drjobs Senior Software Engineer – Feature Store (AI Platform)

Senior Software Engineer – Feature Store (AI Platform)

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1 Vacancy
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Job Location drjobs

Paris - France

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

At Datadog were building a unified AI Platform that powers ML and LLM applications across our product suite. The Feature Store team is central to this missiondelivering 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.

Were looking for a Senior Software Engineer to design and build the next generation of Datadogs 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.

What Youll Do:

  • Design and build distributed feature pipelines that power both training and low-latency inference use cases.
  • Implement feature versioning cataloging and access management capabilities ensuring traceability and governance across teams.
  • Drive the integration of embedding storage systems (e.g. DDVector) to support scalable training and real-time retrieval.
  • Build tooling to surface feature metadata dependencies and usage analytics to empower discovery and reuse.
  • Partner with training serving and registry teams to deliver seamless integration across the AI Platform lifecycle.
  • Own the operational excellence of your systems through monitoring performance optimization and cost efficiency.

Who You Are:

  • You have 6 years of experience as a data or platform engineer including designing large-scale distributed systems for ML or analytics workloads.
  • Youve built and operated data pipelines or storage systems with technologies like Kafka Snowflake ClickHouse dbt or similar.
  • You are proficient in Python Scala Go or Java and have production experience working in cloud environments (e.g. AWS).
  • You understand data model design and storage formats optimized for ML workflows (e.g. columnar formats LSM trees).
  • You value cross-functional collaboration and can work closely with applied scientists backend engineers and infra teams.
  • Bonus: experience building or operating a feature store embedding database or metadata management platform.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. Thats okay. If youre passionate about technology and want to grow your skills we encourage you to apply.

Benefits and Growth:

  • New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
  • Continuous professional development product training and career pathing
  • Intradepartmental mentor and buddy program for in-house networking
  • An inclusive company culture ability to join our Community Guilds (Datadog employee resource groups)
  • Access to Inclusion Talks our internal panel discussions
  • Free global mental health benefits for employees and dependents age 6
  • Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.


Required Experience:

Senior IC

Employment Type

Full Time

Company Industry

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