Senior Software Engineer - Environments Accelerator | Datadog Careers

Datadog

Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$130,000–$300,000 / yr
Posted
14 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $190k
This role $215k
$110k most similar roles pay here $320k

This role pays more than 68% of similar roles. Most pay $159,500–$221,000 — the shaded band above. At the midpoint, this role pays about $215k versus about $190k for comparable roles.

Based on 240 similar postings.

Employer

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 114 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 56 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer - Environments Accelerator | Datadog Careers

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As a senior engineer on the Environments Accelerator team within Cloud Foundation at Datadog, you will design and build systems to streamline infrastructure provisioning across datacenters, focusing on reducing operational overhead and complexity. Your day-to-day responsibilities include developing tooling for declarative environment bootstrap and orchestration, improving reliability through automation, and collaborating with various engineering teams to create reusable platform primitives. You’ll work extensively with Kubernetes, multi-cloud environments, and Infrastructure as Code (IaC) tools like Terraform, while also contributing to experiments involving ephemeral environments tailored for AI inference workloads. The role requires expertise in Golang or similar languages, Linux, CI/CD systems, and a strong background in distributed systems and internal developer tooling.

Skills

Kubernetes Golang AWS Azure GCP Infrastructure as Code CI/CD Docker Linux Prometheus Terraform PostgreSQL GitOps

What you'll do

  • Design systems to reduce operational overhead in provisioning new infrastructure environments.
  • Develop tooling for declarative environment bootstrap and dependency coordination.
  • Improve reliability of infrastructure provisioning workflows by reducing manual steps.
  • Work across Kubernetes, cloud infrastructure, identity systems, and more.
  • Contribute to experiments on ephemeral environments for scalable AI workloads.

What we're looking for

  • Experience in designing and implementing scalable automation solutions across multi-cloud environments.
  • Proficiency in Golang or similar systems programming languages.
  • Expertise with Kubernetes and container orchestration systems.
  • Strong background in Linux, CI/CD systems, deployment automation, and debugging.
  • Ability to independently drive projects from problem definition through implementation.
  • Comfortable debugging complex distributed systems and infrastructure dependencies.
  • Experience building or operating internal developer tooling and infrastructure platforms.

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