August 27
🔄 Hybrid – San Francisco
• Design, build, and maintain scalable, highly available and fault-tolerant infrastructures to support our web services and ML workloads • Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.) • Drive continuous improvement in infrastructure automation, deployment, and orchestration using tools like Kubernetes, Flux, Terraform • Collaborate with AI/ML researchers to develop and implement solutions that enable safe and reproducible model-training experiments • Document processes and procedures to ensure consistency and knowledge sharing across the team
• Master’s degree in Computer Science, Engineering or a related field • 5+ years of experience in a DevOps/SRE role • Strong experience with cloud computing and highly available distributed systems • Exposure to site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...) • Experience working against reliability KPIs (observability, alerting, SLAs) • Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes...) • Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...) • Familiarity with infrastructure-as-code tools like Terraform or CloudFormation • Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices • Strong understanding of networking, security, and system administration concepts • Excellent problem-solving and communication skills • Self-motivated and able to work well in a fast-paced startup environment
• Ability to shape the exciting journey of AI and be part of the very early days of one of Europe’s hottest startup • A fun, young, multicultural team and collaborative work environment — based in Paris, London and San Francisco • Competitive salary and bonus structure • Comprehensive benefits package • Opportunities for professional growth and development
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