Staff Software Engineer - Logs Observability Pipelines

Role 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.
• 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:

• You have significant experience building software that is installed, deployed, and operated in customer environments rather than only as a fully managed SaaS service.
• You have strong expertise in distributed systems, including scalability, performance optimization, and high-throughput data processing
• You are proficient in systems-level programming (e.g., Go, Rust, or C++) and understand how software runs across diverse environments (e.g., Linux systems)
• You have experience with cloud platforms (e.g., AWS, Azure, or GCP) and are comfortable troubleshooting infrastructure and networking issues
• You are experienced with containerization and orchestration technologies such as Kubernetes in production environments
• You have a track recor