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 and on-prem log management into a seamless customer experience. 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:

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:

You have experience building and operating software deployed in customer-managed or on-prem environments, not just SaaS platforms

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

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

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

About Datadog:

Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

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.

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Staff Software Engineer - Logs Observability Pipelines

Job Description

Skills & Requirements