SME FOR AZURE DEVOPS & CLOUD TECHNOLOGIES

We are seeking an experienced Azure DevOps and Cloud Subject Matter Expert (SME) to support the development of high-impact, career-focused content for our Application Lifecycle Management (ALM) and Cloud-Based Testing course series.
The SME must have deep expertise in Azure DevOps, GitHub integration, and cloud testing platforms, with a strong background in both industry practices and technical content development.

QUALIFICATIONS:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field
• 5+ years of hands-on experience with Azure DevOps, GitHub, and cloud-based testing environments
• Proven track record of content development or curriculum design in cloud computing or software engineering
• Strong understanding of Application Lifecycle Management (ALM) and CI/CD pipelines
• Excellent written and verbal communication skills

PREFERRED QUALIFICATIONS:

• Familiarity with e-learning authoring tools and LMS platforms
• Prior experience developing or reviewing content for technical training or certification prep
• Understanding of DevOps workflows, test automation, and cloud deployment models
• Experience working collaboratively with instructional designers or EdTech teams
• Ability to explain technical concepts in a clear, learner-friendly format
  Job Types: Temporary, Contract

Schedule:

• Monday to Friday

Application Question(s):

• How many years of experience do you have in teaching Azure DevOps related courses?
• How many years of experience do you have in developing content for Azure DevOps related courses?
• Do you have any Higher Ed experience?

Work Location: Remot

• Analyze/create learning objectives for each course.
• Review/create Course Outline for each of the courses.
• Review video scripts (7-9 per course) and confirm technical accuracy of the content, suggest edits and updates as required. Incorporate one round of internal and client feedback.
• Provide relevant static or recorded demos/ screencast to be integrated in the videos. Incorporate one round of internal and client feedback.
• In case of AI/software/tool-based courses, suggest relevant freeware. Write/review and test the codes to check.
• Review readings (4-6 per course, each up to 1200 words) and confirm technical accuracy of the content, suggest edits and updates as required. Incorporate one round of internal and client feedback.
• Create hands-on activities (1-2 lab or any other client preferred format) per course. Incorporate one round of internal and client feedback.
• Review practice quiz and graded assessments (5 files, each comprising 5-10 questions) and suggest suitable edits, confirm technical accuracy. Incorporate one round of internal and client feedback.
• Record talking head videos (onsite/virtually on Zoom) for each course. There will be approx 20-25 minutes of video recording involved per course. Incorporate one round of internal and client feedback.
• Provide digital signatures to be included on the client platform.
• For all reviews - validate the content accuracy and provide recommendations/suggestions, write/re-write to fill content gaps as necessary, write/test codes and labs, incorporate 1 round of internal feedback and 2 rounds of client feedback.
• Be available for Client discussions and content discussions as and when required.