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Qa Tester With Python Jobs in Calgary, AB (NOW HIRING)

AI Engineer - Canada

Calgary, AB ยท Remote

CA$60K - CA$70K/yr

Work closely with team leads managers, QA, product managers and team in the US (this will require ... Strong proficiency in Python and its relevant data science libraries (e.g., Pandas, NumPy, Scikit ...

AFT Test Lead

Calgary, AB ยท Remote

CA$70 - CA$75/hr

Stay current with testing methodologies, tools, and industry trends to enhance QA effectiveness ... Experience with test automation tools and frameworks (Playwright, Cypress, Python, JavaScript)

... QA/QC measures and coordination with relevant technical resources/departments. * Manage, review ... Manage, review and coordinate the development of Inspection and Testing Plans (ITPs) for ...

You Have: * 3+ years' experience in a Quality Engineer role ... Prior experience creating automated testing with Java and Javascript. * Experienced utilizing ...

You Have: * 3+ years' experience in a Quality Engineer role ... Prior experience creating automated testing with Java and Javascript. * Experienced utilizing ...

Air Quality Project Manager

Calgary, AB ยท Hybrid

CA$93.80K - CA$129K/yr

Proficiency in data analysis and familiarity with Python programming and panda's library for predictive modelling. * Knowledge of federal, provincial, and local regulations related to air quality and ...

With us, you can. You want Purpose. Growth. Opportunity. People who get it. We are the home of ... Conduct air quality assessments, emissions inventories, and dispersion modelling for industrial ...

With us, you can. You want Purpose. Growth. Opportunity. People who get it. We are the home of ... Conduct air quality assessments, emissions inventories, and dispersion modelling for industrial ...

... testing and lifting equipment. * Update welding procedures and maintain welder qualifications in accordance with the Canadian Welding Bureau (CWB); identify and implement value-engineering and ...

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Qa Tester With Python information

What are the key skills and qualifications needed to thrive as a QA Tester with Python, and why are they important?

To thrive as a QA Tester with Python, you need a solid understanding of software testing methodologies, scripting in Python, and familiarity with bug tracking and test management tools, often supported by a degree in computer science or related experience. Proficiency in using automated testing frameworks like Selenium, pytest, or Robot Framework, as well as version control systems such as Git, is typically required. Attention to detail, analytical thinking, and strong collaboration skills help QA testers effectively identify issues and communicate findings with development teams. These competencies ensure high-quality software releases, efficient defect detection, and smooth teamwork throughout the development lifecycle.

How does a QA Tester with Python typically collaborate with developers and other team members during the software development lifecycle?

QA Testers with Python play a key role in cross-functional teams by working closely with developers, product managers, and sometimes UX designers. They participate in sprint planning to understand new features and requirements, write automated test scripts in Python, and provide prompt feedback on bugs or issues. Regular communication is essential, as QA Testers often review code changes, clarify expected behaviors, and work with developers to resolve defects quickly. This collaborative approach helps ensure software quality and timely releases.

What does a QA Tester with Python do?

A QA Tester with Python is responsible for ensuring the quality and functionality of software applications by designing, developing, and executing test cases using the Python programming language. They write automated scripts to identify bugs, verify new features, and ensure that software meets the required standards before release. Their role often involves collaborating with developers and other QA team members to improve testing processes and maintain high software quality.

What is the difference between Qa Tester With Python vs Manual Qa Tester?

AspectQa Tester With PythonManual Qa Tester
SkillsPython scripting, automation tools, test automation frameworksTest case execution, defect reporting, manual testing techniques
CertificationsISTQB, Python certifications often preferredISTQB, Certified Software Tester (CSTE)
Work EnvironmentAutomation testing, scripting, CI/CD pipelinesManual testing, exploratory testing, user scenario testing
Industry UsageTech companies, software development firmsVariety of industries including finance, healthcare, retail

Qa Tester With Python focuses on automation, scripting, and using Python to develop test scripts, while Manual Qa Tester emphasizes executing test cases manually and identifying defects without automation tools. Both roles are essential in quality assurance, but Qa Tester With Python typically requires programming skills, making it suitable for automation-heavy environments.

What are popular job titles related to Qa Tester With Python jobs in Calgary, AB? For Qa Tester With Python jobs in Calgary, AB, the most frequently searched job titles are:

AI Engineer - Canada

Pulsora, Inc.

Calgary, AB โ€ข Remote

CA$60K - CA$70K/yr

Full-time

Posted 4 days ago


Job description

Founded in 2021, Pulsora the โ€œEnterprise Sustainability Platformโ€, is a well-funded Silicon Valley software startup.ย  It is dedicated to empowering purpose-driven enterprises to manage and improve their environmental, social, and governance (ESG) and overall sustainability footprint with an integrated, comprehensive, flexible, and innovative technology platform built for compliance, tracking, and insight. We are well funded, have amazing customers across industries and geographies, established strategic partnerships with leading ERP and consulting firms, and are growing fast!ย 

About the job

We are seeking a highly skilled and experienced AI/ML Developer to join our team. The ideal candidate will be a specialist in the rapidly evolving field of Large Language Models (LLMs) and generative AI, with a strong background in developing, integrating, and optimizing complex agentic and RAG-based systems.

What you will do
  • LLM Integration & Development: Design, develop, and deploy production-grade applications leveraging various LLMs, context optimization, etc.

  • Agentic Workflows: Architect and implement sophisticated, multi-step and multi-agent workflows using frameworks like LangChain and LangGraph.

  • Retrieval Augmented Generation (RAG): Build and optimize RAG pipelines, including implementing and managing embeddings, vector databases, and advanced rerankers to enhance response quality and relevance.

  • Vibe Coding: Use code generation applications (e.g. Replit, Cursor, Google AI Studio, Git Hub Copilot in Agent mode, etc.) to create full applications (including frontend and backend), generate tests, perform testing and integrate them in the core product without writing any code.

  • LLM Fine Tuning: Lead efforts in LLM fine-tuning (e.g., LoRA, QLoRA) for specific domain knowledge and tasks, and implement strategies for and efficiency.

  • Prompt Engineering: Develop and refine advanced prompt engineering techniques to maximize model performance, consistency, and safety.

  • Full-Stack Development: Own end-to-end implementation from frontend to the backend.

  • Java (Plus): Expose AI/LLM functionality written in Python using Java services, leverage multi-threading capabilities in Java to augment AI/LLM functionality developed in Python

  • Code Quality & Productivity: Utilize AI-powered development tools (e.g., GitHub Copilot, etc.) to efficiently generate, refactor, and optimize high-quality code.

  • Collaboration: Work closely with team leads managers, QA, product managers and team in the US (this will require the willingness to partially work US working hours)

About you
  • Undergraduate degree in Computer Science or similar Engineering field, advanced degree is a plus

  • 5+ years of professional experience in software development, with a minimum of 2 years focused on AI/ML development, particularly with LLMs

  • Strong proficiency in Python and its relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn)

  • Proven experience integrating and working with major LLM APIs - both public and private/local, e.g., Gemini, OpenAI, Anthropic, Llama, Ollama, etc., including hands-on experience using techniques for LLM efficiency

  • At least 1 year of deep practical experience with LangChain and LangGraph for building complex LLM applications and agentic workflows using autonomous agents, tools, memory management, parallelization, etc.

  • Practical experience using tools like Claude Code, Cursor, OpenAI, Microsoft Copilot, including the ability to safely integrate AI-generated code into production (validation, CI/CD)

  • Solid understanding and implementation experience with RAG architectures, vector DBs, vector search, embeddings, and reranking mechanisms

  • Experience leveraging AI Copilot or similar generative AI coding tools for accelerated development, code generation, refactoring, optimization, and vibe coding to create integrated backend and frontend applications

  • Experience creating UI using React and integrating the UI with the backend using REST APIs is a big plus

  • Hands-on experience with Java, especially integrating Java modules with Python modules is a nice to have, but not necessary

A little more about how you like to work
  • Strong collaboration across a small team, including great communication with both onshore and offshore departments and translating vague requirements into actionable systems.

  • Self-motivated and proactiveโ€”you create momentum without needing direction

  • A strong problem solver who can navigate ambiguity

  • A builder who cares about shipping real, working products

  • Comfortable with ownership, accountability, and high expectations

  • Thrives outside of traditional work structures

  • You own the quality of the product you build

Why this role?
  • High ownership and autonomy

  • Opportunity to build products end-to-end using AI-first workflows

  • Work at the cutting edge of AI-driven software development

  • Work with multiple leading-edge technologies

  • Fast-moving, execution-focused culture

Please note that we are unable to offer employer-sponsored visas in Canada at this time.

Why work at Pulsora?

We believe that progress happens by bringing together people from all walks of life who have the drive and the influence to improve our world now and for the next generations!

  • Ideally have industry and market knowledge of ESG and sustainability

  • The company will pay with salary, equity, and benefits

  • Youโ€™ll get to work on problems that are hard and important

  • You get to work on a solution that helps the planet and helps us all

  • Youโ€™ll be joining an extraordinary team at the beginning of an extraordinary journey

  • Hybrid-friendly work environment, in office 2-3 times per week (for those in New York, San Francisco Bay Area, and Munich)

Pulsora Core Values

  • Compassionate candor

  • Transparency

  • Embrace diversity and cultivate belonging

  • Make a positive impact

  • Delight customers

Join us and become a driver for positive change!

Compensation Range: CA$60K - CA$70K