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Full-Time

Senior Technical Escalations Engineer

Dbm

Confirmed live in the last 24 hours

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Consulting
Enterprise Software

Compensation Overview

$117k - $138kAnnually

+ Equity + Variable Compensation

Junior, Mid

San Francisco, CA, USA + 1 more

Category
IT Support
System Administration
IT & Security
Required Skills
Python
Java
Zendesk
JIRA
Confluence
Linux/Unix
Requirements
  • Experienced in multi-channel technical support at a SaaS company (2+ years of related experience)
  • An exceptional written and verbal communicator
  • Self-motivated, detail-attentive, and have a desire for continuous learning
  • A critical thinker who defaults to a client-centric approach
  • Able to pick up new skills quickly and come up with creative solutions to complex problems
  • Basic knowledge of Linux
  • Confident in your skills with Python or Go
  • Active contribution to open-source projects (code, bug reports, etc.) and the Engineering Community (Meetups, etc.)
  • Experienced using Zendesk, Jira, Confluence, or similar software
  • Experienced administering a Windows environment, or knowledgeable about the Windows operating system
  • Experience with monitoring Java applications using mBeans
  • CS or Engineering major
Responsibilities
  • Develop technical knowledge related to DBM and serve as a go-to technical resource for all stakeholders
  • Investigate customer escalations, lead technical calls with clients, and handle complex issues about customers' issues in your primary product area
  • Respond to customer inquiries as needed
  • Partner with our Technical Enablement team to maintain documentation and knowledge base articles for a variety of technologies within your area(s) of expertise
  • Prepare the worldwide Technical Support Engineering team for new products and features, ensuring the technical proficiency of the team
  • Run office hours and lead training sessions for the Technical Support Engineering team
  • Work from a Datadog office 3 - 5 days per week

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 health. Datadog's products work by collecting data from different sources within an organization's IT environment, allowing users to visualize and analyze this information in real-time. This helps businesses ensure their systems are running smoothly and efficiently. What sets Datadog apart from its competitors is its wide range of features that cater to different needs, such as cloud migration, DevOps practices, and IoT monitoring, all within a single platform. The company's goal is to support organizations in maintaining optimal performance and security of their IT infrastructure, regardless of their size or industry.

Company Stage

IPO

Total Funding

$147.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

13%

1 year growth

17%

2 year growth

46%
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.