Staff Software Engineer, Logs Observability Pipelines

Datadog

Hybrid

Quick summary

Work type: Hybrid
Location: —
Salary: $234,000–$300,000 / yr
Posted: 30 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k

This role $267k

$114k most similar roles pay here $320k

This role pays more than 95% of similar roles. Most pay $134,145–$222,000 — the shaded band above. At the midpoint, this role pays about $267k versus about $178k 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 · Staff Software Engineer, Logs Observability Pipelines

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As a Staff Software Engineer at Datadog, you will join the Bring Your Own Cloud (BYOC) Logs team to develop and scale systems that process, route, and store high-volume observability data within customer-managed infrastructure. Day-to-day responsibilities include leading cross-team initiatives, designing reliable software for diverse cloud environments, and improving system performance through capacity planning. You will work hands-on with critical code paths and deployments while mentoring engineers and influencing product strategy. The ideal candidate has extensive experience building software deployed in customer environments, expertise in distributed systems, proficiency in systems-level programming languages like Go or Rust, and familiarity with cloud platforms and Kubernetes in production settings. This role offers a unique opportunity to tackle complex technical challenges at scale within Datadog’s expanding observability platform.

Skills

Go Rust C++ AWS Azure GCP Kubernetes Docker CI/CD Linux PostgreSQL Elasticsearch Prometheus Grafana Git Python

What you'll do

Design and implement high-throughput systems for log processing and routing in customer-managed infrastructures.
Drive cross-team initiatives to deliver complex projects involving multiple engineering teams.
Ensure reliable deployment, upgrades, and secure operation of software in diverse cloud environments.
Improve system performance and cost efficiency through capacity planning and trade-off analysis.
Mentor engineers and contribute hands-on to critical code paths and debugging challenges.

What we're looking for

Significant experience building software for customer deployment and operation in diverse cloud environments.
Strong expertise in distributed systems, scalability, performance optimization, and high-throughput data processing.
Proficiency in systems-level programming languages like Go, Rust, or C++.
Experience with major cloud platforms (AWS, Azure, GCP) and troubleshooting infrastructure issues.
Hands-on experience with containerization and orchestration technologies such as Kubernetes in production.
Track record of leading large cross-functional engineering projects and influencing technical direction.

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