Entry level software developer Jobs

New Grad Software Engineer
Magical —Toronto, ON
- Full-time
- Hybrid work
- Computer Science
- Engineering
- APIs
Software Developer
Autodesk —Toronto, ON
- $72,000–$105,600 a year
- Full-time
- Computer Science
- Engineering
- Java
Software Engineer - New Grad 2026
Cerebras Systems —Toronto, ON
- Full-time
- Hybrid work
- Computer Science
- C++
- Linux
10d
Junior Software Developer (9-Month Contract)
Kai Cao Inc —Oakville, ON
- $25 an hour
- Full-time
- Computer Science
- Engineering
- Analysis skills
- Flexible schedule
Quick apply
11d
WEB APPLICATION DEVELOPER
LedgerDocs —North Vancouver, BC
- Full-time
- Computer Science
- Engineering
- Bachelor's
Wavelogic Software Development - New Grad
Ciena —Ottawa, ON
- $68,800–$109,800 a year
- Full-time
- Computer Science
- Engineering
- C++
- Employee stock purchase plan
- Dental care
12d
Junior Software Engineer, AI Agent Platform
Motorola Solutions —Ontario
- Full-time
- Remote
- Azure
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- Bachelor's
Application Developer
Primoris Management LP (Canada) —Edmonton, AB
- Full-time
- Software development
Quick apply
5d
DevOps Engineer - New Grad 2026
Cerebras Systems —Toronto, ON
- Full-time
- Hybrid work
- Computer Science
- DevOps
- Engineering
10d
Applied AI Backend Engineer
Trend Micro —Ottawa, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Wellness program
- Disability insurance
Investment Systems Developer, Fundamental Equity
Connor, Clark & Lunn Investment Management —Vancouver, BC
- $100,000–$200,000 a year
- Hybrid work
- Master's degree
- Bachelor's
- AI
Quick apply
4d
Software Engineer, Layer1
Arista Networks —Vancouver, BC
- $95,000–$145,000 a year
- Full-time
- Computer science
- Doctoral degree
- Computer Science
- Dental care
- Vision care
Quick apply
Intern, Aircraft Systems Research & Technology - Software Engineering (Fall 2026)
Bombardier —Dorval, QC
- Bilingual
- DevOps
- Microsoft Office
10h
Quantitative Equity Developer
Connor, Clark & Lunn Investment Management —Vancouver, BC
- $125,000–$200,000 a year
- Full-time
- Java
- Master's degree
- Bachelor's
Digital Backend Physical Design Engineer
Hashhub Inc. —Toronto, ON
- $70,000–$130,000 a year
- Full-time
- Bachelor's
- Scripting
- Linux
- Designated paid holidays
Quick apply
Azure Data Engineer
Tri-global Solutions Group Inc. —Remote
- Up to $70 an hour
- Contract
- Azure
- Computer Science
- SQL
Engineering Software Application Analyst
Maya HTT —Montréal, QC
- Hybrid work
- Bilingual
- Doctoral degree
- CAD
- Disability insurance
- Dental care
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Virtual WordPress Web Developer Internship
GAO Research —Remote
- Remote
- Master's degree
- JavaScript
- Business
Embedded Software Engineer
Lumentum —Ottawa, ON
- $110,625–$149,675 a year
- Full-time
- Computer Science
- Engineering
- C++
- Tuition reimbursement
- Paid time off
Infrastructure Software Engineer
Connor, Clark & Lunn Investment Management —Vancouver, BC
- $125,000–$200,000 a year
- Full-time
- DevOps
- Windows
- Java

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New Grad Software Engineer

Magical
Toronto, ON

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Job details

Full-time

Qualifications

Node.js
Computer Science
React
Engineering
Mathematics
APIs
TypeScript
Python

Full job description

Magical is building agentic AI for healthcare operations.

This is not AI for demos.

Our agents have helped suicidal veterans get matched to care faster, identified patients who may have undiagnosed cancer, scheduled patients who otherwise would have waited, and helped providers get paid for the care they deliver. Plainly stated, we impact people's lives.

The work is technical, messy, and complex. The impact is real.

Our agents operate across real healthcare environments: portals, documents, browser workflows, queues, model calls, human review, edge cases, and exceptions. We are not building toy workflows. We are building systems that need to work reliably in production.

Magical is backed by Greylock, Coatue, and Lightspeed, with $41M raised. Our executives have sold businesses to LinkedIn, and have previously sold billions of dollars. .

Why Join as a New Grad

We are hiring up to 5 New Grad Software Engineers to join our Toronto engineering team.

This is not a traditional new grad role where you spend a year waiting for real ownership.

You will work on real systems, real customers, and real healthcare workflows from the start. You will be expected to learn quickly, ask sharp questions, take ownership, and make progress through ambiguity.

You will also not be thrown into the deep end without support. Magical has exceptional senior technical leadership, experienced engineers, and strong mentorship in place. You will get training, feedback, and direct exposure to people who have built and scaled serious products before.

We are looking for new grads who want a steep learning curve, meaningful responsibility, and the chance to build AI systems that are already being used in production.

This is a hybrid role based in our Toronto office.

About the Role

As a New Grad Software Engineer, you will help build the systems that power Magical’s AI agents.

Under the hood, Magical orchestrates long-running, high-stakes healthcare workflows involving queues, run state, browser automation, model calls, evaluations, observability, and human-in-the-loop recovery.

These systems need to be reliable, debuggable, and resilient because they operate in messy real-world environments. A workflow might depend on a payer portal changing, a document being malformed, a model output needing review, a human needing to step in, or an edge case no one has seen before.

You will help turn messy customer inputs — SOPs, decision trees, payer rules, portal behavior, operational know-how, and edge cases — into reliable automations. You may work on systems that draft workflows, test automations, catch failures, recommend fixes, escalate to humans, improve runtime reliability, or make our agents easier to build and deploy.

The problems will not always be well-defined. That is part of the job.

What You’ll Do

Design and build backend and full-stack systems for AI agents and healthcare automations

Build product and platform features for automation creation, workflow pathways, testing, editing, monitoring, and production reporting

Improve reliability through better run state management, queues, error classification, alerts, dashboards, and observability

Collaborate with product, design, deployment engineering, and customer-facing teams to turn real healthcare workflows into production-grade automation systems

Own projects from implementation through deployment, monitoring, iteration, and customer impact

Learn from senior engineers while taking on meaningful responsibility early

You May Be a Fit If

You are graduating soon or recently graduated with a degree in Computer Science, Engineering, Math, or a related technical field

You have strong software engineering fundamentals and are excited to keep improving them

You have built meaningful projects, internships, research systems, open-source work, startups, or production software

You are comfortable with ambiguity and can make progress even when the answer is not obvious

You are a self-starter who takes ownership instead of waiting to be handed every next step

You move quickly, learn quickly, and care about shipping reliable work

You are excited about AI and already use AI tools to improve how you code, debug, learn, or build

You want to work in person with a high-caliber team in Toronto

Even Better If

You have experience with TypeScript, Node, React, Python, or similar backend/full-stack technologies

You have worked with databases, APIs, queues, async systems, or distributed workflows

You have built side projects, developer tools, automation projects, or AI-powered products

You have experimented with LLMs, agents, browser automation, evaluations, or model-powered workflows

You have worked in a startup, research lab, internship, hackathon team, or environment where you had to figure things out quickly

What You’ll Get

Real ownership from day one

Mentorship from strong senior technical leaders

Training, feedback, and coaching to help you grow quickly

Exposure to production AI systems, real customers, and complex healthcare workflows

A chance to build technology that directly improves healthcare operations and patient access

A high-growth environment where slope matters more than years of experience

Why Magical

Most new grad jobs optimize for safety, structure, and narrow scope.

This is different.

At Magical, you will work on hard technical problems, inside a fast-growing company, in one of the most important industries in the world. You will be surrounded by people who expect a lot, move quickly, and care deeply about building something that works.

We are still early. The problems are hard. The bar is high.

If you are an ambitious new grad who wants to grow fast, take on real ownership, and build AI systems with actual human impact, we would love to meet you.

Apply Now

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