Principal Engineer (Remote)

Job Requisition ID #

25WD94108

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.

We are seeking a highly skilled and experienced Principal Software Engineer with expertise in Test Automation, DevOps, and Multi-Region Infrastructure to join our newly established Regionalization Test Automation initiative. The successful candidate will have extensive experience in designing and implementing scalable test automation frameworks, architecting multi-region deployment and testing pipelines, and driving testing excellence across distributed cloud environments. You will work closely with cross-functional teams, including Engineering and Service Operations, to define the technical strategy and roadmap for scaling our test automation coverage.

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

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 10+ years in software development with 5+ years in test automation, DevOps, 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

• Programming: Proficient in C++ and Python (required); additional experience with Java or JavaScript/TypeScript is a plus
• Test Automation: Hands-on experience building test frameworks; proficient with modern automation tools (Selenium, Playwright, Cypress, or similar)
• DevOps & Infrastructure: CI/CD pipeline design (Jenkins, GitHub Actions, GitLab CI), Infrastructure as Code (Terraform, CloudFormation, Ansible), container technologies (Docker, Kubernetes)
• API Testing: Experience with REST, GraphQL 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 (PostgreSQL/MySQL) and NoSQL databases for test data management

• 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

• AI Agent Development: Experience building AI agents for test automation using frameworks like LangGraph 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: Experience 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 testing systems

• Hands-on multi-region or multi-cloud deployment experience
• Understanding of data sovereignty, compliance, and cross-region data synchronization
• Experience with service mesh, API gateway, and global load balancing
• Experience with observability stacks (Prometheus, Grafana, ELK, Datadog)
• Background in SRE practices and building resilient distributed systems

• Experience with engineering/CAD/CAM software, PLM systems, or technical design tools
• Understanding of manufacturing workflows, product data management, or engineering collaboration systems
• Background in SaaS globalization, internationalization, or regionalization projects
• Experience testing complex desktop applications (not just web applications)