Asks for

The ad says“Experience with LLM APIs, RAG, agentic workflows, tool integration, MCP, and enterprise AI platform architecture”
The ad says“Deep expertise in AWS, Kubernetes (EKS), Terraform, AWS CDK, ArgoCD/GitOps, and modern CI/CD platforms”
The ad says“Deep understanding of Authentication & Authorization, cloud security, and Infrastructure as Code”
The ad says“Deep expertise in AWS, Kubernetes (EKS), Terraform, AWS CDK, ArgoCD/GitOps, and modern CI/CD platforms”
The ad says“Deep expertise in AWS, Kubernetes (EKS), Terraform, AWS CDK, ArgoCD/GitOps, and modern CI/CD platforms”
The ad says“Strong background managing CDN, Web Security, and high-scale web applications”
The ad says“Deep expertise in AWS, Kubernetes (EKS), Terraform, AWS CDK, ArgoCD/GitOps, and modern CI/CD platforms”
The ad says“Deep understanding of Authentication & Authorization, cloud security, and Infrastructure as Code”
The ad says“Deep expertise in AWS, Kubernetes (EKS), Terraform, AWS CDK, ArgoCD/GitOps, and modern CI/CD platforms”
The ad says“Mastery of at least one programming language: Python, Java, TypeScript, or Go”
The ad says“Deep understanding of Authentication & Authorization, cloud security, and Infrastructure as Code”
The ad says“Mastery of at least one programming language: Python, Java, TypeScript, or Go”
The ad says“Deep expertise in AWS, Kubernetes (EKS), Terraform, AWS CDK, ArgoCD/GitOps, and modern CI/CD platforms”
The ad says“Experience with LLM APIs, RAG, agentic workflows, tool integration, MCP, and enterprise AI platform architecture”
The ad says“Experience with LLM APIs, RAG, agentic workflows, tool integration, MCP, and enterprise AI platform architecture”
The ad says“Mastery of at least one programming language: Python, Java, TypeScript, or Go”
The ad says“Experience with LLM APIs, RAG, agentic workflows, tool integration, MCP, and enterprise AI platform architecture”
The ad says“Strong experience with observability, SRE practices, incident management, and reliability engineering”
The ad says“Deep expertise in AWS, Kubernetes (EKS), Terraform, AWS CDK, ArgoCD/GitOps, and modern CI/CD platforms”
The ad says“Mastery of at least one programming language: Python, Java, TypeScript, or Go”
The ad says“Strong background managing CDN, Web Security, and high-scale web applications”

Values

The ad says“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 equivalent technologies [KC1] [KC2]”
The ad says“Multi-cloud experience across AWS and Azure”
The ad says“Experience building Internal Developer Platforms (Backstage or similar)”
The ad says“Familiarity with automated testing tools such as Playwright, BlazeMeter, JMeter, LoadRunner, or similar”
The ad says“Experience with SOX/SOC2 compliance, FinOps, and enterprise platform modernization”
The ad says“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 equivalent technologies [KC1] [KC2]”
The ad says“Familiarity with automated testing tools such as Playwright, BlazeMeter, JMeter, LoadRunner, or similar”
The ad says“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 equivalent technologies [KC1] [KC2]”
The ad says“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 equivalent technologies [KC1] [KC2]”
The ad says“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 equivalent technologies [KC1] [KC2]”
The ad says“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 equivalent technologies [KC1] [KC2]”
The ad says“Familiarity with automated testing tools such as Playwright, BlazeMeter, JMeter, LoadRunner, or similar”
The ad says“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 equivalent technologies [KC1] [KC2]”
The ad says“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 equivalent technologies [KC1] [KC2]”
The ad says“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 equivalent technologies [KC1] [KC2]”
The ad says“Familiarity with automated testing tools such as Playwright, BlazeMeter, JMeter, LoadRunner, or similar”
The ad says“Experience with service mesh, policy-as-code, and enterprise security platforms”
The ad says“Experience with service mesh, policy-as-code, and enterprise security platforms”
The ad says“Experience with SOX/SOC2 compliance, FinOps, and enterprise platform modernization”
The ad says“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 equivalent technologies [KC1] [KC2]”

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.

Key Responsibilities

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 equivalent technologies [KC1] [KC2]
Experience with SOX/SOC2 compliance, FinOps, and enterprise platform modernization

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For Canada based roles, we expect a starting base salary between $157,000 and $229,900. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

In-Person Onboarding and Identity Verification

This role may require in-person onboarding and/or in-person ID verification.

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