Staff AI Engineer - Cloud FinOps | Datadog Careers

Datadog

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$234,000–$300,000 / yr
Posted
15 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $198k
This role $267k
$129k most similar roles pay here $318k

This role pays more than 94% of similar roles. Most pay $159,875–$235,750 — the shaded band above. At the midpoint, this role pays about $267k versus about $198k 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 109 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 58 roles with salary data.

Most-posted roles

View all roles at Datadog

At a glance

TL;DR · Staff AI Engineer - Cloud FinOps | Datadog Careers

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As a Staff Software Engineer on Datadog’s Cloud FinOps team, you will design and evolve internal platforms to provide visibility into the company’s cloud infrastructure costs across AWS, GCP, and Azure. You’ll partner with Finance, Engineering, and Executive Leadership to analyze spend trends and inform strategic decisions, developing scalable models for cost attribution in complex shared infrastructures. Your role involves building forward-looking FinOps capabilities that help teams manage and optimize usage proactively while working cross-functionally to translate infrastructure patterns into actionable insights. This high-impact position requires experience with distributed systems at scale, leading technical initiatives, and influencing senior stakeholders, along with strong communication skills for diverse audiences.

Skills

AWS GCP Azure Python Docker Kubernetes Terraform CI/CD Prometheus PostgreSQL BigQuery Snowflake GitLab Jenkins

What you'll do

  • Design and evolve internal platforms for visibility into cloud infrastructure costs across multiple providers.
  • Analyze cloud spend trends to inform strategic decisions with Finance and Engineering teams.
  • Develop scalable models for cost attribution in complex, shared infrastructure environments.
  • Build forward-looking FinOps capabilities to proactively manage and optimize infrastructure usage.
  • Work cross-functionally to translate system architecture into actionable cost insights for engineering leaders.

What we're looking for

  • Extensive experience designing or operating distributed systems at scale.
  • Proven track record of leading cross-functional technical initiatives and influencing senior stakeholders.
  • Strong communication skills to explain complex technical concepts across engineering, finance, and executive teams.
  • Hands-on experience with cloud infrastructure platforms like AWS, GCP, and Azure.
  • Ability to develop scalable solutions in ambiguous problem spaces for cost efficiency.

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