Staff Software Engineer - Site Reliability

New York, Boston, Denver, Seattle, San Francisco, Remote

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Posted 3 weeks ago

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:

The Site Reliability teams at Datadog are responsible for ensuring that our high-volume, low-latency environments continue to perform around the clock. These teams collaborate closely with our product engineers to ensure that Datadog can monitor millions of servers and containers, ensuring our customers always have dependable and actionable data at their fingertips. You’ll be responsible for shaping the infrastructure of our data-intensive, real-time services as we continue to grow at petabyte scale.

 

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 services reliable, available, fast and cost-efficient.
  • Respond to, investigate and fix service issues, whether they are deep in the OS kernel or in the application code.
  • Build tools and production frameworks to make our engineering team’s lives easier. 
  • Design, build and maintain the infrastructure we need to support orders of magnitude more customers.
  • Guide projects across many areas of organizational scope to drive reliability and resilience best practices.

 

Requirements:

  • 8+ 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're an expert with running large scale distributed compute/storage tools in production, (we use Kubernetes, Cassandra, Postgres, Kafka, Elasticsearch, Redis)
  • You value driving consensus and collaboration through technical expertise and strong communication and project management skills.

 

Bonus points:

  • You have an area of expertise that will level up the team you're joining
  • You’ve worked in a cloud-native or multi-cloud environment (we use AWS, GCP and Azure)
  • You have worked at a company with large scale systems, handling large amounts of data
  • You are fluent in Python, Ruby and Golang

#LI-Remote

 

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.

Job tags: AWS Azure C Elasticsearch GCP Golang Kafka Kubernetes Postgres Python Redis Reliability engineering Ruby
Job region(s): North America Remote/Anywhere
Job stats:  5  2  0
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