Engineering Member – Agent Sandboxes

poolside

Building sandbox execution environments for AI research and development at Poolside. Focusing on reliable and performant systems for agent execution on a large scale.

Posted 7/13/2026full-timeRemote • 🇪🇺 Anywhere in EuropeMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing secure, reliable, and performant sandboxed execution environments, with strong programming skills in Go and Python. Proven ability to collaborate across teams and improve the performance of distributed systems.

Highest-signal resume keywords

Go ProgrammingPython ProgrammingDistributed Systems DesignKubernetes ExperienceCI/CD Platform Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Go ProgrammingPython ProgrammingDistributed Systems DesignKubernetesContainer OrchestrationVirtualizationCI/CD DevelopmentMachine Learning Systems Support

Tools & Technologies

AWSGCP

Industry Keywords

Sandboxed Execution EnvironmentAgent Execution EnvironmentPerformance ImprovementReliability Engineering

Tech Stack

Tools & technologies

AWSDistributed SystemsGoGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact

Deliver a secure, reliable and performant sandboxed Agent execution environment to meet both the research and product needs at poolside.
Design and develop a sandboxed execution environment to facilitate Agent research and product development at poolside.
Own the complete development cycle of new features and capabilities in the Agent execution environment.
Collaborate with other teams to discuss, guide and meet their needs in the sandbox and code execution environment.
Continuously improve reliability and performance of the Agent execution environment.

Requirements

What you’ll need

Strong programming skills, especially in Go, Python, or other systems programming languages.
Comfortable with distributed systems. Or have a good reason to be uncomfortable with them. We'd love to hear your battle scars.
Experience in Kubernetes or similar container/vm orchestration systems. Familiarity with public clouds like AWS, GCP, etc.
Experience in designing and building distributed systems.
Experience in virtualization or container runtime.
Experience in building large scale CI/CD platforms.
Plus: Experience building systems to support large scale machine learning workloads

Benefits

Comp & perks

Fully remote work & flexible hours
37 days/year of vacation & holidays
Health insurance allowance for you & dependents
16 weeks of flexible, full-pay parental leave
Company-provided equipment
Well-being, always-be-learning & home office allowances
Frequent team get togethers
Diverse & inclusive people-first culture