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Principal Engineer; Remote

Remote / Online - Candidates ideally in
Toronto, Ontario, C6A, Canada
Listing for: PowerToFly
Remote/Work from Home position
Listed on 2026-01-16
Job specializations:
  • Software Development
    DevOps, Software Engineer
Job Description & How to Apply Below
Position: Principal Engineer (Remote)

Position Overview

Autodesk is a global leader in 3D Design, Engineering, and Entertainment software. The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter. We work on a cutting‑edge CAD/CAM/CAE product, Fusion 360.

Fusion CI/CD/Test System is a critical and sophisticated engineering infrastructure and pipeline for Fusion 360 build, development, testing, and delivery. It is built and running on modern Cloud Computing Technology.

Responsibilities
  • Design and implement a comprehensive end‑to‑end test automation framework for Fusion 360 regionalization testing across multiple geographic regions.
  • Architect and implement multi‑region test infrastructure with CI/CD pipelines for parallel test execution, automated deployment, and real‑time reporting across geographic regions.
  • Develop Infrastructure as Code (Terraform, Ansible) for automated test environment provisioning and configuration management across multiple cloud regions.
  • Lead technical strategy by working with engineering teams and stakeholders to define testing approaches, success criteria, and the roadmap for regionalization.
  • Establish automation excellence through hands‑on mentorship, creating reusable frameworks, coding standards, and technical documentation.
  • Integrate AI/ML capabilities into test automation workflows for intelligent test generation, predictive failure analysis, and automated maintenance.
  • Write production‑grade automation code in Python and C++ to solve complex testing challenges at scale.
  • Implement comprehensive monitoring, alerting, and observability for the distributed test infrastructure.
  • Build container orchestration solutions (Docker, Kubernetes) for scalable, on‑demand test execution.
  • Optimize test execution performance through intelligent parallelization and resource management.
  • Design resilience patterns (circuit breakers, retry logic) for reliable testing in distributed environments.
Minimum Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 10+ years in software development with 5+ years in test automation, Dev Ops, or infrastructure engineering.
  • Experience with cloud platforms (AWS or Azure) and distributed systems architecture.
  • Track record of building scalable automation frameworks or infrastructure from scratch.
Technical Skills
  • Programming:
    Proficient in C++ and Python (required); additional experience with Java or JavaScript/Type Script is a plus.
  • Test Automation:
    Hands‑on experience building test frameworks; proficient with modern automation tools (Selenium, Playwright, Cypress, or similar).
  • Dev Ops & Infrastructure: CI/CD pipeline design (Jenkins, Git Hub Actions, Git Lab CI), Infrastructure as Code (Terraform, Cloud Formation, Ansible), container technologies (Docker, Kubernetes).
  • API Testing:

    Experience with REST, Graph

    QL testing; tools like Postman, REST Assured, or API test frameworks.
  • Cloud Architecture:
    Understanding of VPC, networking, IAM, service deployment patterns, and scalability design.
  • Databases: SQL (Postgre

    SQL/MySQL) and No

    SQL databases for test data management.
Leadership
  • Proven ability to mentor engineers and drive technical initiatives.
  • Excellent communication skills for working with cross‑functional teams.
  • Experience in defining technical strategy and making architectural decisions.
Preferred Qualifications

AI & Modern Testing (Highly Valued)
  • AI Agent Development:
    Experience building AI agents for test automation using frameworks like Lang Graph or similar agentic architectures; understanding of agent orchestration and multi‑agent patterns.
  • LLM Integration:
    Hands‑on experience integrating LLMs into testing workflows; proficient in prompt engineering and context management for test generation.
  • Intelligent Test Systems:
    Experienced in developing AI‑powered test automation that leverages agents for test generation, execution analysis, and self‑healing capabilities.
  • Python & Async Patterns:
    Strong Python skills with async/await architecture for building scalable agent‑based…
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