Senior Software Engineer (MLOps) – Feature Store

Datadog; Valbonne, Paris; Hybride; EUR 70 000 - 90 000; Plein temps

Résumé du poste

A leading technology firm is seeking a Senior Software Engineer for MLOps to design scalable feature infrastructure. This role requires over 6 years of experience in data engineering and proficiency in technologies like Kafka and Snowflake. You will work in a hybrid model, contributing to an innovative AI Platform and fostering collaboration across teams.

Prestations

New hire stock equity (RSUs)

Continuous professional development

Access to Inclusion Talks

Qualifications

• 6+ years of experience as a data or platform engineer.
• Experience designing large-scale distributed systems.
• Proficient in Python, Scala, Go, or Java.

Responsabilités

• Design and build distributed feature pipelines.
• Implement feature versioning and access management.
• Partner with teams to deliver integration across the AI Platform.

Connaissances

Data pipeline design

Distributed systems

Cloud engineering

Cross-functional collaboration

Outils

Kafka

Snowflake

ClickHouse

dbt

Description du poste

Senior Software Engineer (MLOps) – Feature Store

Paris, France; Sophia Antipolis, France

At Datadog, we’re building a unified AI Platform that powers ML and LLM applications across our product suite. The Feature Store team is central to this mission—delivering infrastructure that allows applied scientists and engineers to build, version, and serve features at scale across both offline training and real-time inference.

Our feature store supports complex data pipelines, embedding storage, and feature discoverability in multi-region production environments. It integrates deeply with our training, experimentation, and model serving workflows, ensuring high availability, low-latency access, and traceable lineage for every feature used in the ML lifecycle.

We’re looking for a Senior Software Engineer to design and build the next generation of Datadog’s feature infrastructure. You will work at the intersection of data engineering, ML infrastructure, and distributed systems to deliver scalable, low-friction solutions used across teams.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.