Senior Platform Engineer

Senior Platform Engineer

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 Senior Platform Engineer, you will design, build, and operate cloud-native services that power infrastructure automation, observability, and operational workflows across multiple cloud providers. You will work closely with senior engineers and architects to deliver reliable, scalable systems using modern cloud services, Infrastructure as Code, and CI/CD pipelines.

In accordance with U.S. government contracting and FedRAMP compliance obligations, this role requires U.S. citizenship or U.S. lawful permanent residency. Employment is contingent upon meeting all applicable government security and eligibility requirements.

Responsibilities

• Design and develop serverless and containerized services using Go and Python
• Build and operate microservices using cloud-native compute platforms across AWS, Azure, and GCP (e.g., Lambda, Azure Functions, ECS/Fargate, managed container services)
• Implement Infrastructure as Code using Terraform to manage multi-account and multi-project cloud environments
• Develop and maintain CI/CD pipelines using Jenkins and CloudOS
• Build event-driven workflows using cloud-native messaging and orchestration services
• Implement scalable data persistence using managed databases and object storage services
• Contribute to security and compliance controls.
• Implement monitoring, logging, and tracing using cloud-native observability tools and custom metrics
• Support AI-assisted observability initiatives, including intelligent alerting, anomaly detection, and signal correlation using telemetry data
• Optimize services for reliability, performance, and cost across cloud providers
• Participate in on-call rotations and production incident response
• Build and enhance automated cloud account and project provisioning workflows
• Develop self-service APIs for infrastructure requests and governance
• Implement cross-account and cross-project identity and access controls
• Create reusable Terraform modules and service templates
• Build and maintain Docker images and manage deployments via container registries

Minimum Qualifications

• 5+ years of experience building and operating production software systems
• Strong proficiency in Go or Python
• Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP)
• Experience designing systems intended to run across multiple cloud environments
• Experience with Terraform or CloudFormation
• Experience with Docker and containerized workloads
• Familiarity with CI/CD tools (Jenkins, GitHub Actions)
• Solid understanding of REST APIs, microservices, and event-driven design
• Experience working in Git-based, collaborative engineering environments
• Bachelor's degree in computer science, Engineering, or equivalent practical experience

Preferred Qualifications

• Experience with multi-cloud architectures spanning AWS, Azure, and GCP
• Experience with regulated or compliance-driven environments
• Experience working with observability data (metrics, logs, traces)
• Exposure to AI-powered observability or AIOps tools
• Knowledge of cloud identity systems and governance models
• Familiarity with Kubernetes fundamentals and container orchestration concepts
• Exposure to managed Kubernetes platforms (EKS, AKS, GKE)