Staff Infrastructure Engineer - ML Ops, Observability & Cloud

Jobtailor; Paris; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

H Company is seeking an experienced infrastructure engineer to design and manage the systems supporting AI research and product engineering. You will handle training infrastructure, data pipelines, and inference workloads, while enabling robust client-facing APIs and runtimes across multi-tenant and on-prem deployments.

The role emphasizes observability, monitoring, and scalable cloud deployments using containers and IaC tools.

Qualifications

• Observability and monitoring using Datadog, Prometheus, Grafana, and similar tools.
• Proficiency in a modern programming language (Python or JavaScript/TypeScript).
• Experience deploying distributed systems in the cloud (AWS, Azure, GCP).
• Containerization and orchestration with Docker and Kubernetes; infrastructure as code with CDK or Terraform.
• CI/CD management experience (GitHub Actions, GitLab CI, TeamCity).

Responsabilités

• Designing and managing the infrastructure to support Research efforts in Model and Agent development incl. training infrastructure, data pipelines and inference.
• Product Engineering efforts on H Company's agent platform including client-facing APIs and agent runtimes within various deployment scenarios (multi-tenant and on-prem).
• Setup and maintain observability and monitoring strategies.

Connaissances

Observability

Monitoring tools

Python

JS/TypeScript

ML Ops

Data Engineering

Distributed systems

Public cloud

AWS

Azure

GCP

Docker

Kubernetes

Containerization

Infrastructure as Code

CDK

Terraform

CI/CD

Github Actions

Gitlab CI

TeamCity

Outils

Datadog

Prometheus

Grafana

Docker

Kubernetes

CDK

Terraform

Github Actions

Gitlab CI

TeamCity

Description du poste

H Company is seeking an experienced infrastructure engineer to design and manage the systems supporting AI research and product engineering. You will handle training infrastructure, data pipelines, and inference workloads, while enabling robust client-facing APIs and runtimes across multi-tenant and on-prem deployments.

The role emphasizes observability, monitoring, and scalable cloud deployments using containers and IaC tools.