Autodesk
Technology
SeniorPlatformEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Platform Engineer at Autodesk. Skills: Platform Engineering, DevOps, Cloud Computing, CI/CD. Design CloudOS features. Develop CloudOS features”
Industry & Context.
Troubleshooting; Problem-solving
On-call rotation, One day onsite
What They're Looking For.
Must Have
Bachelor's degree in Computer Science or Engineering, 5+ years in Platform Engineering, DevOps, or SRE, Solid understanding of CI/CD principles, Experience with at least one major public cloud provider, Proficiency in Python, Go, or Java, Hands-on experience with Docker, Hands-on experience with Kubernetes, Experience with Terraform or CloudFormation, Familiarity with monitoring and observability tools, Troubleshooting and problem-solving skills, Excellent communication and collaboration skills
Nice to Have
Direct experience managing CI/CD pipelines, Experience contributing to open-source projects, AWS expertise, Deep expertise in Kubernetes operations, Experience building internal developer platforms, Familiarity with multi-region cloud architectures, Experience with GitOps workflows
What You'll Do.
Design CloudOS features
Develop CloudOS features
Test CloudOS features
Deploy CloudOS features
Maintain CloudOS features
Enhance CloudOS features
Manage CloudOS infrastructure
Operate CloudOS infrastructure
Ensure infrastructure reliability
Ensure infrastructure scalability
Ensure infrastructure security
Ensure infrastructure cost-efficiency
Develop automation for provisioning
Develop automation for deployment
Develop automation for monitoring
Develop automation for operational tasks
Collaborate with internal teams
Understand CI/CD requirements
Provide support to teams
Evangelize best practices
Implement monitoring solutions
Manage monitoring solutions
Implement logging solutions
Manage logging solutions
Implement alerting solutions
Manage alerting solutions
Contribute to technical documentation
Stay current with industry trends
Participate in on-call rotation
How You'll Work.
Team & Collaboration
Internal engineering teams; Internal application teams
Communication Scope
Technical documentation; Knowledge sharing
Full Job Description
**Job Requisition ID #** 26WD97007 **Position Overview:** Join the team building the platform that powers Autodesk's cloud services. You'll be working on CloudOS, our cutting-edge Continuous Deployment (CD) platform used by our internal cloud engineering teams to get their code safely to production. As a central component of the Autodesk Cloud Developer Platform, CloudOS simplifies and standardizes how teams provision and manage their front-end, back-end, and infrastructure components across multiple global regions. We are seeking a talented and passionate Platform Engineer to join the CloudOS team. In this role, you will be instrumental in designing, building, operating, and scaling the CloudOS platform. You will work closely with internal engineering teams to understand their deployment needs, enhance the platform's capabilities, ensure its reliability, and drive adoption across Autodesk. If you're excited about building robust developer platforms, automating complex workflows, and working with the public cloud using Compute platforms like EC2, ECS and EKS and IaC like Terraform/OpenTofu and [Serverless.com](http://serverless.com/) at scale, this is the role for you. We’re primarily an AWS shop but have workloads on Azure and GCP. **This is a hybrid role with at least one day onsite in the Dublin office.** **Responsibilities:** * Design, develop, test, deploy, maintain, and enhance features and capabilities within the CloudOS platform * Manage and operate the underlying infrastructure for CloudOS, focusing on reliability, scalability, security, and cost-efficiency (leveraging technologies like Kubernetes, AWS/Azure/GCP) * Work extensively with Jenkins, Spinnaker and HarnessCD: configuration, management, upgrades, and potentially contributing improvements upstream or developing custom extensions * Develop automation for provisioning, deployment, monitoring, and operational tasks using scripting (e.g., Python, Go, Java) and Infrastructure-as-Code tools (e.g., Terraf
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