Member of Technical Staff – Infrastructure

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Member of technical staff designing and managing infrastructure for AI research and product engineering. Working with a dynamic team to develop robust and scalable services in a hybrid work environment.

Posted 7/9/2026full-timeLondon • 🇬🇧 United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and managing infrastructure for model and agent development, 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 product engineering efforts.

Highest-signal resume keywords

Observability And MonitoringPython ProgrammingML OpsDistributed Systems ArchitectureContainerization And Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaScriptML OpsData EngineeringDistributed SystemsInfrastructure As CodeCICD ManagementDockerKubernetesTerraform

Tools & Technologies

DatadogPrometheusGrafanaAWSAzureGCPGithub ActionsGitlab CITeamCityCDK

Industry Keywords

Product EngineeringAgent PlatformClient-Facing APIsMulti-Tenant DeploymentOn-Prem Deployment

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
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