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 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.
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.
This is a remote position
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:
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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