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Entry Level Full Stack Developer Jobs in Brampton, ON

Pacer Group

Java angular full stack lead

Toronto, ON · Hybrid

Java angular full stack Lead Location: Toronto, ON Work Arrangement: Hybrid (3 days WFO) Employment Type: Contract Duration: 06-12 Months Domain: BFSI Pay Rate: CAD 54-56/hour Incorporated ...

Engine Digital

Contractor

Toronto, ON · On-site

Full-Stack Engineers * Shopify Developers * iOS Developers Get In Touch To join our contractor list, please fill out our online form. No recruiters, agencies, or phone calls please.

Geotab

Software Developer

Oakville, ON · On-site

As a Software Developer your key area of responsibility will be driving full-stack development with a strong focus on frontend features, specifically managing video frontend development and ...

Bayview Asset Management

Application Developer

Toronto, ON · On-site

CA$110K - CA$150K/yr

POSITION SUMMARY Bayview is seeking a Application Developer to develop applications that integrate ... This is a full-stack role involving backend service development, frontend interface design, and the ...

Fintros

React Developer

Toronto, ON

Our engineering stack is pretty world-class. We have a well-documented micro-architecture service written in either Python (Flask) or Rails API using GraphQL. Our front-end consumes the GQL endpoints ...

myAbode Inc

Staff AI Engineer

Toronto, ON · On-site

We're building a culture of craft in a small team where your decisions have immediate impact What We're Looking For You're a strong full-stack engineer who's comfortable owning features end-to-end in ...

Fintros

React Developer (Remote)

Toronto, ON · Remote

Our engineering stack is pretty world-class. We have a well-documented micro-architecture service written in either Python (Flask) or Rails API using GraphQL. Our front-end consumes the GQL endpoints ...

ScriptRunner

Engineering Team Lead

Toronto, ON · On-site

... Full Stack Developer * Experience collaborating with & coaching more junior engineers * Experience of Agile Methodologies * Knowledge of implementing and/or running CI / CD * Experience working on ...

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Entry Level Full Stack Developer information

See Brampton, ON salary details

$43.1K

$65.1K

$79.9K

How much do entry level full stack developer jobs pay per year?

As of Jun 13, 2026, the average yearly pay for entry level full stack developer in Brampton, ON is $65,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,177.00 and $76,591.00 per year, depending on experience, location, and employer.

What Is the Job of an Entry-Level Full Stack Developer?

A full stack is the front and back end of an application. It is comprised of a computer system, a programming language, database software, and a computer server. As an entry-level full stack developer, your responsibilities consist of developing something on behalf of a client. In an entry-level full stack developer role, you may help build an SQL database, a JavaScript application, or a PHP database on a server. Your qualifications should include a general knowledge of every level of software development as well as one or more common programming languages such as HTML, CSS, Python, and SQL.

What is the difference between Entry Level Full Stack Developer vs Junior Web Developer?

AspectEntry Level Full Stack DeveloperJunior Web Developer
Required SkillsBasic knowledge of front-end and back-end technologies, programming languages like JavaScript, HTML, CSS, and some backend frameworksFundamental web development skills, mainly front-end or back-end, with limited full-stack experience
Work EnvironmentCollaborates on full project cycles, working on both client and server-side codeFocuses on specific parts of web development, often under supervision
Common UsageUsed in companies seeking versatile developers capable of handling full-stack tasksOften entry-level roles focusing on specific web development tasks

In summary, Entry Level Full Stack Developers have a broader skill set covering both front-end and back-end development, while Junior Web Developers typically specialize in one area with limited full-stack responsibilities. The choice depends on your desired focus and career path in web development.

What are the key skills and qualifications needed to thrive as an Entry Level Full Stack Developer, and why are they important?

To thrive as an Entry Level Full Stack Developer, you need proficiency in both front-end (HTML, CSS, JavaScript) and back-end (e.g., Node.js, Python, or Java) technologies, supported by a relevant degree or coding bootcamp experience. Familiarity with databases (SQL/NoSQL), version control systems like Git, and frameworks such as React or Express is typically required. Strong problem-solving skills, attention to detail, and effective communication help you work collaboratively and adapt to changing project requirements. These skills and tools are vital for building, maintaining, and improving dynamic web applications in fast-paced development environments.

What are some common challenges Entry Level Full Stack Developers face when transitioning from academic projects to real-world applications?

Entry Level Full Stack Developers often find that real-world projects are more complex and less structured than academic assignments. They may encounter challenges such as working with legacy code, collaborating across multidisciplinary teams, and managing competing priorities within agile development cycles. Additionally, adapting to company-specific workflows, version control practices, and deployment processes can be initially overwhelming. However, these experiences provide valuable learning opportunities and quickly build practical, in-demand skills.

What is an Entry Level Full Stack Developer?

An Entry Level Full Stack Developer is a professional who is new to the software development field and works on both the front-end (client side) and back-end (server side) of web applications. They are familiar with various programming languages, frameworks, and tools needed to build and maintain entire web projects. While they may have limited experience, they are capable of handling tasks such as developing user interfaces, creating APIs, managing databases, and deploying applications under the guidance of more experienced developers. Entry level full stack developers often work as part of a team and receive mentorship to help them grow their skills.
More about Entry Level Full Stack Developer jobs
What are the most commonly searched types of Full Stack Developer jobs in Brampton, ON? The most popular types of Full Stack Developer jobs in Brampton, ON are:
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Entry Level Full Stack Developer jobs near you

Intermediate Full Stack Software Engineer

AltaML

Toronto, ON

Full-time

PTO

Posted 24 days ago

Job description

About Us:
AltaML is a leading North American applied AI company with extensive experience in building and operationalizing AI software solutions.

We are a company like no other - we believe in making small bets, failing fast, and being better together. We are looking for creative problem-solvers who obsess about the customer to find wins across different industries.

We don't hire for fit; we hire to add. We are looking for people who play our core values of being: Agile, Gritty Humble, and Happy. If you're passionate about AI/ML, thrive in a dynamic environment, and want to work with a diverse team of wickedly smart people, we want to hear from you!

We are looking for a Full Stack Software Engineer who builds software in an AI-native way - someone who treats Claude and the latest agentic coding tools as a core part of their craft, not a novelty. In this role, you will contribute to the technical delivery of ML-powered applications across cloud services, APIs, and modern front-end frameworks, with Claude Code, the Claude API, and agentic workflows woven into how you design, build, and ship.

You will be an active contributor within your project pod, shipping features end-to-end, participating in technical design discussions, and growing your ability to translate business requirements into well-engineered solutions. You will take ownership of your work - writing clean, reviewable code, contributing to shared internal frameworks, and continuously developing your fluency with AI-assisted development.

You will thrive in this role if you are a builder who leans on Claude Code to move fast without cutting corners. You write clear specs, review AI-generated code critically, and know when to delegate to an agent versus when to handcraft. You are curious about where LLMs fit (and where they don't), and you bring a practical, evidence-based instinct to that question.

What You'll Do:

Full Stack Feature Delivery

  • Implement features end-to-end across front-end, back-end, and cloud infrastructure layers, taking ownership from design through deployment

  • Build and integrate RESTful APIs and cloud-hosted services, primarily on Azure, following established architecture patterns and security standards

  • Develop front-end components using modern JavaScript/TypeScript frameworks, with attention to usability, performance, and maintainability

  • Write unit, integration, and API tests as a standard part of delivery - not an afterthought - using frameworks appropriate to the stack (xUnit, Pytest, Postman, or similar)

  • Use Docker for local development, environment parity, and containerized deployments

  • Manage work in Git with clean branching, meaningful commit history, and effective collaboration with AI agents in the same workflow

LLM Feature Development

  • Build features that incorporate LLM calls via the Claude API or Azure OpenAI, including prompt design, context management, response handling, and cost-aware API usage

  • Implement RAG components and tool integrations as part of product features, working within established architecture patterns and contributing to their evolution

  • Write evaluation harnesses for LLM-powered features: regression tests for prompt behaviour, output quality checks, and agent tool use validation

  • Document LLM feature behaviour clearly: what the system does, what it does not do, known failure modes, and the guardrails in place

  • Develop growing awareness of when LLM-in-the-loop is the right architecture decision versus a conventional software approach - and contribute that perspective in design discussions

Technical Design & Problem-Solving

  • Participate actively in epic-level and feature-level design discussions, contributing well-reasoned proposals backed by research or prototype evidence

  • Use Claude to accelerate technical research: explore design alternatives, evaluate libraries, and investigate unfamiliar domains quickly - then synthesize findings into a clear recommendation

  • Identify and flag technical risks within your work scope early, with enough supporting detail for the tech lead or architect to make an informed decision

  • Produce clear technical documentation: decision records, implementation notes, and design summaries that a future team member can act on

AI-Native Development

  • Use Claude Code and AI-assisted development tools (Cursor, GitHub Copilot, and similar) as a standard part of the engineering workflow - for prototyping, code generation, refactoring, documentation, and debugging

  • Write clear, well-structured prompts and development specs that enable AI agents to produce useful, reviewable output - not vague instructions that generate noise

  • Review AI-generated code with the same rigour as human-authored code: check for correctness, edge cases, security issues, and maintainability before merging

  • Develop growing fluency in agentic development patterns: structuring repos for agent navigation, decomposing tasks into agent-friendly units, and knowing when human authorship is the right call

  • Contribute to internal discussions on AI tooling effectiveness - share what is working, what isn't, and help refine the team's approach

Collaboration & Growth

  • Participate in code reviews constructively - give specific, actionable feedback and incorporate peer feedback into your own work without defensiveness

  • Collaborate closely with ML engineers, data engineers, and product managers within the pod, understanding adjacent work well enough to minimize integration friction

  • Contribute reusable components, utilities, and internal skills to AltaML's shared libraries

  • Engage in sprint ceremonies, stand-ups, and retrospectives as an active team member - raise blockers early, communicate progress clearly, and contribute to continuous improvement

  • Proactively seek feedback from peers and tech leads to accelerate your own growth toward senior-level ownership and technical leadership

What You Bring:

  • Degree or equivalent work experience in Computer Science, Software Engineering, or a related technical discipline

  • 3-5 years of professional full stack development experience, with a track record of shipping production features end-to-end

  • Hands-on, daily-driver experience using Claude (Claude Code, claude.ai, or the Claude API), Cursor, or GitHub Copilot for real software engineering work - not just occasional use

  • Strong working experience with cloud services, ideally Azure (Functions, App Service, Blob Storage, Azure OpenAI, or similar)

  • Proficiency in a modern object-oriented language - C#, Python, TypeScript, or equivalent - with a clear point of view on writing clean, maintainable code

  • Experience building and consuming RESTful APIs and integrating third-party services

  • Solid front-end experience with a modern JavaScript/TypeScript framework (React, Vue, Angular, or similar)

  • Experience writing unit and API tests as a standard part of delivery (xUnit, Pytest, Postman, or similar)

  • Comfortable with Docker for local development and containerized deployments

  • Proficiency with Git, including working effectively in a branch-based workflow alongside AI agents

  • Experience working in an Agile environment with iterative delivery cycles

  • Strong written and verbal communication skills - able to articulate technical decisions clearly to peers and participate confidently in client-facing discussions

  •  
Nice to Have's:

  • Experience integrating LLM APIs (Claude, OpenAI, Azure OpenAI) into product features, including prompt design and cost management

  • Exposure to RAG architectures, vector databases, or tool-augmented LLM workflows

  • Familiarity with agentic frameworks (LangChain, LangGraph, Autogen, or similar)

  • Experience writing evaluation harnesses or regression tests for LLM-powered features

  • Exposure to CI/CD pipelines and automated deployment workflows (Azure DevOps, GitHub Actions, or similar)

  • Prior experience in a consulting, applied AI, or client-delivery environment

  • Contributions to open-source projects or internal platforms

$90,000 - $110,000 a year
Responsible AI (RAI)
AltaML employees, contractors, and associates must be trained and well-versed in the importance of Responsible AI and empowered to enact RAI principles by developing and deploying AI solutions. They should also be empowered to raise and escalate RAI concerns as required.

AltaML is responsible for elevating public discourse and awareness of AI through open, transparent communications with the broader public.

Equal Opportunities
AltaML is dedicated to fostering a safe, diverse, and inclusive workplace as an equal-opportunity employer. We welcome applications from qualified individuals of all backgrounds, encompassing ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, nationality, and educational backgrounds. If you are invited for an interview and require accommodations during the interview process, please don't hesitate to let us know.

AltaML acknowledges that its head office is located on Treaty 6 territory, and respects the histories, languages, and cultures of First Nations, Metis, Inuit, and all First Peoples of Canada, whose presence continues to enrich our vibrant community.

We Look for A-Players Who:
- Express our core values
- Are hungry for knowledge
- Want to learn new skills
- Are respectful
- Collaborate with others across the whole company
- Share knowledge with coworkers
- Educate and promote AI and ML concepts both internally and externally
- Have a high work ethic and are self-motivated


Our Perks:
Uncapped Vacation - For all full time, permanent employees. Seriously, take the time you need - when you need it.
Make an Impact - Witness the impact your work contribution has on the success of our company.
Working with PhD and Master Level Colleagues - Endless conversations around the latest in Machine Learning and Applied AI.
Competitive Benefits - For all full time, permanent employees.
Office as a Resource -  Hybrid work environment with state-of-the-art office spaces that ignite collaboration.
Big Slack Energy - IYKYK.


Our Culture:
You will be working in a high-paced environment focused on creating unique ML solutions to problems across multiple industries to generate impactful value. You will be working at a company with employees who have multiple years of industrial and academic experience in data science, software engineering, product development, and machine learning fields.
 
You will be able to experience a collaborative company culture, which means we believe in working hard, getting the job done, and enjoying the group social on Fridays. You'll also get flexibility in where you work, what hours you work, how much vacation you take, and what you wear. We expect hard work but respect work/life balance.


Core Values:
At AltaML, we are driven by our core values. We believe that by embodying these values in everything we do, we will exceed our customer's expectations while creating a positive and empowering work environment for our team members. We are dedicated to living our values and strive to make them the foundation for our success. 

Gritty - We are entrepreneurial, determined, and resilient, pushing through challenges to achieve our goals.

Agile - We make decisions based on "little bets" creating a safe space to take risks. We embrace an interactive process, allowing ideas to fail quickly or be scaled iteratively. Together, we continuously refine and improve our approach to reach the desired outcome. 

Humble - We listen to data, embrace new ideas, admit limitations and take ownership to solve problems. We constantly push ourselves to improve and excel.  

Happy - We ignite passion and purpose by fostering a dynamic work environment. We encourage tap dancing to work, common sense over rules, empowering team members to find joy in their contributions, and being your authentic self.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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