Datadog

About Datadog

The cloud monitoring platform engineers love

Key Highlights

  • Public company (NYSE: DDOG) - strong equity upside
  • 26,000+ enterprise customers including Netflix & Samsung
  • NYC headquarters with offices in Paris, Dublin, Sydney
  • $1.5B raised from Sequoia, IVP, and Index Ventures

Datadog (NYSE: DDOG) is a leading cloud observability platform that provides monitoring and analytics for applications, infrastructure, and logs. Trusted by over 26,000 customers including major companies like Netflix, Samsung, and Airbnb, Datadog is headquartered in New York City. The company went ...

🎁 Benefits

Datadog offers competitive salaries, equity options, generous PTO policies, and a flexible remote work policy. Employees also benefit from a learning ...

🌟 Culture

Datadog fosters an engineering-first culture, with 70% of its workforce comprising engineers. The company emphasizes a strong focus on solving complex...

Datadog

Generative Ai Engineer Mid-Level

DatadogMadrid - Hybrid

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Skills & Technologies

Overview

Datadog is hiring a Generative AI Engineer to enhance their observability platform with AI-driven deployment gates. You'll work with Python and machine learning to improve software delivery safety. This role requires experience in AI and CI/CD processes.

Job Description

Who you are

You have a strong background in AI and machine learning, with hands-on experience in building intelligent systems that enhance software delivery processes. Your proficiency in Python allows you to develop robust solutions that leverage data for decision-making. You understand the intricacies of CI/CD pipelines and how observability data can be utilized to ensure safe deployments. You are product-minded, capable of translating complex technical requirements into user-friendly features that improve the overall user experience. You thrive in collaborative environments, valuing the relationships built through teamwork and creativity. You are adaptable and eager to learn, always looking for ways to innovate and improve existing systems.

What you'll do

In this role, you will lead the evolution of Datadog's Deployment Gates, transforming static rules into AI-driven decision-making processes. You will design and implement progressive deployment automation, starting with conservative AI rules and advancing towards adaptive gates that learn from incidents. Your work will involve connecting code changes to production impacts, enabling autonomous remediation by blocking unsafe deployments and proposing fixes. You will collaborate closely with cross-functional teams to ensure that the solutions you develop are reliable and scalable, contributing to the overall success of Datadog's observability platform. You will also engage in problem discovery and UX design, ensuring that the systems you build meet customer needs effectively. Your contributions will directly impact how software is delivered safely to production, enhancing the reliability of cloud applications.

What we offer

Datadog values a hybrid workplace culture that promotes work-life harmony. You will have the opportunity to work in a collaborative environment that encourages creativity and innovation. The role offers competitive compensation and the chance to be part of a team that is at the forefront of AI in observability. You will have access to resources and support that enable you to grow your skills and advance your career within the company. Datadog is committed to fostering a diverse and inclusive workplace where every employee can thrive.

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