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DatadogDatadogNew York, NY

Staff Software Engineer – Logs Observability Pipelines

Staff engineer builds and scales high-throughput log processing pipelines for customer-managed infrastructure, focusing on observability data routing and storage. Requires expertise in distributed systems, systems programming (Go/Rust/C++), Kubernetes, and cloud platforms.

234k – 300k/yr
HybridBackend Engineering

About the role

What You’ll Do

  • Drive the architecture and technical direction for unifying observability pipelines and on-prem observability storage into a cohesive BYOC Logs experience
  • 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 within customer-managed infrastructure, including on-prem and cloud environments
  • Improve system performance, scalability, and cost efficiency through thoughtful trade-off analysis and capacity planning
  • Contribute hands-on to critical code paths, debugging, and deployment challenges in customer environments

Who You Are

  • Experience building and operating software deployed in customer-managed or on-prem environments, not just SaaS platforms
  • Strong expertise in distributed systems, including scalability, performance optimization, and high-throughput data processing
  • Proficient in systems-level programming (Go, Rust, or C++) and understand how software runs across diverse environments (Linux systems)
  • Experience with cloud platforms (AWS, Azure, or GCP) and comfortable troubleshooting infrastructure and networking issues
  • Experienced with containerization and orchestration technologies such as Kubernetes in production environments
  • Track record of leading large, cross-functional engineering efforts and influencing technical direction across teams

Skills

GoRustC++KubernetesAWSAzureGCPLinuxDistributed Systems

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