Staff Software Engineer - Logs Management | 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 $213k
This role $267k
$162k most similar roles pay here $315k

This role pays more than 91% of similar roles. Most pay $177,281–$249,000 — the shaded band above. At the midpoint, this role pays about $267k versus about $213k 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 Software Engineer - Logs Management | Datadog Careers

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As a Staff Engineer in the Logs organization at Datadog, you will collaborate with Product Managers and customers to drive complex initiatives across ingestion pipelines, search infrastructure, and intelligent log management capabilities. Your day-to-day responsibilities include defining ambiguous product requirements, leading technical strategy for log query performance and ingestion at scale, exploring new AI-powered features, and mentoring engineers. You should have deep experience in architecting and scaling backend systems with a focus on data-intensive or distributed infrastructure, expertise in debugging complex systems, and proficiency in using AI tools. This role involves working on large-scale systems that handle real-time data pipelines and requires a strong ability to navigate ambiguous environments while driving impactful solutions for customers.

Skills

Python Go Docker Kubernetes CI/CD Prometheus Grafana PostgreSQL AWS AI_agents Terraform GitLab Jenkins Ansible CloudFormation

What you'll do

  • Define ambiguous product requirements and determine impactful customer solutions.
  • Lead technical strategy for log query performance and ingestion at scale.
  • Prototype new AI-powered log management capabilities and advanced query features.
  • Mentor engineers across levels to foster a high-performing team culture.
  • Debug complex systems and optimize real-time data pipeline performance.

What we're looking for

  • Deep experience in architecting and scaling backend systems for data-intensive or distributed infrastructure.
  • Proven ability to lead technical strategy and execution in complex initiatives involving log query performance and ingestion at scale.
  • Expertise in debugging complex systems and optimizing real-time data pipeline performance.
  • Strong track record of partnering with Product Managers and customers to define product direction and deliver impactful features.
  • Experience in using AI tools for daily engineering practices, contributing to innovative solutions.
  • Demonstrated success in mentoring engineers across levels and fostering a collaborative team culture.

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