Senior Software Engineer, Streaming Platform

Datadog

Hybrid

Quick summary

Work type
Hybrid
Location
Salary
$192,000–$240,000 / yr
Posted
16 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $185k
This role $216k
$136k most similar roles pay here $251k

This role pays more than 74% of similar roles. Most pay $151,475–$217,725 — the shaded band above. At the midpoint, this role pays about $216k versus about $185k 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 132 open roles on FindRole.

Listed pay typically runs $187,000–$240,000 across 66 roles with salary data.

Most-posted roles

View all roles at Datadog

At a glance

TL;DR · Senior Software Engineer, Streaming Platform

As a Senior Software Engineer on the Streaming Platform Client team at Datadog, you will work on building and optimizing Rust client libraries for Java, Go, and Python that handle hundreds of millions of messages per second. Your day-to-day responsibilities include architecting resilient interactions between client libraries and the control plane, pushing performance boundaries in high-throughput streaming systems, and championing developer experience through exceptional support and documentation. You will also lead technical projects across multiple teams, mentor junior engineers, and collaborate on initiatives that span beyond your team’s scope. Ideal candidates are proficient in low-level languages like Rust, passionate about deep-dive investigations for performance optimization, and familiar with large-scale streaming systems such as Kafka. This role is crucial in ensuring Datadog's data pipelines remain robust and efficient, supporting the company's mission to provide trusted infrastructure monitoring solutions globally.

What you'll do

  • Architect and implement resilient interactions between client libraries and the control plane.
  • Optimize high-throughput streaming library for performance and efficiency.
  • Champion developer experience through support, documentation, and troubleshooting.
  • Lead technical projects with end-to-end accountability for delivery and quality.
  • Mentor junior engineers and interns to foster a culture of excellence.
  • Collaborate on cross-team projects beyond your team's scope.

What we're looking for

  • 5+ years of experience in software engineering with a focus on distributed systems.
  • Proficiency in Rust and experience with language bindings (Java, Go, Python).
  • Strong background in performance optimization and debugging complex systems.
  • Experience leading high-stakes technical projects from conception to delivery.
  • Ability to mentor junior engineers and foster a culture of technical excellence.
  • Passion for deep-dive investigations and leveraging AI in development workflows.
  • Direct experience with large-scale streaming systems like Kafka (preferred).

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