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Software Engineer - Database Reliability - job 2 of 3

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:

Database Reliability Engineers (DRE) build production-ready solutions that our product engineers can use to build developer tools and automation that quickly scale up for use by thousands of customers. This team ensures that our databases are scalable and cost-efficient, giving our engineers the platform they need to operate in a high-volume, low-latency environment that is continuing to double in size. The DRE team works collaboratively with engineers across the company, using their deep systems understanding to respond to infrastructure failures and reduce operational toil for all.

 

Location:

We are a globally distributed team with US Offices in New York (HQ), Boston, and Denver and International Offices in Paris, Dublin, London, Madrid, the Netherlands, and Singapore. About 33% of our engineering team are remote.

 

Datadog values people from all walks of life. We understand that not everyone will meet these requirements on day one. If you’re passionate about reliability engineering and want to grow these skills but don’t meet all of these qualifications, we encourage you to apply.

 

You will:

  • Keep our datastores reliable, available and fast.
  • Respond to, investigate and fix issues, whether it’s deep in the database code or in the client application.
  • Build tooling to minimize customer-facing downtime, and scale up resources on short notice
  • Protect and ensure the consistency of customer data.
  • Work with developers to design data models, and choose the correct datastores, to support orders of magnitude more customer data and traffic.

 

Requirements:

  • 3+ years of experience in software engineering
  • You value correctness and efficiency; you leave no stone unturned when diagnosing production issues
  • You handle infrastructure with code because automation lets you focus on the more difficult and rewarding problems
  • You have production experience with distributed datastores, e.g. Cassandra, Postgres, Kafka, Elasticsearch, Redis

 

Bonus points:

  • You have created tooling for, or submitted contributions to, an open-source datastore
  • You are fluent in Python or Golang

 

This is a remote position

 



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
November 14, 2021

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Startup Mindset
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Growth & Learning
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