Member of Technical Staff – Infrastructure

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Infrastructure Engineer designing and managing research support systems for AI development in a hybrid environment. Collaborating with teams to ensure robust and reliable infrastructure in Paris.

Posted 7/9/2026full-timeParis • 🇫🇷 FranceLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and managing infrastructure for research and product engineering, with a strong focus on observability, monitoring, and deployment of distributed systems in cloud environments. Proficient in modern programming languages and containerization technologies to support efficient data pipelines and agent development.

Highest-signal resume keywords

Observability And MonitoringPython ProgrammingAWS Cloud ArchitectureDocker ContainerizationInfrastructure As Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaScriptTypescriptDatadogPrometheusGrafanaAWSAzureGCPTerraform

Tools & Technologies

DockerKubernetesGithub ActionsGitlab CITeamCity

Industry Keywords

ML OpsData EngineeringDistributed SystemsCICD ManagementClient-Facing APIs

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformGrafanaJavaScriptKubernetesPrometheusPythonTerraformTypeScript

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Observability and monitoring (Datadog, Prometheus, Grafana, …)
Good knowledge of a modern programming language (ideally Python or JS/Typescript)
ML Ops or Data Engineering (Nice to have)
Experience architecting and deploying distributed systems on public cloud (AWS, Azure, GCP)
Containerization and orchestration tools (Docker, Kubernetes, …)
Infrastructure as code (CDK, Terraform, ...)
CICD management experience (Github Actions, Gitlab CI, TeamCity, ...).

Benefits

Comp & perks

Join the exciting journey of shaping the future of AI, and be part of the early days of one of the hottest AI startups
Collaborate with a fun, dynamic and multicultural team, working alongside world-class AI talent in a highly collaborative environment
Enjoy a competitive salary
Unlock opportunities for professional growth, continuous learning, and career development