(Independent Contractor): Content Maintenance Mentor- Cloud Labs Specialist

About Us

Udacity is now an Accenture company, and exciting things are happening! 🚀 We are on a mission of forging futures in tech through radical talent transformation in digital technologies. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more. Our rapidly growing global organization is revolutionizing how the enterprise market bridges the talent shortage and skills gaps during their digital transformation journey.

Udacity is a pioneer in online technical education, offering high-quality courses across a wide range of disciplines. Our catalog includes short and long programs, Nanodegrees (bundled courses), and content tailored to multiple skill levels, foundational, beginner, intermediate, and advanced as well as business leadership audiences.

To ensure our content remains current, impactful, and industry-aligned, we continuously review and update our courses. We take a data-driven approach to evaluating content quality and identifying outdated material. Key performance metrics, such as student satisfaction, lesson ratings, and page-level feedback, help us determine whether a course requires maintenance. Throughout the year, various courses are kept under active maintenance to ensure they receive timely updates. To do this effectively, we regularly collaborate with expert contractors who help update the course content.

As new needs arise, we contact qualified candidates within our contractor pool to share project details, scope, and timelines. Contractors work closely with a Udacity team member who provides tooling, guidance, and logistical support. In most cases, contractors operate as individual contributors, though they may collaborate with other teams, such as Content Developers, Program Managers, and Learning Architects, to define scope, set priorities, and gather necessary information about the content under maintenance.

About the School of Cloud

We're building a contractor pool of cloud experts to support our School of Cloud. The School of Cloud currently has courses covering the following three cloud providers: AWS, Azure, and GCP. Primary topics include, but are not limited to: Cloud Engineering, Cloud DevOps, Cloud Architect, Site Reliability, Cloud Native Architect, Infrastructure as Code (Terraform, CloudFormation, Ansible, etc.), Kubernetes, Docker, and AI Services on Cloud (Bedrock, SageMaker, Vertex AI, Azure AI Services). 

Understanding Our Learning Infrastructure

To effectively maintain and update our cloud courses, you'll need to understand how students interact with our content. Our courses use two key technologies:

Udacity Workspaces
For practitioner content, we provide in-classroom workspaces so students don't need to install or purchase any tools or set up environments locally. These workspaces are Docker containers running in Kubernetes, and students access them directly in the classroom page through their browser. There are different types: Jupyter, VS Code, SQL, and Web Terminal. These workspaces need continuous updates and patching, and the exercises/project starter code must be updated to remain compatible with the updated workspace.

Udacity Cloud Labs
We also provide  temporary access to various cloud services providers via Cloud Labs. Cloud Labs are federated accounts allowing students to use AWS Console, GCP Console, or Azure Portal using temporary credentials. These cloud labs are pre-configured with RBAC and policies. Sometimes, we pre-create several resources via Infrastructure as Code to provision the resources required for an exercise or project.

If you thrive on challenges, want to make an impact, and are interested in joining our contractor community, we encourage you to read on and apply.

JOIN THE TEAM TODAY

Required skills/qualifications: 

• Expertise with popular AWS, Azure, and GCP services, including AI services
• Advanced knowledge of Infrastructure as Code tools (Terraform, CloudFormation, Ansible)
• Strong experience writing Dockerfiles, Makefiles, and shell scripts
• Hands-on experience with Kubernetes
• Deep understanding of cloud security, including IAM policies, Azure RBAC, and GCP Identity Management
• Proven ability to create and configure AMIs, VM images, and container images
• Experience with Linux system administration and package management
• Proficiency in setting up and configuring development environments and toolchains
• Strong automation skills and ability to build reproducible infrastructure
• Experience with CI/CD pipelines and deployment autom