Member of Engineering (Agent Sandboxes)

New
Based in RomaniaFull-TimeMiddle
Salary not disclosed
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Job Details

Required Skills
AWSPythonGCPKubernetesGoCI/CDDistributed Systems

Requirements

  • 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.

Responsibilities

  • 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.
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