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Senior Software Engineer - Backend & Scalability
Madrid, Spain; Paris, France; Tel Aviv, Israel
·
On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Comprehensive health, dental, and vision insurance
•Generous paid time off and holidays
•Parental leave
•401(k) matching
•Healthcare
•Parental Leave
Required Skills
TypeScript
JavaScript
Node.js
At Datadog, we’re building the platform that enables engineers to monitor, secure, and scale their infrastructure and applications - powering reliability and performance across thousands of companies. We ingest trillions of data points each day and tackle challenges of scale, speed, and resilience.
We’re looking for experienced backend engineers who want to take ownership of critical services and deepen their expertise in distributed systems. Whether you've built APIs, pipelines, or backend tooling, this role is a chance to grow your impact while learning how to design and operate high-scale, high-availability systems that support observability and security products used by engineers around the world.
At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.
What You’ll Do:
-
Design and build reliable backend services that handle high-throughput, globally distributed workloads
-
Own core components that power products relied on by thousands of engineering teams worldwide
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Collaborate with other experienced engineers to evolve system architecture with a focus on scalability and resilience
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Learn and apply distributed systems design patterns in a production setting
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Ship production-grade code in languages like Go, Python, or Java
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Contribute to team culture through code reviews, architecture discussions, and mentorship of peers and junior engineers
Who You Are:
You have 5+ years of experience building backend software in production, using languages like Go, Python, Java, C++, or Rust
You’ve contributed to the design and development of backend services or APIs, and enjoy solving real-world engineering problems
You’ve had some exposure to distributed systems (e.g., fault tolerance, messaging, scalability) and are excited to deepen your expertise
You write clean, maintainable code and approach system design with thoughtfulness and curiosity
You’re collaborative and eager to grow your impact by working on high-scale, high-reliability systems
You’re excited about leveraging AI tools to enhance how you code, solve problems, and build – or eager to learn how
*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. *
Why Join:
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Work with talented engineers who will support your growth in distributed systems and large-scale software design
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Participate in impactful projects from day one with the autonomy to make technical decisions
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Grow your career with access to mentorship programs, internal mobility, and continuous development resources
Benefits and Growth:
New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
Continuous professional development, product training, and career pathing
Intradepartmental mentor and buddy program for in-house networking
An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
Access to Inclusion Talks, our Internal panel discussions
Free, global mental health benefits for employees and dependents age 6+
Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
About Datadog:
Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. 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 2NdZF_65u ZmWUrCM-zee7yADXX1s6Xr9zAGq8iKA/viewform" target="_blank">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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About Datadog

Datadog
PublicAn observability and security platform that offers infrastructure, applications, software development, and monitoring services.
5,001-10,000
Employees
New York
Headquarters
$40B
Valuation
Reviews
3.9
2 reviews
Work Life Balance
2.5
Compensation
3.0
Culture
3.2
Career
3.0
Management
2.8
55%
Recommend to a Friend
Pros
Interesting company and work
International presence outside US
Good for referrals from former colleagues
Cons
On-call rotation requirements
Work-life balance concerns
Timezone synchronization issues
Salary Ranges
55 data points
Junior/L3
Junior/L3 · Data Analyst
1 reports
$172,900
total / year
Base
$133,000
Stock
-
Bonus
-
$172,900
$172,900
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Phone Screen
2
Technical Interview
3
Final Interview
Common Questions
Technical/Coding
Behavioral
System Design
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