Enterprise Sales Engineer - Nordics | Datadog Careers

Datadog

Hybrid

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Work type
Hybrid
Location
New York, NY
Posted
17 days ago

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How this pay compares to similar roles

Similar $183k
$133k most similar roles pay here $228k

This listing doesn't post a salary. Most similar roles pay $148,525–$217,050.

Based on 239 similar postings.

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About Datadog

Datadog, Inc. is an American company that provides an observability service for cloud-scale applications, providing monitoring of servers, databases, tools, and services, through a SaaS-based data analytics platform.

Datadog currently has 122 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 62 roles with salary data.

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At a glance

TL;DR · Enterprise Sales Engineer - Nordics | Datadog Careers

We are seeking a mid-level software engineer to join our dynamic development team at Datadog. In this role, you will be responsible for building and maintaining scalable cloud-based monitoring solutions using cutting-edge technologies. Your day-to-day tasks will include developing new features, enhancing existing systems, and collaborating with cross-functional teams to solve complex business problems. Ideal candidates should have experience with Linux, Python development, Kubernetes, and familiarity with major cloud providers such as AWS, GCP, or Azure. This position offers the opportunity to work on large-scale infrastructure projects that impact millions of users globally.

What you'll do

  • Develop and maintain high-quality software using modern programming practices.
  • Troubleshoot and resolve complex technical issues in Linux environments.
  • Write efficient Python code for automation and system integration tasks.
  • Manage containerized applications with Kubernetes and kubectl commands.
  • Deploy and manage cloud infrastructure on AWS, GCP, or Azure platforms.

What we're looking for

  • Proven experience with Linux operating systems.
  • Strong Python development skills for software projects.
  • Familiarity with Kubernetes and kubectl commands.
  • Experience working in cloud environments like AWS, GCP, or Azure.
  • A passion for learning new technologies and tools continuously.

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