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Entry Level Full Stack Web Developer Jobs in Alberta

Actalent

AI Engineer

Calgary, AB · On-site

Compétence en développement full-stack et API, y compris les API RESTful. * Expérience des ... AI Engineer We are seeking a highly skilled AI Engineer to design and build production-grade AI ...

Actalent

Ai Engineer

Calgary, AB

Compétence en développement full-stack et API, y compris les API RESTful. * Expérience des ... AI Engineer We are seeking a highly skilled AI Engineer to design and build production-grade AI ...

Emerald Associates Inc.

... Full Cycle Kotlin\/Java\/React Developers in a full\-time capacity to join our team in all of our ... Web services \n * Enterprise integrations \n * Plugins and add\-ons to existing tools \n \n

Ndax Canada Inc.

DevOps Engineer

Calgary, AB · On-site

We're on a mission to empower more Canadians to unlock the full potential of digital finance. To ... EFK stack, and similar tools. Responsibilities: * Implement automation strategies, effective ...

NDAX Canada Inc.

DevOps Engineer

Calgary, AB · On-site

We're on a mission to empower more Canadians to unlock the full potential of digital finance. To ... EFK stack, and similar tools. Responsibilities: * Implement automation strategies, effective ...

West Fraser

Entry Level

Edson, AB · On-site

Work in a variety of areas which may include sorting, stacking, and piling lumber * Handling and ... lumber, engineered wood products (oriented strand board, laminated veneer lumber, medium-density ...

Wyvern

DevOps Specialist

Edmonton, AB · On-site +1

You can set up a web server in Linux, get an SSL certificate from LetsEncrypt, troubleshoot network ... Experience with our stack: Python, Terraform, AWS, Kubernetes * Bonus points for familiarity with ...

Tetra Tech

Field Engineers

Redwater, AB · On-site

FIELD ENGINEERS Experienced or entry level full-time roles in the U.S. in Central Florida and ... stack expansion and closure construction, drain/pipe installation and backfill, soil density ...

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Entry Level Full Stack Web Developer information

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$27K

$82.8K

$153.5K

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

As of Jun 19, 2026, the average yearly pay for entry level full stack web developer in Alberta is $82,789.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $102,000.00 per year, depending on experience, location, and employer.

Is full stack worth it in 2026?

Full stack web development remains a valuable skill for entry-level developers in 2026, as it allows for versatility across front-end and back-end tasks and increases employability. The demand for full stack developers is expected to stay strong due to the continued growth of web applications and the need for versatile technical skills, often requiring knowledge of frameworks, databases, and version control tools.

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

To thrive as an Entry Level Full Stack Web Developer, you need proficiency in front-end (HTML, CSS, JavaScript) and back-end (such as Node.js, Python, or Ruby) programming, along with a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, databases (SQL/NoSQL), and frameworks such as React or Express is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for this role. These abilities enable developers to build robust applications, collaborate on teams, and adapt to evolving project requirements in a dynamic tech environment.

What is an entry level full stack web developer?

An entry level full stack web developer is a professional who builds and maintains both the front-end (client side) and back-end (server side) of websites or web applications, typically at the beginning of their career. They work with a variety of programming languages and frameworks, such as HTML, CSS, JavaScript, and often server-side technologies like Node.js, Python, or PHP. Entry level developers usually have a foundational understanding of databases, APIs, and version control systems, and they collaborate with other team members to deliver functional web solutions. Their role is ideal for those new to the tech industry who want to gain hands-on experience across the entire web development stack.

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

AspectEntry Level Full Stack Web DeveloperFront End Developer
Required SkillsHTML, CSS, JavaScript, basic backend knowledge, frameworks like React or AngularHTML, CSS, JavaScript, UI/UX design, frameworks like React or Vue
Work EnvironmentCollaborates on both client-side and server-side development in team settingsFocuses on user interface and experience, often working closely with designers
Common UsageEmployers seeking versatile developers capable of handling full project stacksEmployers focusing on enhancing website front-end features and design

In summary, an Entry Level Full Stack Web Developer has a broader skill set covering both front-end and back-end development, while a Front End Developer specializes in creating and optimizing user interfaces. The choice depends on your interest in full project development versus focusing on the visual and interactive aspects of websites.

Will Fullstack be replaced by AI?

Full Stack Web Developers perform tasks that involve designing, coding, and maintaining both front-end and back-end systems, which require problem-solving and creativity that AI currently cannot fully replicate. While AI tools can assist with coding and automation, human developers are essential for complex decision-making, architecture, and understanding user needs, making complete replacement unlikely in the near future.

Can I become a full stack developer with no experience?

Entry level full stack web developer roles often do not require prior professional experience, but candidates should have foundational skills in programming languages, web technologies, and frameworks. Learning through online courses, coding bootcamps, or personal projects can help build the necessary skills to qualify for such positions.

Is full stack developer an entry level job?

A full stack developer role can be entry level, but it often requires foundational skills in both front-end and back-end technologies, such as HTML, CSS, JavaScript, and server-side programming. Many employers seek candidates with some experience or relevant certifications, but entry-level positions are available for those with strong learning ability and basic technical knowledge.

What are some common challenges faced by entry level full stack web developers during their first projects, and how can they overcome them?

Entry level full stack web developers often face challenges such as balancing responsibilities across both front-end and back-end tasks, understanding legacy codebases, and getting up to speed with team workflows. Navigating unfamiliar frameworks or tools and effectively communicating with designers, QA testers, and other developers can also be tough initially. To overcome these obstacles, new developers should actively seek feedback, participate in code reviews, and make use of project documentation and mentorship opportunities within their team. Embracing a growth mindset and being proactive in asking questions helps accelerate learning and integration into the development environment.
What are the most commonly searched types of Full Stack Web Developer jobs in Alberta? The most popular types of Full Stack Web Developer jobs in Alberta are:
What are popular job titles related to Entry Level Full Stack Web Developer jobs in Alberta? For Entry Level Full Stack Web Developer jobs in Alberta, the most frequently searched job titles are:
What job categories do people searching Entry Level Full Stack Web Developer jobs in Alberta look for? The top searched job categories for Entry Level Full Stack Web Developer jobs in Alberta are:
Entry Level Full Stack Web Developer jobs near you
Infographic showing various Entry Level Full Stack Web Developer job openings in Alberta as of June 2026, with employment types broken down into 39% Full Time, 59% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $82,789 per year, or $39.8 per hour.

Intermediate Full Stack Software Engineer

AltaML

Calgary, AB • On-site

Full-time

PTO

Posted yesterday

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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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