Job Description

Subject Matter Expert- Datadog: Performance monitoring tool

Background:

We are seeking a highly skilled and experienced

Subject Matter Expert (SME) in Datadog

to design and develop high-impact training content focused on performance monitoring, observability, and infrastructure visibility using Datadog. The SME will lead the creation of technical learning materials that enable engineers, DevOps professionals, and IT teams to leverage Datadog for proactive monitoring, troubleshooting, and optimization of complex systems.

Scope of work:

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. Check the codes and technical accuracy before providing the demos for integration. 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.

Required Qualifications:

5+ years of experience in

DevOps, Site Reliability Engineering (SRE), or Infrastructure Monitoring

roles. Hands-on expertise in

Datadog

including setting up monitors, dashboards, integrations, and alerting for various environments (cloud-native, hybrid, microservices). Proficient in cloud platforms such as

AWS, Azure, or GCP

and container orchestration tools (Kubernetes, Docker). Strong understanding of

APM, logging pipelines, observability principles

, and performance optimization strategies. Prior experience designing or delivering technical training or documentation is preferred. Ability to communicate complex technical topics clearly to both technical and non-technical audiences.

Preferred Skills:

Experience with

Terraform, Ansible, or Helm

for infrastructure automation in monitored environments. Familiarity with

Datadog APIs, dashboards as code

, and custom instrumentation using languages such as Python, Node.js, Java, or Go. Experience working with

LMS platforms

, technical writing tools, and lab environments (e.g., Katacoda, Cloud Academy, GitHub Codespaces). Certification in Datadog, DevOps, or cloud architecture is a plus.

Timelines and Payout:

Project start date :

Immediate

Time Availability :

25 hours per course

Job Type :

Part-time, Contract

Work Location :

Remote

Job Type: Part-time

Experience:

DevOps, SRE or Infrastructure Monitoring roles.: 5 years (Preferred) Datadog: 5 years (Preferred)
Work Location: Remote