Infrastructure Engineer (Platform)

H Company

Paris, France

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

startup.jobs

Tech stack

Application Programming Interfaces (APIs) Amazon Web Services Microsoft Azure Continuous Integration Information Engineering Distributed Systems Github Python (Programming Language) Prometheus TypeScript Datadog Google Cloud

+10 more

Grafana Containerization Gitlab-ci Kubernetes Machine Learning Operations Teamcity Terraform Data Pipelines Docker Programming Languages

Job description

H exists to push the boundaries of superintelligence with agentic AI. By automating complex, multi-step tasks typically performed by humans, AI agents will help unlock full human potential.

H is hiring the world’s best AI talent, seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute.

About the Team: The Infrastructure team aims to make it seamless for our researchers and engineers to access and use the infrastructure they need to do their job.

The team also ensures the underlying infrastructure for our public services is robust, reliable and scalable.

Members of the Infra team are uniquely positioned to impact all areas of H, from building everything from our foundational models to our agents, all the way to our public services., * 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

MUST HAVE
Observability and monitoring (Datadog, Prometheus, Grafana, …)
Good knowledge of a modern programming language (ideally Python or JS/Typescript)
NICE TO HAVE
ML Ops or Data Engineering
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 & conditions

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