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Software Engineer - Logs

About Datadog:


We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.

 

The team:


Our Logs Intake team owns the logs collection agent, intake edge services, processing and enrichment that deliver data to the Datadog logs management application. They build, scale, and operate some of the low-latency, high-throughput data systems that power the growth of our business.

 

The opportunity:


As a Software Engineer for the Logs Intake team, you will work on all the pieces of code from collecting raw logs from our customers to delivering them enriched to our downstream storage and analytics services. You will build distributed, high-throughput and low-latency systems with a strong focus on availability, resilience and durability. Working closely with our product managers to support our variety of customers and data, you will build new features as well scale as our systems for our fast-growing business.

 

You will:


  • Code (Go and Java) new and existing services to scale out our logs intake pipelines
  • Contribute to the design of the logs intake architecture and systems
  • Debug and solve challenging cross-systems issues in production
  • Help improve our engineering tooling and practices

 

Requirements:


  • You have been building applications for 2+ years and know the systems you’ve worked on from top to bottom
  • You have backend programming experience
  • You have architected, built, and operated distributed systems to solve problems at high scale
  • You have a BS/MS/PhD in a scientific field or equivalent experience
  • You want to work in a fast-paced, high-growth startup environment that respects its engineers and customers

 

Bonus points:


  • You've worked at high scale with systems like Redis or Kafka
  • You’ve written your own data pipelines before
  • You have a strong background in statistics
  • You have significant experience with Go or a JVM based language

 

 



Equal Opportunity at Datadog:

Datadog is an Affirmative Action and Equal Opportunity Employer and 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 more. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

 

Your Privacy:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice.

Datadog (NYSE: DDOG) is a prominent global SaaS provider that uniquely balances growth and profitability. It offers cloud-scale monitoring and security by combining metrics, traces, and logs within one platform.

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CULTURE VALUES
Customer-Centric
Rapid Growth
Diversity of Opinions
Reward & Recognition
Friends Outside of Work
Inclusive & Diverse
Empathetic
Feedback Forward
Work/Life Harmony
Casual Dress Code
Startup Mindset
Collaboration over Competition
Fast-Paced
Growth & Learning
Open Door Policy
Rise from Within
BENEFITS & PERKS
Maternity Leave
Paternity Leave
Flex-Friendly
Family Coverage (Insurance)
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Resources
Life insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
401K Matching
Paid Holidays
Paid Sick Days
Paid Time-Off
FUNDING
DEPARTMENTS
TEAM SIZE
DATE POSTED
August 10, 2021

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