Staff Software Engineer - Logs Observability Pipelines

Datadog; New York (NY); On-site; USD 234,000 - 300,000; Full time

Benefits offered by this job

Generous benefits package

New hire stock equity (RSUs)

Continuous career development

Inclusive workplace culture

Fitness reimbursements

Job summary

Datadog seeks a Staff Software Engineer in New York, NY to enhance their BYOC Logs offering. You will lead the architecture and delivery of systems that process high-volume observability data. This role requires experience in software for customer-deployed environments, strong distributed systems knowledge, and proficiency in languages like Go or Rust. The position includes competitive benefits, equitable compensation, and a focus on career development in an inclusive workplace culture.

Qualifications

• Significant experience in software for customer-controlled deployments.
• Strong expertise in distributed systems.
• Proficient in systems-level programming (Go, Rust, or C++).
• Experience with cloud platforms like AWS or Azure.
• Comfortable troubleshooting infrastructure and networking issues.

Responsibilities

• Make deployments feel like a managed product.
• Build and scale high-throughput systems for log processing.
• Lead cross-team initiatives for complex projects.
• Design reliable software for customer-operated clouds.
• Improve system performance and cost efficiency.
• Contribute hands-on to critical code paths.

Skills

Distributed systems

Performance optimization

High-throughput data processing

Systems-level programming (Go, Rust, C++)

Cloud platforms (AWS, Azure, GCP)

Containerization and orchestration (Kubernetes)

Job description

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.

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 record of leading large, cross‑functional engineering efforts and influencing technical direction across teams.

Benefits and Growth

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee‑focused best‑in‑class onboarding
• Internal mentor and cross‑departmental buddy program
• Friendly and inclusive workplace culture

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience.

In addition, Datadog offers a wide range of best‑in‑class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.

The reasonably estimated yearly salary for this role at Datadog is: $234,000—$300,000 USD

Equal Opportunity at Datadog

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.