Principal Software Development Engineer

Job Requisition ID # 26WD95186

Position Overview We are growing our Cloud Management team within Autodesk’s Enterprise IT organization. This team designs, provisions, and operates enterprise multi-cloud platforms that enable secure, scalable, and compliant infrastructure for Autodesk’s global engineering teams.

At the center of this effort is Infrastructure Software Automation Platform , Autodesk’s cloud infrastructure automation system that provisions and manages cloud environments across AWS, Azure, and GCP . The platform enables self-service infrastructure, enforces governance and security controls, and supports critical workloads across Autodesk’s product ecosystem.

As a Principal Software Development Engineer on the Infrastructure Automation Team, you will define and drive the technical direction of Autodesk’s multi-cloud infrastructure automation platform . You will architect solutions that operate at global scale across AWS, Azure, and GCP , and enable hundreds of internal teams to securely consume cloud infrastructure.

This role combines hands-on technical leadership , architectural ownership, and cross-team influence. You will shape platform strategy while remaining deeply involved in design and implementation.

Technical Leadership & Architecture

• Define and evolve the multi-cloud architecture of the Alfred Platform serving 100+ internal teams
• Establish engineering standards for serverless, microservices, infrastructure automation, and observability
• Drive architectural decisions for multi-account and multi-project cloud strategies
• Lead design reviews and mentor engineers on system design, code quality, and cloud best practices
• Own the long-term technical roadmap, scalability strategy, and modernization efforts
• Drive system reliability, performance, and cost optimization across cloud providers

Technical Execution

• Architect and build complex systems for cloud account provisioning, governance, and lifecycle management
• Design large-scale cloud-native architectures using serverless, container, and managed services
• Lead Terraform module architecture supporting AWS, Azure, and GCP environments
• Design event-driven orchestration using cloud-native messaging and workflow services
• Establish observability standards for logs, metrics, traces, and alerting at scale
• Define and integrate AI-assisted observability and automation, including anomaly detection, predictive insights, and intelligent remediation workflows
• Ensure AI-driven capabilities are secure, auditable, explainable, and aligned with compliance requirements
• Lead technical debt reduction and platform modernization initiatives

Cross-Functional Collaboration

• Partner with Security and Compliance teams on audits, governance, and regulatory readiness
• Collaborate with SRE teams on incident response and operational excellence
• Work with Product teams to translate business requirements into scalable technical solutions
• Coordinate with global engineering teams across regions
• Engage with cloud provider partners on service adoption and best practices

Required Qualifications Technical Leadership

• 8+ years of software development experience, with 5+ years in senior or principal-level roles
• Proven experience designing and delivering large-scale distributed systems
• Strong architectural judgment with the ability to articulate trade-offs across cloud platforms
• Experience mentoring engineers and leading cross-team technical initiatives

Technical Expertise

• Deep experience with at least two major cloud providers (AWS, Azure, GCP)
• Strong proficiency in Go and Python
• Advanced experience with Terraform and complex multi-cloud module ecosystems
• Expertise in microservices, serverless, and event-driven architectures
• Strong understanding of cloud security, identity, encryption, and compliance frameworks
• Deep experience with observability at scale (metrics, logs, traces, alerting)
• Solid understanding of distributed systems concepts and failure modes
• Experience designing, operating, or governing Kubernetes-based platforms (EKS, AKS, GKE)

Preferred Qualifications

• Experience designing or integrating AI-assisted operational systems (AIOps)
• Ability to evaluate when Kubernetes is appropriate versus serverless or managed services
• Experience with cloud governance models and policy enforcement
• Exposure to FinOps and mu…