As the Principal Software Development Engineer, you will be part of the AI, Data & Automation Organization (AIDA) within Autodesk's Enterprise Systems and Experience (ESE). AIDA is instrumental in enabling enterprise teams and customer-facing organizations to leverage AI, Data and Automation more effectively resulting in solutions that are combined with intelligent features and powerful automation through platforms we build and deliver. We are focused on bringing proactive tools, automation, and AI-enabled Intelligence to the existing processes across ESE & to other internal organizations associated with DevOps, Product Engineering, Specialized Services, Developer Enablement & Customer Experience, etc. Our team has a lot of visibility and the impact of our work is directly related to Autodesk business results. We value the culture, transparency and collaboration in our team and at Autodesk in general, we take pride in our global diversity and how we work and talk with one another.* Build foundational platforms and shared services that enable rapid development and innovation across multiple teams* Design systems for extensibility, multi-tenancy, and future growth — not just immediate product requirements* Champion reusable “building blocks” over siloed point solutions* Lead through influence and expertise across diverse engineering teams* Drive architectural decisions, mentor senior engineers, and contribute to a culture of engineering rigor and excellence* Facilitate knowledge sharing, tech strategy reviews, and cross-team collaboration* 10+ years of professional software development experience, including deep expertise in building and scaling distributed systems, cloud-native platforms (AWS, Azure, or GCP), and event-driven architectures* Expertise in Python (or similar modern programming languages) with experience delivering scalable, production-grade systems* Demonstrated ownership of end-to-end system design, development, and operational excellence for critical production systems* Strong understanding of security best practices, observability (monitoring, logging, alerting), and reliability engineering principles* Proven ability to design and evolve foundational platforms that accelerate development across multiple business units* Demonstrated ownership of initiatives from idea to production launch, with measurable business or customer impact* Experience designing systems supporting millions of users or high-throughput environments (enterprise scale* Experience working across multiple technical domains (e.g., backend, cloud infrastructure, security, data engineering, automation, CI/CD) and demonstrated ability to quickly ramp up on new technologies* Experience leading cross-functional initiatives and collaborating with product, security, operations, infrastructure, and business teams* Ability to solve ambiguous, complex problems by considering technical, business, and organizational perspectives* Excellent communication and influencing skills with the ability to engage diverse technical and non-technical stakeholders, including senior leadership* Experience mentoring senior engineers (Staff/Principal) and fostering a culture of engineering excellence* Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience* Experience mentoring Staff Engineers or building "Tech Culture" initiatives (like Engineering Excellence and Reliability Programs)* Master's degree in Computer Science or a related technical discipline* Experience in building AI and Machine Learning solutions* Experience scaling systems to millions of users or high-throughput enterprise environments* Contributions to open-source projects, technical publications, or speaking at major industry events* Hands-on experience with modern DevOps practices, CI/CD pipelines, and infrastructure as code (IaC)* Experience mentoring Staff Engineers or building "Tech Culture" initiatives (like Engineering Excellence and Reliability Programs)#J-18808-Ljbffr