About the role

Principal Software Development Engineer at Autodesk developing cloud services for Manufacturing Cloud. Leading engineering efforts in collaboration with global MFGDM teams.

Responsibilities

Work within a scrum team with about 7-8 engineers
Can lead to accomplish customer/project requirements from PO/PM
Can drive and foster the collaboration with other scrum teams located in Canada or in other sites around the world
As the primary developer, boldly lead to design, implement, test and deliver any MFGDM modules/components/services
Can help team to remove obstacles, drive solutions for challenges, predict risks, and figure out mitigation plan
Can communicate effectively with stakeholders in different phases in terms of requirements clarification, solution/planning review, status/progress sharing etc.
Can consistently demonstrate the sense of engineering excellence and lead or contribute to make positive impact to teams’ deliveries with high quality
Can lead Applied AI in product delivery: Use AI coding agents to accelerate delivery of production features and fixes, with rigorous verification (tests, CI, code review) and security-aware usage
Drive Applied AI best practice into team/product and promote our best practice/achievement to outside, so other engineers can adopt AI-first workflows productively and safely

BS or higher in computer science or related technical discipline
8+ years of software development experience in commercialized products or big-scale systems
Excellent problem-solving and troubleshooting skills
Strong sense of ownership and competence in driving alignments
Fast learner and good team player
Excellent communication and presentation skills
Embrace changes and can work under pressure
Expert in JavaScript /Typescript / Node.js. Real project experience with these skills is a must
Expert in using AWS or similar Cloud platform like Azure. Real project experience with these skills is a must
Demonstrated experience using AI coding tools to ship production systems, and the engineering judgment to verify and correct AI output (code review rigor, debugging skill, ownership of correctness)