Full-Time

Technical Curriculum Developer

Azure and Cloud Platforms

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software

Compensation Overview

$111k - $142kAnnually

Junior, Mid

Remote in USA

Position is remote but New York is listed as a preferred location.

Category
DevOps & Infrastructure
Cloud Engineering
DevOps Engineering
Required Skills
Kubernetes
Microsoft Azure
Puppet
Docker
Terraform
Ansible
Development Operations (DevOps)
Google Cloud Platform
Requirements
  • You are an experienced technical curriculum developer, SRE, or devops professional with two or more years of experience building online learning curriculum, hands-on labs, and instructor-led training material for an engineering and developer audience
  • You have hands-on experience or specialized knowledge and experience in building learning content for SREs and devops professionals (at least Azure but possibly also GCP, Kubernetes, Docker, Terraform, Puppet, Ansible, service mesh, etc.)
  • You have experience and interest in getting involved in training operations (design, efficiency and functionality of the Learning Center and internal tooling)
  • You enjoy transforming dry technical topics into engaging, informative and interesting educational materials
Responsibilities
  • Partner with our Azure-focused engineering and product teams to produce engaging high quality training courses and content for Datadog’s customer and partner curriculums
  • Collaborate with senior team members to evaluate customer training requirements. Turn those requirements into a roadmap with clearly scoped courses and well defined learning paths
  • Create high quality courses that can be delivered both as self paced online programs or instructor-led training
  • Develop supplemental and supporting courseware and documentation, including workshops, hands-on labs, and webinars
  • Create, maintain, and improve the technical systems and environments used in hands-on labs

Datadog provides tools for monitoring and managing IT infrastructure in the cloud. Their services help organizations track various aspects of their operations, including application performance, security, and network activity. Datadog's products work by collecting data from different sources within an organization's IT environment, allowing users to analyze performance metrics and detect issues in real-time. This enables businesses to ensure their systems run smoothly and efficiently. Unlike many competitors, Datadog offers a wide range of monitoring solutions that cater to specific needs, such as cloud migration and IoT monitoring, all within a single platform. The company's goal is to help businesses optimize their IT operations and improve overall performance through effective monitoring and analytics.

Company Stage

IPO

Total Funding

$143.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

16%

1 year growth

36%

2 year growth

55%
Simplify Jobs

Simplify's Take

What believers are saying

  • Datadog's strategic partnerships, such as with JFrog, enhance its platform capabilities and expand its market reach.
  • The launch of new tools like Log Workspaces and Data Jobs Monitoring highlights Datadog's focus on improving user experience and operational efficiency.
  • Significant investments from entities like Riverview Trust Co and participation in funding rounds for AI startups indicate strong financial backing and growth potential.

What critics are saying

  • The competitive landscape in cloud monitoring and analytics is intense, with major players like AWS and Google Cloud posing significant threats.
  • Frequent introduction of new features may lead to complexity and potential integration issues for existing users.

What makes Datadog unique

  • Datadog's comprehensive suite of monitoring tools, including APM, security monitoring, and IoT monitoring, sets it apart from competitors who may offer more limited solutions.
  • Their scalable subscription-based pricing model allows them to cater to both small businesses and large enterprises, providing flexibility that many competitors lack.
  • The recent introduction of features like Live Debugger and Kubernetes Autoscaling demonstrates Datadog's commitment to continuous innovation and addressing real-time operational challenges.

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