Member of Engineering (Agent Sandboxes)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Member of Engineering (Agent Sandboxes) based in Italy.

This is a unique opportunity to contribute to cutting-edge AI infrastructure by building secure and scalable execution environments for next-generation intelligent systems. You will work at the intersection of platform engineering, distributed systems, and machine learning infrastructure, enabling large-scale experimentation and model training. The role focuses on designing highly reliable sandbox environments capable of supporting hundreds of thousands to millions of agent sessions. Working within a collaborative and research-driven environment, you will help shape foundational technologies that accelerate innovation in AI-powered software development. This position is ideal for engineers who enjoy solving complex infrastructure challenges, balancing speed with quality, and building systems that operate at exceptional scale.

The Member of Engineering (Agent Sandboxes) will be responsible for designing, developing, and operating secure execution environments that support advanced AI research and product initiatives.

• Design and implement scalable sandboxed execution environments for intelligent agents and code execution systems.
• Own the full development lifecycle of new features and platform capabilities, from architecture and implementation to deployment and maintenance.
• Collaborate closely with research, engineering, and platform teams to understand requirements and deliver solutions that enable experimentation and product development.
• Continuously improve the reliability, scalability, security, and performance of the sandbox infrastructure.
• Evaluate and implement different isolation techniques, container technologies, and runtime strategies to enhance execution safety and efficiency.
• Develop and optimize systems capable of supporting large volumes of concurrent execution environments.
• Contribute to operational excellence by improving observability, automation, and infrastructure management processes.
• Participate in architectural discussions and provide technical guidance on platform evolution and infrastructure best practices.

Requirements:

The ideal candidate is a strong systems engineer with expertise in distributed platforms, container technologies, and large-scale infrastructure environments.

• Strong programming skills, particularly in Go, Python, or other systems programming languages.
• Solid experience designing, building, and operating distributed systems in production environments.
• Hands-on experience with Kubernetes or similar container orchestration platforms.
• Experience working with cloud environments such as AWS, GCP, or equivalent infrastructure providers.
• Strong understanding of virtualization technologies, container runtimes, and sandboxing techniques.
• Experience building and maintaining large-scale CI/CD systems or developer infrastructure platforms.
• Strong problem-solving abilities with a pragmatic approach to balancing technical quality and delivery speed.
• Self-driven mindset with the ability to adapt priorities in fast-moving and evolving environments.
• Excellent collaboration and communication skills, particularly within cross-functional and distributed teams.
• Experience supporting large-scale machine learning workloads or AI infrastructure is considered a strong advantage.

Benefits:

• Fully remote work environment with flexible working hours.
• Generous time-off policy, including 37 days of vacation and public holidays per year.
• Health insurance allowance for employees and eligible dependents.
• 16 weeks of fully paid parental leave with flexible arrangements.
• Company-provided equipment to support an efficient remote setup.
• Home office, wellbeing, and continuous learning allowances.
• Frequent team gatherings, collaborative off-sites, and in-person events.
• Inclusive, people-first culture that values diversity, curiosity, and collaboration.
• Opportunity to work on highly impactful AI infrastructure projects at the forefront of technological innovation.