Senior Site Reliability Engineer

📋 Description

• Own ML inference infra powering GPU AI requests.
• Deploy and run ML workloads; ensure reliability and scalability.
• Design cloud-agnostic infra for current and future AI workloads.
• Infra lifecycle: architecture, deployment, monitoring, incidents; Datadog.
• Build load balancing, autoscaling, queuing, and orchestration.
• Collaborate with ML, Product, Mobile, and Web teams to speed deployment.

🎯 Requirements

• Experience designing and operating large-scale distributed systems.
• Hands-on with load balancing, autoscaling, queues and traffic management.
• Worked on low-latency real-time backends; optimize perf/throughput.
• Built resilient, redundant infra that handles failures gracefully.
• Designed platforms that deploy containerised workloads at high scale.
• Fluent in English; French not required.

🎁 Benefits

• Work flexibly from core European countries.
• In-person onboarding in Paris; quarterly team meetups.
• 30 days annual leave plus local public holidays.
• Equity package with stock options.
• €1,000 home office grant or €400/month coworking stipend.
• €1,000 annual learning budget and private health insurance.