Staff Software Engineer - Logs Management

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

Benefits offered by this job

Generous benefits package

New hire stock equity (RSUs)

Employee-focused onboarding

Job summary

Datadog is seeking a Staff Engineer to join the Logs organization, specializing in log ingestion and query performance. The role involves collaborating with Product Managers and mentoring engineers while pushing the boundaries of AI in log management. Ideal candidates will have experience in architecting backend systems and optimizing data pipelines. Datadog fosters a hybrid work environment and offers competitive compensation and benefits, including stock equity and comprehensive health coverage.

Qualifications

• Deep experience architecting and scaling backend systems in data-intensive environments.
• Expertise in optimizing performance for real-time data pipelines.
• Experience in using AI coding tools in day-to-day workflows.

Responsibilities

• Partner with Product Managers to define product requirements.
• Lead the design and execution of log query performance systems.
• Mentor engineers and cultivate a collaborative team culture.

Skills

Architecting and scaling backend systems

Debugging complex systems

Mentorship

Tools

AI agent tools

Job description

We're looking for a Staff Engineer to join the Logs organization at Datadog and help redefine how our customers ingest, query, and derive insights from logs data. In this role, you’ll work closely with Product Managers and customers to drive complex initiatives across ingestion pipelines, search infrastructure, and intelligent log management capabilities - all while pushing the boundaries of what’s possible with AI and distributed systems. You’ll have the opportunity to lead efforts that shape the future of log management.

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

• Partner with Product Managers to define ambiguous product requirements and determine the most impactful solutions for customers
• Lead technical strategy and execution and design systems surrounding log query performance and ingestion at scale.
• Explore and prototype new capabilities and collaborate with peers on initiatives spanning AI-powered log management, security and business operations, advanced query capabilities, and external data sources query capabilities.
• Mentor engineers across levels and contribute to growing a high-performing, collaborative team culture

Who You Are

• You have deep experience architecting and scaling backend systems, with a strong focus on data-intensive or distributed infrastructure
• You excel in ambiguous environments, demonstrating a mix of drive, curiosity and pragmatic decision-making
• You’ve partnered effectively with Product Managers and customers to define product direction and ship impactful features
• You have expertise in debugging complex systems and optimizing performance across real-time data pipelines
• You have experience in using AI agents tools in your day-to-day engineering practices
• You lead by example and enjoy helping others grow through mentorship and collaboration
• You have demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• Bonus: you’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled

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.

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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.