Quick summary
- Work type
- Hybrid
- Location
- —
- Salary
- $234,000–$300,000 / yr
- Posted
- 18 days ago
Market check
Salary context
How this pay compares to similar roles
This role pays more than 93% of similar roles. Most pay $169,687–$233,725 — the shaded band above. At the midpoint, this role pays about $267k versus about $202k 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 130 open roles on FindRole.
Listed pay typically runs $187,000–$240,000 across 62 roles with salary data.
Most-posted roles
- Technical Support Engineer 1 | Datadog Careers 4
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- AI Research Engineer - Datadog AI Research (DAIR) | Datadog Careers 1
At a glance
TL;DR · Staff Software Engineer - Logs Observability Pipelines | Datadog Careers
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 and high-throughput data processing, proficiency in systems-level programming languages like Go or Rust, and familiarity with cloud platforms and Kubernetes orchestration technologies. This role offers a unique opportunity to tackle complex technical challenges at scale within Datadog’s expanding observability platform.
Skills
What you'll do
- Design and implement high-throughput systems for log processing and routing in customer-managed infrastructures.
- Drive architecture decisions to ensure reliable deployment and operation of software within diverse cloud environments.
- Lead cross-team initiatives, aligning stakeholders to deliver complex projects involving multiple engineering teams.
- Improve system performance and scalability through capacity planning and cost-efficient design choices.
- Mentor engineers and contribute hands-on to debugging and resolving critical issues in customer deployments.
What we're looking for
- Significant experience building software for customer deployment and operation in diverse cloud environments.
- Strong expertise in designing and scaling distributed systems with high-throughput data processing capabilities.
- Proficiency in systems-level programming languages like Go, Rust, or C++ for cross-environment software development.
- Extensive knowledge of major cloud platforms (AWS, Azure, GCP) and containerization technologies such as Kubernetes.
- Proven track record leading large, multi-team engineering projects and influencing technical direction across teams.
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