EngineeringHybrid

Staff Software Engineer - Logs Management

Datadog · Hybrid

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Last seen by MeritLog September 9, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from Datadog's Greenhouse job board and last checked it on September 9, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model: Hybrid
Salary: $244,000 - $305,000
Location: New York, New York, USA
Occupation: Software Developers(O*NET 15-1252.00)
Company website: careers.datadoghq.com

Hiring context

How this role compares at Datadog

Datadog has 457 live roles in MeritLog’s catalog across 13 job families, and 145 of them are in engineering. 6 of those listings publish a pay range, a disclosure rate of 1%.

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Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd 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

What they're asking for

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

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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. #LI-Hybrid 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: $244,000-$305,000 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.

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