Posted:
10/16/2024, 12:55:32 AM
Location(s):
Ile-de-France, France ⋅ Paris, Ile-de-France, France
Experience Level(s):
Junior ⋅ Mid Level ⋅ Senior
Field(s):
IT & Security ⋅ Software Engineering
Pay:
$26/hr or $54,080 total comp
At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
What about Dataiku IT team?
IT Operations are critical to the success of Dataiku employees around the world. The IT Operations Team is responsible for the systems, networks and services that Dataiku employees rely on. Dataiku's current IT Stack is a fast-moving modern environment: (Google Workspace, Slack, Zoom, …). The IT Operations Team is also responsible for our fleet of devices, the MDMs that manage them, and the processes and applications that enable Dataiku employees to work efficiently. This means managing hundreds of devices across multiple operating systems and the ownership of their respective management suites.
How you’ll make an impact
Dataiku is looking for a talented Endpoint Engineer to join the IT Operations Team. We are looking for someone with energy, pragmatism, simplicity, and a strong technology background.
As an Endpoint Engineer, you will be managing the endpoints, applications, MDM tools and infrastructure in place for macOS, Windows, Linux and iOS and Android endpoints to provide employees with a secure and efficient working environment.
Here's a taste of how you can help the team:
What you need to be successful
Website: https://www.dataiku.com/
Headquarter Location: Paris, Ile-de-France, France
Employee Count: 501-1000
Year Founded: 2013
IPO Status: Private
Last Funding Type: Series F
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Big Data ⋅ Data Integration ⋅ Enterprise Software