Job Requisition ID #
Position Overview
We are seeking a Senior Software Platform Engineer with strong expertise in AWS, Kubernetes, Agentic AI, and Python. In this role, you will design, develop, and optimize scalable, secure, and high-performance cloud-native solutions. You will leverage AI-driven automation and intelligent workflows to enhance platform reliability, performance, and efficiency, while ensuring seamless integration across hybrid and multi-cloud environments.
Responsibilities
Design and build cloud-native applications and services on AWS using Python
Develop, deploy, and manage containerized workloads using Kubernetes
Implement Agentic AI capabilities to drive intelligent automation and system optimization
Automate infrastructure provisioning, CI/CD pipelines, and monitoring solutions
Collaborate with architects, engineers, and stakeholders to define and implement scalable technical solutions
Design and implement AI agents leveraging MCP to enable interoperability between tools, APIs, and enterprise systems
Develop workflows and orchestrations for agents to perform complex tasks autonomously
Troubleshoot and resolve complex issues in distributed, high-performance systems
Contribute to engineering best practices, design reviews, and architecture standards
Minimum Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent professional experience
Strong hands-on experience with AWS services (e.g., EC2, EKS, Lambda, S3, RDS, IAM)
Expertise in Kubernetes orchestration and containerization.
Proficiency in Python for backend development, automation, and scripting
Hands-on experience with MCP (Model Context Protocol) or similar frameworks
Deep understanding of LLMs, AI agent architectures, and orchestration frameworks (LangChain, AutoGen, Semantic Kernel, or equivalent)
Familiarity with Infrastructure-as-Code tools (Terraform, CloudFormation, or AWS CDK)
Experience with CI/CD pipelines and DevOps practices
Solid understanding of networking, cloud security, and distributed systems
Preferred Qualifications
Experience developing intelligent agents, workflow orchestration, or applied AI in cloud platforms
Exposure to multi-cloud or hybrid cloud environments
Familiarity with observability and monitoring tools (Prometheus, Grafana, ELK, CloudWatch)
Contributions to open-source projects in AI, Kubernetes, or cloud-native ecosystems
Strong problem-solving, 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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