Training Lab Architect, Cloud Learning Services

6 Months ago • 6-7 Years • DevOps • $129,000 PA - $191,000 PA

Job Summary

Job Description

This role involves designing, building, maintaining, and deprecating learning labs using tools like Git, Markdown, YAML, and Google Cloud Skills Boost. The Training Lab Architect will collaborate with SMEs to create both front-end instructions and back-end code (Java, Javascript, Ruby, Python, Bash, SQL) to ensure learners complete required actions. Responsibilities include partnering with vendors and Google teams, using performance data and feedback to refine processes, and identifying projects focused on process optimization and enhancing the learner experience. The position requires strong coding skills, experience with infrastructure provisioning (Terraform), and experience in a learning/instructional design role.

Must have:

Bachelor's degree or equivalent experience
4+ years coding experience (Java, Javascript, Ruby, Python, Bash, SQL)
2+ years Terraform experience
Experience in instructional design
Google Cloud & Git experience

Good to have:

Google Cloud Architect certification
Terraform certifications
Oracle Cloud Infrastructure (OCI) experience
3+ years Linux (Debian) experience
3+ years Kubernetes experience
Technical solutions consulting experience

Perks:

Bonus
Equity
Benefits

15 skills required

15 skills required for this role

Add these skills to join the top 1% applicants for this job

terraform

ruby

github

python

git

yaml

java

bash

javascript

back-end

kubernetes

front-end

sql

linux

oracle

Job Details

Minimum qualifications:

Bachelor's degree in education or equivalent practical experience
4 years experience writing and maintaining code snippets (e.g., Java, Javascript, Ruby, Python, or Bash), SQL, Google Cloud, and Git.
2 years experience provisioning and maintaining infrastructure with Terraform (infrastructure as code).
Experience as a writer or learning professional (e.g., teacher, curriculum developer, instructional designer, technical writer, etc.)

Preferred qualifications:

Certification in Professional Cloud Architect (Google Cloud), Terraform Associate or Terraform Authoring and Operations Professional (HashiCorp) and Oracle Cloud Infrastructure (OCI).
3 years experience with Linux (Debian preferred).
3 years experience with Kubernetes.
Experience as a Technical solutions consultant.

About the job

In this role, you will work with product/engineering Subject Matter Expert (SMEs) to write both front-end instructions and back-end code (including Markdown, Yet Another Markup Language (YAML), Ruby, Python) to test that learners have completed the required actions. You will work with a team of people to bring your learning to production, including portfolio managers, graphic designers, editors, Quality Assurance.

You will explore innovative new approaches to direct learning and guide other teams in developing their own high-quality labs.The US base salary range for this full-time position is $129,000-$191,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

Design, build, maintain, and deprecate labs using tools like Git, Markdown, Yet Another Markup Language (YAML), and Google Cloud Skills Boost (GCSB) platform technologies.
Develop creative solutions to challenges, ensuring labs remain effective and engaging learning tools.
Partner with vendors, Google teams, and Cloud product SMEs to ensure labs adhere to best practices, style guides, and learning objectives.
Use performance data and user feedback to refine processes, tools, and measure lab success based on learner and organizational goals.
Identify and manage projects focused on process optimization and enhancing the learner experience.