Senior Site Reliability Engineer (SRE)

Join our innovative cloud development and operations team as a Senior Site Reliability Engineer (SRE). In this role, you will design, develop, and operate advanced cloud-based AI solutions, focusing on deploying AI infrastructure built on NVIDIA-certified hardware. You will ensure the reliability, security, and performance of container infrastructure while mentoring team members and customers. This is an excellent opportunity to make a significant impact in a rapidly evolving cloud ecosystem.

Contribuer à la conception, au développement et à l'exploitation de solutions d'IA basées sur le cloud, en mettant l'accent sur l'infrastructure d'IA.

Responsibilities

• Assurer la fiabilité, la sécurité et la performance de l'infrastructure des conteneurs, tout en mentorant les membres de l'équipe et les clients.
• Collaborer avec les parties prenantes pour définir des stratégies techniques, résoudre des défis complexes et garantir l'intégration transparente des services cloud et logiciels.

Requirements

• Bachelor's degree in Computer Science or a related field, or equivalent experience
• Demonstrated ability to lead technical tasks and collaborate effectively with diverse teams

Excellent customer-facing communication skills

• Exposure to Golang and working knowledge of other programming languages (Python, JavaScript)
• Strong knowledge of distributed systems, microservices architecture, and CI/CD pipelines
• Ability to travel up to 25% if needed, including internationally

Excellent written and spoken English

• Comfortable making independent judgment calls when working directly with customers, often with limited day-to-day oversight
• 5+ years of professional experience in DevOps, with a strong focus on cloud and infrastructure technologies, including Kubernetes and/or OpenStack
• Exceptional problem-solving and debugging skills across networking and storage (hardware and software), Linux, and Kubernetes, with attention to performance optimization and security
• A commitment to innovation, continuous learning, and delivering high-quality results
• Experience with high-performance data center processing, networking, and storage
• Experience with high-performance computing or GPU infrastructure: GPU scheduling, MIG/vGPU, RDMA/RoCE or InfiniBand fabrics, NVLink, DCGM health-checking, GPU driver/firmware lifecycle or NVIDIA AI Enterprise
• Extensive experience in network and/or storage architecture
• Presence in the open source community including upstream contribution and conference presentations

Preferred

• Prior experience with commercial container and virtual compute infrastructure platforms such as Rancher, Openshift, and VMware