Job Requisition ID #
Position Overview
The Principal Core Services Engineer(AI/ML Focus) within Autodesk’s Cloud Infrastructure, Platform & Engineering (CIPE) organization will be a key contributor in advancing our next-generation intelligent cloud platform and Developer tools. This role focuses on building scalable, secure, and self-optimizing systems that power Autodesk’s global engineering ecosystem and Tier-0 services.
You will design and develop AI-enabled, cloud-native solutions leveraging AWS, Kubernetes, and Python, integrating Agentic AI workflows to automate complex operations, improve reliability, and drive platform-level resilience. Working across hybrid and multi-cloud environments, you will help standardize architectures and accelerate Autodesk’s transformation toward autonomous infrastructure services.
The ideal candidate combines strong software engineering fundamentals with deep cloud infrastructure knowledge, and brings a mindset of innovation, reliability, and operational rigor. You will collaborate with architects, service owners, and AI platform teams to deliver production-ready systems that enhance developer productivity, service uptime, and global Service scalability.
Responsibilities
Design, optimize, and maintain Core Services, with a strong focus on DNS, foundational cloud infrastructure, and service reliability across hybrid and multi-cloud environments
Build and enhance cloud-native services on AWS and Azure, leveraging Python for scalable, performant, and secure system design
Develop and deploy containerized workloads using Kubernetes, ensuring efficiency, resilience, and operational consistency
Implement Agentic AI capabilities to drive intelligent automation, proactive issue resolution, and continuous performance optimization
Automate infrastructure provisioning, CI/CD pipelines, observability, and monitoring to strengthen platform efficiency and reduce operational overhead
Collaborate with architecture and engineering teams to define, evolve, and standardize core service patterns and foundational designs
Design and implement AI-driven agents leveraging MCP (Model Context Protocol) for tool interoperability, dynamic orchestration, and autonomous task execution across platforms
Develop adaptive workflows and intelligent orchestration frameworks that enable DNS and other foundational services to self-heal, scale intelligently, and operate with minimal manual intervention
Troubleshoot and resolve complex distributed system challenges, with emphasis on performance tuning, network optimization, and DNS service reliability
Contribute to engineering best practices, design reviews, and architectural evolution to enhance system efficiency and maintainability
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent professional experience
Proven expertise in Core Services engineering (DNS, networking, service reliability) and foundational service optimization
Strong hands-on experience with AWS services (e.g., EC2, EKS, Lambda, S3, RDS, IAM) and exposure to Azure environments
Proficiency in Kubernetes orchestration and containerization for large-scale, production-grade systems
Advanced Python development skills for backend, automation, and service optimization
Hands-on experience with MCP (Model Context Protocol) or equivalent frameworks.
Deep understanding of LLMs, AI agent architectures, and orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel)
Familiarity with Infrastructure-as-Code tools (Terraform, CloudFormation, AWS CDK)
Experience with CI/CD pipelines, DevOps practices, and cloud networking fundamentals
Solid understanding of networking, DNS architecture, cloud security, and distributed system design
Preferred Qualifications
Experience designing or managing Core DNS Services, authoritative and recursive DNS, and traffic management across multi-region environments
Background in intelligent agent development, AI-driven orchestration, or self-optimizing infrastructure systems
Exposure to multi-cloud and hybrid architectures, including performance and cost optimization across providers
Familiarity with observability stacks such as Prometheus, Grafana, ELK, CloudWatch, or equivalent
Contributions to open-source projects in DNS, AI, Kubernetes, or cloud-native ecosystems
Strong analytical thinking, cross-functional collaboration, and communication skills
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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. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
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