Senior Site Reliability Engineer (AI)

TL;DR

Senior Site Reliability Engineer (AI): Scaling AI infrastructure for machine learning inference requests with an accent on reliability, performance, and scalability of GPU-based systems. Focus on designing cloud-agnostic infrastructure, optimizing load balancing, and ensuring high availability for high-load AI workloads.

Location: Remote from France, Germany, Ireland, Italy, Portugal, Spain, UK, or Poland. Monthly visits to Paris office are required.

Salary: €70k–€100k + Stock Options/BSPCE

Company

Leading visual solution for e-commerce and Y Combinator alum processing over 5 billion images annually.

What you will do

• Own and evolve the Machine Learning Inference Infrastructure powering millions of daily AI requests on GPU-based systems.
• Design and build cloud-agnostic infrastructure solutions supporting diverse AI workload payloads.
• Implement and optimize systems for load balancing, autoscaling, queuing, and workload orchestration.
• Manage the full infrastructure lifecycle from architecture and implementation to monitoring via Datadog and incident management.
• Collaborate with ML, Product, and Web/Mobile teams to identify bottlenecks and improve deployment workflows.

Requirements

• Experience designing and operating large-scale distributed systems with high availability.
• Hands-on expertise in load balancing, autoscaling, and traffic management at scale.
• Experience with low-latency, real-time backend systems and performance optimization.
• Proven track record of operating containerized workloads at high scale.
• Prior experience in a high-growth startup or fast-paced environment.
• English: Fluent (C1) required.

Nice to have

• Experience supporting machine learning infrastructure or GPU workloads.

Culture & Benefits

• Flexible work from selected European countries with regular team gatherings and retreats.
• 30 days annual leave plus local public holidays.
• Competitive equity package (stock options/BSPCE).
• €1,000 one-time home office grant or €400 monthly co-working stipend.
• €1,000 annual learning and development budget and private health insurance.
• Personalized mental health support via MokaCare and sports/cultural reimbursement.

Hiring process

• Screening call with the Talent Manager.
• Technical interview with the Hiring Manager.
• Home technical assignment (under 3 hours) followed by a team review.
• Culture fit interviews and reference check.