 21211)	$96K	$103K
Cybersecurity specialists (NOC 21220)	$100K	$99K
Software engineers and designers (NOC 21231)	$117K	$118K
Software developers and programmers (NOC 21232)	$100K	$92K
Information systems testing technicians (NOC 22222)	$77K	$80K
Graphic designers and illustrators (NOC 52120)	$70K	$77K

Job Bank (ESDC) median wages by occupation and economic region, reference period 2023-2024, times 2,080 hours. Statistics Canada Table 14-10-0444-01, average offered hourly wage on job vacancies, 2025-07 to 2026-04 (4 quarters), times 2,080 hours. Both cover every experience level and every employer. They are not job postings and are never mixed with the posted ranges.

Cite: Phil Mosher, Canadian tech salary data, baselinetalent.xyz, data as of October 29, 2026. CC BY 4.0.

The market

Toronto is still the biggest tech market in Canada. Most of the senior people I talk to here aren't looking, but they'll take a call.

• CBRE ranks Toronto #3 of the 50 largest North American tech-talent markets in 2026. It added about 75,000 tech jobs from 2022 to 2025 (~27% growth).
• 24.7% of Toronto workers mostly worked from home in May 2024 (Ottawa 34.2%, Winnipeg 15.1%).
• Ontario has required a pay range of at most $50,000 in publicly advertised postings since 2026-01-01 (employers with 25+ staff). Postings whose range tops out above $200,000 are exempt.

Cost of living

Rent is the big one in Toronto. Average 2-bedroom rent in purpose-built rentals was $2,046 in October 2025 (vacancy 3.0%). Average asking rent across all listings was $2,554 in September 2026, down 1.4% year over year.

What it costs to hire a senior software engineer in Toronto

Hiring a senior software engineer in Toronto costs an employer $174,119 to $177,352 a year once CPP, EI, payroll tax and benefits sit on top of the posted median base.

What a senior software engineer costs the employer, per year

Line	Amount
Base salary (posted median, senior software engineer)	$165,800
CPP (5.95% on $3,500-$74,600)	$4,230
CPP2 (4% on $74,600-$85,000)	$416
EI employer (2.282% up to $68,900)	$1,572
Small employer: Ontario EHT (first $1M of payroll exempt)	$0
Large employer: Ontario EHT 1.95%	$3,233
Group health, dental and life benefits (assumption: $175 per employee per month)	$2,100
Total, small employer	$174,119
Total, large employer	$177,352

Leaves out bonus, equity, RRSP/pension matching, workers' compensation premiums, vacation pay (inside base), recruiting fees, equipment and office. Benefits are an assumption, not a published figure.

"Small employer" means your payroll is under Ontario's Employer Health Tax exemption. "Large" means you're past it.

How this was built

Every number here comes from public data, with a minimum of 10 postings from 5 employers per cell.

How every number here is built, tested and checked against government data: how the salary data is built.