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Autodesk

Senior Platform Engineer

Autodesk

Senior Platform Engineer leading developer enablement and automation at Autodesk. Building scalable systems to improve developer productivity and onboarding experience across platforms.

Posted 7/28/2026full-timeRemote • 🇮🇪 IrelandSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in architecting and evolving developer onboarding platforms, with a strong focus on cloud-native automation, AI/ML solutions, and CI/CD pipeline implementation. Proven ability to enhance developer experience through scalable platform solutions and effective technical documentation.

Highest-signal resume keywords
Cloud-Native Application DevelopmentCI/CD Pipeline Design and ImplementationInfrastructure-as-Code (Terraform, Helm, Ansible)AI/ML Systems DevelopmentContainerization and Orchestration (Docker, Kubernetes)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
PythonNode.jsAWSJenkinsCloudBeesSpinnakerTerraformHelmAnsibleDocker
Soft Skills
CollaborationCommunicationTroubleshootingDebuggingIncident Resolution
Tools & Technologies
Cloud PlatformsCI/CD ToolsPlatform Automation ToolsDistributed SystemsObservability Tools
Industry Keywords
Developer OnboardingPlatform AutomationAI/ML SolutionsAgentic AI SystemsOperational Documentation

Tech Stack

Tools & technologies
AnsibleAWSCloudDistributed SystemsDockerJavaScriptJenkinsKubernetesNode.jsPythonSDLCSpinnakerTerraform

About the role

Key responsibilities & impact
  • Own and drive the architecture and evolution of developer onboarding and enablement platforms
  • Standardize and improve service deployment processes across application teams
  • Accelerate onboarding and deployment timelines through scalable platform automation
  • Design and implement cloud-native automation to reduce manual effort across onboarding workflows
  • Build and support developer enablement tooling and internal platform services
  • Provide hands-on technical guidance and support for developers using internal platforms
  • Troubleshoot complex platform and integration issues across distributed systems
  • Collaborate with application and platform teams to ensure evolving developer needs are met
  • Design and implement AI/ML and agentic AI solutions to automate onboarding, enhance troubleshooting, and improve developer self-service capabilities
  • Apply AI-driven automation to improve platform efficiency, reliability, and developer experience at scale
  • Define and contribute to technical roadmap planning for platform modernization and automation initiatives
  • Create and maintain high-quality technical documentation, runbooks, and enablement materials
  • Stay current with emerging technologies in cloud platforms, AI/ML, and agentic AI systems

Requirements

What you’ll need
  • Bachelor’s or Master’s degree in Computer Science or related field
  • 8+ years of experience building scalable cloud-native applications using Python, Node.js, or similar frameworks
  • 8+ years of experience in cloud platforms (AWS preferred)
  • 8+ years of experience designing and implementing CI/CD pipelines and SDLC automation (Jenkins, CloudBees, Spinnaker, etc.)
  • 8+ years of experience with Infrastructure-as-Code and platform automation tools (Terraform, Helm, Ansible, etc.)
  • Experience with containerized and distributed systems using Docker and Kubernetes
  • Strong understanding of cloud networking, observability, and distributed system design
  • Strong troubleshooting, debugging, and incident resolution skills
  • Experience creating operational documentation (runbooks, engineering guides, system design docs)
  • Strong collaboration and communication skills across engineering teams
  • Hands-on experience building and deploying production AI/ML systems
  • Experience with agentic AI systems or LLM-based automation workflows (tool use, orchestration, autonomous agents)
  • Proven ability to operate at a Senior Engineer level, combining hands-on execution with architecture ownership and technical leadership.

Benefits

Comp & perks
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Remote work options