Staff Software Engineer - KV Platform
@ Datadog

New York, New York, United States
$267,000
On Site
Full Time
Posted 23 days ago

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XXXXXXXX XXXXXXXXX XXXXXXXXX***** @datadoghq.com
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Job Details

The Opportunity

At Datadog, our KV Platform builds foundational, managed distributed key-value datastores powering core products, new features and critical internal platforms.

What You’ll Do

  • Scale and build the next phase of our rapidly growing datastores.
  • Drive technical direction for systems processing tens of millions of RPS.
  • Collaborate with internal users to build features for key-value access.
  • Design machine learning enabled migration solutions for optimal storage.

Who You Are

  • You ship fast and communicate effectively.
  • You are passionate about data storage and high-scale data modeling.
  • You quickly prototype solutions and balance speed with reliability.
  • You have experience building distributed systems at scale.

Benefits and Growth

Competitive global benefits including stock equity (RSUs), healthcare, dental, parental planning, mental health, 401(k) match, paid time off, fitness reimbursements, and employee stock purchase plan.

About Datadog

Datadog is a global SaaS business with strong growth and profitability focused on solving complexity in the cloud age. Join a people-first community that values diversity, continuous growth and professional development.

Key skills/competency

  • distributed systems
  • datastores
  • key-value
  • scalability
  • API design
  • machine learning
  • data modeling
  • prototype
  • reliability
  • performance
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How to Get Hired at Datadog

🎯 Tips for Getting Hired

  • Research Datadog's culture: Understand their mission and values.
  • Customize your resume: Highlight distributed systems expertise.
  • Prepare for technical interviews: Practice high-scale system design.
  • Emphasize user collaboration: Demonstrate clear communication skills.

📝 Interview Preparation Advice

Technical Preparation

Review high-scale distributed architecture design.
Study key-value datastore implementations.
Practice API design for scale.
Brush up on machine learning migration concepts.

Behavioral Questions

Prepare examples of overcoming project blockers.
Showcase fast communication with teammates.
Describe rapid prototyping experiences.
Explain handling ambiguous project requirements.

Frequently Asked Questions