MEMBER OF ENGINEERING (AGENT SANDBOXES)

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. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1