Senior Software Engineer (MLOps) – Training & Registry

Datadog; Valbonne, Paris; Sur place; EUR 60 000 - 100 000; Plein temps

Résumé du poste

A leading technology firm is seeking a Senior Software Engineer (MLOps) to enhance AI infrastructure. You will design robust systems for training orchestration and model management. Candidates should have 6+ years in backend or platform engineering, with expertise in Python/Go and cloud-native tools. Join a collaborative environment focused on innovation and work-life harmony.

Prestations

New hire stock equity (RSUs)

Continuous professional development

Inclusive company culture

Free mental health benefits

Qualifications

• 6+ years of experience in backend, distributed systems, or platform engineering roles.
• Experience on ML platforms or infrastructure, ideally supporting training workflows.
• Fluent in Python or Go; comfortable designing APIs.

Responsabilités

• Design and implement scalable systems for training orchestration and model registration.
• Integrate tooling to improve ML experimentation workflows.
• Develop APIs that enable seamless training jobs tracking.

Connaissances

Backend development

Distributed systems

Platform engineering

API design

Cloud-native tools (Kubernetes, etc.)

Python

Go

Outils

Ray

Airflow

MLflow

Weights & Biases

Description du poste

Senior Software Engineer (MLOps) – Training & Registry

Paris, France; Sophia Antipolis, France

At Datadog, we are building a next-generation AI platform that enables seamless training, tracking, and deployment of ML and LLM models at scale. The Training & Registry team is responsible for the infrastructure and tooling that allows applied scientists to iterate rapidly and reliably—managing training jobs, tracking experimentation, and versioning model artifacts across distributed systems.

Our work is foundational to AI development at Datadog, powering everything from classic ML workflows to large-scale LLM fine-tuning and embedding generation. We build deeply technical infrastructure: distributed systems for job orchestration, model lifecycle management, and training observability. This is a high-impact team working on problems critical to Datadog’s AI evolution.

We’re looking for a Senior Software Engineer to design and build robust backend and platform systems that drive model experimentation and registry workflows. In this role, you'll collaborate with platform teams, applied scientists, and infra stakeholders to shape the future of AI infrastructure at Datadog.

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 You’ll Do:

• Design and implement scalable, reliable systems for training orchestration, artifact tracking, and model registration across multiple data centers and cloud regions.
• Improve and streamline ML experimentation workflows by integrating tooling like Ray, Airflow, and interactive notebooks.
• Develop APIs and services that enable applied scientists to seamlessly launch, debug, and track training jobs.
• Ensure reproducibility and traceability by building robust version control and metadata systems for model artifacts.
• Collaborate with AI infra teams (LLMObs, Compute, etc.) to deliver consistent user experiences and integrated telemetry.
• Mentor engineers and help drive architectural decisions and technical standards.

Who You Are:

• You have 6+ years of experience in backend, distributed systems, or platform engineering roles.
• You have worked on ML platforms or infrastructure, ideally supporting real-world training or model lifecycle workflows.
• You’re comfortable designing APIs, managing data at scale, and architecting systems for reliability and observability.
• You’re fluent in Python or Go and have experience with cloud-native tools (e.g., Kubernetes, object stores, queueing systems).
• You’re comfortable navigating cross-functional environments and translating scientific requirements into reliable systems.
• Bonus points: experience with model registries, experiment tracking tools (e.g., MLflow, Weights & Biases), or distributed training frameworks.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re 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+

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

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram , LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.

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