Developer Skills
93
full stack developer remote jobs in markham, on
Zonda Home —Toronto, ON
- $70,000–$88,000 a year
- Full-time
- Remote
- Azure
- DevOps
- AWS
- Wellness program
- Designated paid holidays
Quick apply
Blumind —Markham, ON
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Engineering
Quick apply
Aetonix —Toronto, ON
- Full-time
- AWS
- AI
- Leadership
- Dental care
- Vision care
Quick apply
iManage —Toronto, ON
- Full-time
- Hybrid work
- Azure
- DevOps
- Engineering
- Dental care
- Paid time off
Quick apply
Questrade Financial Group —Toronto, ON
- $200,000–$230,000 a year
- Full-time
- Remote
- Azure
- SQL
- APIs
Quick apply
iManage —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Engineering
- Java
- Dental care
- Paid time off
Quick apply
Wirehead —Toronto, ON
- Hybrid work
- Sales
- Business development
- In-person
Sequoia Software —Canada
- $70,000–$80,000 a year
- Full-time
- JavaScript
- Software development
- Dental care
- Paid time off
Quick apply
BrightOrder Inc. —Canada
- $115,000–$125,000 a year
- Full-time
- Bilingual
- Computer Science
- Engineering
- Dental care
- Vision care
Quick apply
10d
Lys Intelligence Inc. —Canada
- $57,070.09–$118,520.33 a year
- Full-time
- Remote
- Azure
- SQL
- AWS
- Disability insurance
- Dental care
Quick apply
11d
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Survalent —Mississauga, ON
Work within the Agile development team to design, develop, and deliver various RESTful APIs and web applications. Backend : Proficient in C#, ASP.
$90,000–$120,000 a year
2d
Obsidian Glass Hardware —Mississauga, ON
We need someone who understands Shopify, Shopify POS, custom application development, automation, integrations, inventory systems, and B2B workflows.
$23–$30 an hour
Quick apply
2d
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Check out jobs in cities near your current location, Columbus
Questrade Financial Group —Toronto, ON
Create AI-native development environments — Architect containerized, composable development platforms where AI agents operate the full toolchain (build, test,…
$200,000–$230,000 a year
Quick apply
Blumind —Markham, ON
Hardware-Aware ML: Lead the research and implementation of cutting-edge optimization techniques (e.g., hardware-aware training, aggressive quantization, pruning…
Quick apply
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