Staff Software Engineer - Logs Observability Pipelines [New York]
Datadog · New York City, NY · Dev Eng
About this role
Datadog is hiring a staff-level Staff Engineer in the software engineering function based in New York City, NY. The posting calls out experience with Rust, AWS, GCP, Azure. Compensation is listed at $234,000–$300,000 per year.
- Role
- Staff Engineer
- Function
- software engineering
- Level
- staff
- Track
- Tech leadership
- Employment
- Full-time
- Location
- New York City, NY
- Department
- Dev Eng
More roles at Datadog
Job description
from Datadog careersRole Summary:
Datadog is seeking a Staff Software Engineer to help shape the future of our Bring Your Own Cloud (BYOC) Logs offering by unifying observability pipelines with log management software that customers deploy and manage in their own infrastructure. This role will focus on building and scaling systems that process, route, and store high-volume observability data within customer-managed infrastructure. You will operate as a hands-on technical leader, driving architecture, cross-team delivery, and product direction across a complex and evolving space. This is a high-impact opportunity to influence product strategy, mentor engineers, and solve deeply technical challenges at scale.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You’ll Do:
- Make customer-controlled deployments feel like a managed Datadog product: deployment, upgrades, configuration, observability, diagnostics, reliability, and secure operation across diverse customer cloud environments
- Build and scale high-throughput systems for log processing, routing, and transformation across distributed environments
- Lead cross-team initiatives, aligning engineers, product managers, and stakeholders to deliver complex, multi-team projects
- Design and implement software that runs reliably that customers deploy and operate within their own cloud infrastructure.