Member of Technical Staff – Infrastructure

Responsibilities

• 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

• 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, ...)

Core Competencies

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.