Senior Principal Engineer

Job Requisition ID # 26WD100374 Position Overview GET Engineering is seeking an experienced Senior Principal Engineer – AI and Engineering Excellence to lead the technical strategy and evolution of our cloud platform, developer experience, application delivery, and AI-enabled engineering capabilities within the GET Engineering - Horizontal Services organization. This is a hands-on technical leadership role responsible for building scalable, secure, and reliable cloud platforms that accelerate software delivery across Autodesk. You will define architecture, establish engineering standards, drive platform adoption, and partner across Software Engineering, Security, Infrastructure, and Product teams to deliver enterprise-scale platform solutions. The ideal candidate combines deep expertise in AWS, Kubernetes, CI/CD, Infrastructure as Code, observability, and developer productivity with the ability to influence technical direction across multiple engineering organizations.

Define and execute the technical vision for Platform Engineering, DevOps, and Internal Developer Platform (IDP) initiatives Architect and evolve cloud-native platforms on AWS using Kubernetes (EKS), Infrastructure as Code, GitOps, and modern CI/CD pipelines Build scalable, secure, and highly available platform services that improve developer productivity and accelerate application delivery Establish reusable platform "paved roads," self-service capabilities, and automation that reduce operational overhead Drive operational excellence through observability, SRE practices, security- by-default, incident management, and continuous improvement Provide technical leadership through architecture reviews, design guidance, mentoring, and cross-functional collaboration Minimum Qualifications BS/MS in Computer Science, Engineering, or related technical field. 12+ years of software engineering experience with proven technical leadership as a Principal Engineer, Software Architect, or Technical Lead Deep expertise in AWS, Kubernetes (EKS), Terraform, AWS CDK, ArgoCD/GitOps, and modern CI/CD platforms Proven experience operating large-scale cloud platforms and running production services on Kubernetes Strong background managing CDN, Web Security, and high-scale web applications Experience designing highly available, secure, observable, and resilient distributed systems Deep understanding of Authentication & Authorization, cloud security, and Infrastructure as Code Strong experience with observability, SRE practices, incident management, and reliability engineering Mastery of at least one programming language: Python, Java, TypeScript, or Go Familiarity with automated testing tools such as Playwright, BlazeMeter, JMeter, LoadRunner, or similar Proven ability to drive developer productivity through platform automation and self-service engineering solutions Excellent communication and collaboration skills with the ability to influence senior leadership and drive technical outcomes in a highly collaborative environment Proven experience designing, building, or integrating production AI-enabled platform services Experience with LLM APIs, RAG, agentic workflows, tool integration, MCP, and enterprise AI platform architecture Experience applying security, governance, evaluation, and observability practices to enterprise AI systems Preferred Qualifications Experience building Internal Developer Platforms (Backstage or similar) Multi-cloud experience across AWS and Azure Experience with service mesh, policy-as-code, and enterprise security platforms Experience with enterprise AI and agentic application stacks, including managed LLM platforms such as AWS Bedrock orAzure, LLM gateway such as LiteLLM, orchestration frameworks such as LangGraph or Google ADK, model-serving such as KServe or vLLM, vector-search such as OpenSearch or pgvector, and MLOps/LLMOps practices for evaluation, tracing, versioning, deployment, monitoring, and governance, or