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Software Test Engineer Jobs in Alberta (NOW HIRING)

Promise Robotics

Robotics Software Developer

Calgary, AB

  • Medical

  • Dental

  • Vision

We're looking for a Robotics Software Developer to join our team and contribute to developing ... Build and maintain simulation scenes - set up and extend simulation environments and test scenarios ...

Ecolab Inc.

Factory Test Specialist

Calgary, AB

  • Medical

  • Dental

  • Vision

  • PTO

The Factory Test Specialist at CoolIT Systems is responsible for ensuring the quality and ... programming language * Proficiency in statistical methods and software (such as Minitab)

Seequent

Senior Software Developer

Calgary, AB · On-site

The role As a Senior Software Developer on the 3D Visualization team, you will be at the forefront ... Design, implement, test, document, and maintain complex frontend features using modern JavaScript ...

Ecolab

Factory Test Specialist

Calgary, AB · On-site

  • Medical

  • Dental

  • Vision

  • PTO

Bachelor's degree in electrical Engineering, or a related technical field * Minimum of 3 year of ... Proficiencyinstatistical methods and software (such as Minitab) * Proficiencyin MS PowerPoint ...

Ecolab

Factory Test Specialist

Calgary, AB

  • Medical

  • Dental

  • Vision

  • PTO

Bachelor's degree in electrical Engineering, or a related technical field * Minimum of 3 year of ... Proficiencyinstatistical methods and software (such as Minitab) * Proficiencyin MS PowerPoint ...

JLL

Staff Software Developer

Calgary, AB

Leverage AI coding assistants and enterprise software agents to rapidly develop, test, and iterate ... Mentor junior engineers on proper standards and techniques to improve their accuracy and efficiency ...

NDAX Canada Inc.

Quality Assurance Engineer

Calgary, AB · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Our ideal candidate will be responsible for conducting tests before product launches to ensure software runs smoothly and meets client needs, while being cost-effective. If you hold an engineering ...

Ndax Canada Inc.

Quality Assurance Engineer

Calgary, AB · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Our ideal candidate will be responsible for conducting tests before product launches to ensure software runs smoothly and meets client needs, while being cost-effective. If you hold an engineering ...

HireValues

Senior FullStack Engineer

Calgary, AB · On-site

... test, deploy, maintain and improve software applications Assist in evaluating technology choices ... developers and sharing your experiences with the team Take the lead on projects as needed Bonus ...

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Software Test Engineer information

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How much do software test engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for software test engineer in Alberta is $44.14, according to ZipRecruiter salary data. Most workers in this role earn between $35.58 and $50.96 per hour, depending on experience, location, and employer.

What is a software test engineer?

A software test engineer conducts quality assurance tests on software to make sure programs are functioning properly. The three types of testing strategies are black box, where the tester is not familiar with the software, white box, where the tester is aware of the software’s internal structure, and gray box, which is a combination of the two. Responsibilities in this job include running diagnostic tests with a critical mindset, assessing the functionality, and reporting the findings.

What are the key skills and qualifications needed to thrive as a software test engineer, and why are they important?

To thrive as a Software Test Engineer, you need a solid understanding of software development life cycles, test methodologies, and proficiency in programming languages such as Python or Java, often supported by a degree in computer science or related fields. Familiarity with automation tools like Selenium, JUnit, or TestNG, and knowledge of bug tracking systems such as Jira are typically required. Attention to detail, analytical thinking, and effective communication set standout engineers apart by enabling thorough defect identification and clear reporting. These skills and qualities are crucial for ensuring software reliability, meeting quality standards, and facilitating smooth collaboration across development teams.

What are some common challenges faced by software test engineers when working with cross-functional development teams?

Software Test Engineers often encounter challenges such as aligning testing timelines with rapid development cycles, ensuring clear communication of bugs and requirements, and adapting to evolving project priorities. Collaborating closely with developers, product managers, and UX designers requires proactive communication and flexibility, especially when dealing with ambiguous requirements or shifting deadlines. To succeed, it's important to maintain detailed documentation, participate actively in agile ceremonies, and foster a collaborative attitude to resolve issues efficiently and ensure high-quality software releases.

What is the difference between Software Test Engineer vs QA Analyst?

AspectSoftware Test EngineerQA Analyst
CertificationsISTQB, CSTE, CSQAISTQB, CSTE, CSQA
Work EnvironmentDevelopment teams, testing labsQuality assurance departments, testing labs
Industry UsageSoftware companies, tech firmsSoftware companies, IT organizations
Primary FocusDesigning, executing tests, automationTest planning, process improvement, documentation

Both roles often require similar certifications and work in software testing environments within tech industries. The Software Test Engineer typically focuses on test case development, automation, and execution, while the QA Analyst emphasizes test planning, quality processes, and documentation. Understanding these distinctions helps organizations assign the right responsibilities and professionals for their testing needs.

More about Software Test Engineer jobs

What are the most commonly searched types of Software Test Engineer jobs in Alberta?

The most popular types of Software Test Engineer jobs in Alberta are:

What are popular job titles related to Software Test Engineer jobs in Alberta?

For Software Test Engineer jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Software Test Engineer jobs in Alberta look for?

The top searched job categories for Software Test Engineer jobs in Alberta are:

What are popular job titles related to Software Test Engineer jobs in AB?

For Software Test Engineer jobs in AB, the most frequently searched job titles are:

Software Test Engineer jobs near you
Infographic showing various Software Test Engineer job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $91,821 per year, or $44.1 per hour.

Intermediate Full Stack Software Engineer

AltaML

Calgary, AB

Full-time

PTO

Re-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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