Staff Software Engineer, Logs Observability Pipelines
Quick summary
- Work type
- Hybrid
- Location
- —
- Salary
- $244,000–$305,000 / yr
- Posted
- 101 days ago
- Freshness
- Confirmed live 2 days ago
Market check
Salary context
How this pay compares to similar roles
This role pays more than 93% of similar roles. Most pay $155,801–$237,262 — the shaded band above. At the midpoint, this role pays about $274k versus about $197k 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 266 open roles on FindRole.
Listed pay typically runs $161,000–$205,000 across 138 roles with salary data.
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TL;DR · Staff Software Engineer, Logs Observability Pipelines
As a Staff Software Engineer - Logs Observability Pipelines, you will join the team to shape the future of Bring Your Own Cloud offerings by unifying observability pipelines with log management software in customer-managed infrastructure. You will act as a hands-on technical leader, driving architecture and cross-team delivery while building high-throughput systems for processing, routing, and transforming data across distributed environments. The role involves making customer-controlled deployments feel like managed products through improved reliability, performance, and cost efficiency. You will work with technologies including Go, Rust, or C++, Linux systems, and cloud platforms such as AWS, Azure, or GCP. Additionally, you will utilize containerization and orchestration tools like Kubernetes to solve complex technical challenges involving high-volume data processing and infrastructure troubleshooting within diverse customer environments to ensure seamless operation of critical code paths.
What does a Software Engineer earn?
Median $197500 from 2196 postings across 133 companies.
Skills
What you'll do
- Build and scale high-throughput systems for log processing, routing, and transformation across distributed environments.
- Develop software that provides a managed experience for customers deploying tools within their own cloud infrastructure.
- Lead cross-team initiatives to align engineers, product managers, and stakeholders on complex projects.
- Improve system performance, scalability, and cost efficiency through trade-off analysis and capacity planning.
- Contribute hands-on code to critical paths and resolve debugging challenges in customer environments.
- Drive technical architecture and product direction for the Bring Your Own Cloud (BYOC) Logs offering.
What we're looking for
- Experience building software installed and operated in customer environments rather than just as managed SaaS.
- Expertise in distributed systems including scalability, performance optimization, and high-throughput data processing.
- Proficiency in systems-level programming languages such as Go, Rust, or C++.
- Knowledge of how software runs across diverse Linux systems.
- Experience with cloud platforms including AWS, Azure, or GCP.
- Ability to troubleshoot infrastructure and networking issues.
- Experience with containerization and orchestration technologies like Kubernetes in production environments.
- Proven track record of leading large, cross-functional engineering efforts and influencing technical direction.
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