Full-Time

Manager I – Engineering

Dynamic Code Instrumentation

Posted on 11/16/2024

Datadog

Datadog

5,001-10,000 employees

Cloud monitoring and analytics solutions provider

Data & Analytics
Enterprise Software
Cybersecurity

Compensation Overview

$187k - $240kAnnually

+ Variable Compensation

Senior

Boston, MA, USA + 1 more

More locations: New York, NY, USA

Hybrid workplace; in-office presence required.

Category
Backend Engineering
Full-Stack Engineering
Software Engineering
Required Skills
Agile
Python
JavaScript
Ruby
Java
Go
Requirements
  • You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience.
  • You have significant knowledge of the inner working of at least one runtime environment (JVM, Python, .NET CLR, Javascript / v8, Ruby, or Golang / ebpf).
  • You've written high-performance, concurrent applications and squeezed every bit of performance from your system. You've written clean, correct, well-tested, performant, idiomatic code.
Responsibilities
  • Manage the Dynamic Code Instrumentation team (8 runtime engineers), developing their skills and helping advance their careers.
  • Write a significant amount of code for new and existing instrumentations.
  • Work with our security teams to ensure we are delivering a sensitive product with top-notch security.
  • Collaborate with our AI Code Gen team and IDE Integration team to create meaningful new customer experiences.
  • Ensure the team consistently ships high quality code and architecture.
  • Help make sure our instrumentations behave consistently across the different programming languages we support, and are performant and reliable.
  • Run a lightweight agile process to pace and track what we work on and deliver high quality work.

Datadog provides tools for monitoring and managing IT infrastructure in the cloud. Their services help organizations across various industries, such as finance, healthcare, and technology, to ensure their IT systems run smoothly. Datadog's products include application performance monitoring, security monitoring, network monitoring, and log management, among others. These tools work by collecting data from different parts of an organization's IT environment, allowing users to analyze performance, detect issues, and optimize operations in real-time. Unlike many competitors, Datadog offers a wide range of features that cater to specific needs like cloud migration and IoT monitoring, all under a subscription-based model. Their goal is to help businesses maintain efficient and secure IT operations by providing comprehensive monitoring solutions.

Company Stage

IPO

Total Funding

$143.9M

Headquarters

New York City, New York

Founded

2010

Growth & Insights
Headcount

6 month growth

10%

1 year growth

47%

2 year growth

54%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for cloud-native solutions aligns with Datadog's core offerings.
  • Rising adoption of Kubernetes enhances the relevance of Datadog's features.
  • Growing need for synthetic monitoring supports Datadog's service offerings.

What critics are saying

  • Increased competition from new entrants could erode Datadog's market share.
  • Rapid technological advancements may outpace Datadog's current capabilities.
  • Economic downturns could lead to reduced spending on IT infrastructure monitoring.

What makes Datadog unique

  • Datadog offers a comprehensive suite combining APM, infrastructure, and security monitoring.
  • Their Kubernetes Active Remediation feature enhances management of Kubernetes environments.
  • Datadog's Cloud SIEM solution addresses security monitoring in hybrid cloud environments.

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