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—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.
Students can sign up anytime for a free Datadog Pro account!
The Opportunity:
We’re looking for students to join us to help us collect, aggregate, visualize, and analyze extremely high-scale metrics, logs, and application data. This role will be based in our New York or Boston offices.
In This Role You Will:
Join one of Datadog's software teams and work alongside other engineers to help solve complex problems. Whether you are writing a new integration, building data pipelines, or working with the open source community, our interns are key contributors to our product.
You Are:
Bonus Points:
Why You Should Apply:
As the COVID-19 crisis continues to change globally, our hiring plans will change with it. We are following current company safety guidelines with the goal to hire team members who will work within one of our offices (NYC, Boston, Paris) once it’s safe to do so. We will update all applicants with the appropriate changes when necessary.
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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