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Staff Software Engineer - Logs Management

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
Hybrid remote
Benefits
Career Development

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.

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FAQs About Staff Software Engineer - Logs Management Jobs at Datadog

What is the work location for this position at Datadog?
This job at Datadog is located in New York, NY, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Datadog?
Employer has not shared pay details for this role.
What employment applies to this position at Datadog?
Datadog lists this role as a Full-time position.
What experience level is required for this role at Datadog?
Datadog is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Datadog?
You can apply for this role at Datadog either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.