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 Ireland.
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.
Accountabilities:
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.
