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Senior Software Engineer Shopify Jobs in Edmonton, AB

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

New

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

New

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

New

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

New

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

AI Trainer - Remote

Edmonton, AB · Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

New

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

New

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

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Senior Software Engineer Shopify information

What does a senior software engineer at Shopify do?

A Senior Software Engineer at Shopify designs, develops, and maintains software systems that power Shopify’s e-commerce platform. They collaborate with cross-functional teams to implement scalable solutions, provide technical leadership, and mentor junior engineers. Their responsibilities often include architecting new features, optimizing performance, and ensuring high code quality, all while keeping Shopify’s merchants and customers in mind. Senior engineers also help shape engineering best practices and drive strategic technical initiatives within the company.

What are the key skills and qualifications needed to thrive as a senior software engineer at Shopify?

To thrive as a Senior Software Engineer at Shopify, you need advanced programming skills (often in Ruby, Python, or JavaScript), a solid understanding of scalable system architectures, and several years of software development experience. Familiarity with Shopify's platform, cloud technologies (like AWS or Google Cloud), and tools such as Git, CI/CD pipelines, and containerization (Docker/Kubernetes) is typically expected. Strong problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities are crucial for delivering high-impact, reliable solutions that drive Shopify’s fast-paced, growth-oriented environment.

How does a senior software engineer at Shopify typically collaborate with cross-functional teams?

At Shopify, Senior Software Engineers regularly work alongside product managers, designers, data scientists, and other engineering teams to deliver impactful solutions. This collaboration often involves participating in sprint planning, code reviews, and design discussions to align technical implementation with business goals. Effective communication and an openness to feedback are crucial, as these teams are highly autonomous and value transparency. Senior engineers are also expected to mentor junior team members and help shape technical direction through knowledge sharing and leadership.

What is the difference between Senior Software Engineer Shopify vs Shopify Developer?

AspectSenior Software Engineer ShopifyShopify Developer
Required CredentialsBachelor's in Computer Science or related field, 5+ years experience, proficiency in Shopify APIs and LiquidBasic to intermediate knowledge of Shopify platform, coding skills in Liquid, HTML, CSS, JavaScript
Work EnvironmentCollaborates with cross-functional teams, involved in architecture and complex integrationsFocuses on customizing themes, building apps, and implementing store features
Employer & Industry UsageUsed by e-commerce companies, agencies, and large retailersUsed by small to medium-sized businesses, freelancers, and agencies

The main difference is that Senior Software Engineer Shopify typically involves more complex development, architecture, and team collaboration, while Shopify Developer focuses on theme customization, app development, and store setup. The senior role requires more experience and technical expertise, often working on larger projects within the Shopify ecosystem.

What are popular job titles related to Senior Software Engineer Shopify jobs in Edmonton, AB?

For Senior Software Engineer Shopify jobs in Edmonton, AB, the most frequently searched job titles are:

What cities near Edmonton, AB are hiring for Senior Software Engineer Shopify jobs?

Cities near Edmonton, AB with the most Senior Software Engineer Shopify job openings:

Infographic showing various Senior Software Engineer Shopify job openings in Edmonton, AB as of August 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

AI Software Engineer - Remote

Edmonton, AB • Remote

$80 - $120/hr

Full-time

Posted 3 days ago

New


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.