Full-Time

Manager I – Engineering

Cloud Platform AWS

Updated on 11/6/2024

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software

Compensation Overview

$187k - $240kAnnually

+ Variable Compensation

Senior

New York, NY, USA

Hybrid workplace.

Category
DevOps & Infrastructure
Site Reliability Engineering
Cloud Engineering
Required Skills
AWS
Requirements
  • experience as a people manager or technical leader with strong mentorship skills
  • experience in career development, performance management, tracking and optimizing team efficiency, OKRs, and hiring
  • worked with cloud technologies in production
  • managed teams that operate distributed systems in production
  • strong understanding of distributed systems architecture
  • experienced with being on-call, leading incident responses, writing post mortems, and driving remediation efforts
  • excellent communication skills, both verbal and written
Responsibilities
  • Lead and mentor a team of 4+ software engineers
  • Drive improvements in the resilience, availability and efficiency of the team’s services
  • Work with engineering and product leaders to define well-prioritized OKRs and roadmaps to maximize the team’s impact
  • Manage large cross-team projects with multiple stakeholders
  • Share on-call responsibilities with the rest of the team and ensure a culture of operational excellence

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

26%

2 year growth

52%
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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