Poolside AI, Inc. logo

Member of Engineering (Agent Sandboxes)

Job Overview

Location

Remote (EMEA/East Coast)

Job Type

Full-time

Category

Engineering

Date Posted

July 14, 2026

Full Job Description

📋 Description

  • 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.
  • Strong programming skills, especially in Go, Python, or other systems programming languages.
  • Comfortable with distributed systems.
  • Experience in Kubernetes or similar container/vm orchestration systems.
  • 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.

🎯 Requirements

  • Strong programming skills, especially in Go, Python, or other systems programming languages.
  • Experience in Kubernetes or similar container/vm orchestration systems.
  • Experience in designing and building distributed systems.
  • Experience in virtualization or container runtime.
  • Experience in building large scale CI/CD platforms.

🏖️ Benefits

  • 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

Skills & Technologies

Python
AWS
GCP
Kubernetes
Remote

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Poolside AI, Inc. logo
Poolside AI, Inc.
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About Poolside AI, Inc.

Poolside AI develops and operates a cloud-based platform that turns natural-language prompts into functioning software. Using large-scale language models trained on public and proprietary code, the system autonomously writes, tests, and refines programs, enabling users to create applications, scripts, and data workflows without traditional coding. Founded in 2023 and headquartered in Paris with offices in New York, the company serves individual developers, startups, and enterprise teams seeking faster, more accessible software creation.

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