
The cloud monitoring platform engineers love
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 ...
Datadog offers competitive salaries, equity options, generous PTO policies, and a flexible remote work policy. Employees also benefit from a learning ...
Datadog fosters an engineering-first culture, with 70% of its workforce comprising engineers. The company emphasizes a strong focus on solving complex...

Datadog • Paris, France; Sophia Antipolis, France
Datadog is seeking a Senior Software Engineer for their AI Platform to design and build scalable tools and infrastructure for AI applications. You'll work with technologies like Python, MLOps, and AWS in a hybrid environment based in Paris or Sophia Antipolis.
You have 5+ years of software engineering experience, particularly in building scalable systems that support machine learning and AI applications. Your expertise in Python and familiarity with MLOps practices enable you to contribute effectively to the development of AI platforms. You understand the intricacies of CI/CD processes and have hands-on experience with containerization technologies like Docker and orchestration tools such as Kubernetes. Your background includes working with cloud services, particularly AWS, and you are comfortable navigating the complexities of distributed systems. You are a proactive collaborator who enjoys working with cross-functional teams, including data scientists and product managers, to drive innovation in AI solutions.
Experience with monitoring and observability tools like Grafana and Datadog is a plus, as is familiarity with Elasticsearch for data indexing and searching. You are always eager to stay updated on the latest trends in AI and machine learning, and you are passionate about sharing knowledge and best practices with your team. You thrive in a hybrid work environment, valuing both in-person collaboration and the flexibility of remote work.
In this role, you will lead the design, development, and deployment of scalable tools and infrastructure that support the efforts of data scientists at Datadog. You will create a development ecosystem that enables rapid experimentation and deployment of algorithms, ensuring that the AI platform remains at the cutting edge of technology. Your responsibilities will include driving the technical growth of machine learning capabilities across all product areas, leveraging your expertise to enhance the overall performance and reliability of AI systems. You will document best practices and share insights across teams, fostering a culture of continuous improvement and innovation.
You will collaborate closely with applied AI teams to deliver large-scale experimentation, training, deployment, and monitoring solutions. Your work will involve building low-latency serving infrastructure that integrates AI features into various Datadog products, ensuring that they meet the high standards expected by users. You will also be responsible for maintaining and optimizing existing systems, troubleshooting issues, and implementing enhancements to improve efficiency and effectiveness.
At Datadog, we value our office culture and the relationships that it fosters. We operate as a hybrid workplace, allowing you to create a work-life harmony that best fits your needs. You will have the opportunity to work with a talented team of engineers and data scientists, contributing to projects that have a significant impact on the future of AI in monitoring and observability. We offer competitive compensation and benefits, along with opportunities for professional growth and development in a supportive environment. Join us in shaping the future of AI technology at Datadog.
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