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Salary
$81k – $116k per year
Location
Remote/Hybrid (Paris, France)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
Photoroom is an AI-powered photo editing platform and app designed specifically for e-commerce, small businesses, and content creators to generate professional product and portrait photography. Its automated tools instantly remove backgrounds, generate studio-quality artificial scenes, and batch-edit images to create clean, visually engaging media. By simplifying complex photo manipulation into one-tap solutions, the company helps users showcase their products and enhance their brand presence across online storefronts and social platforms.

Overview

Founded in 2019 and part of Y Combinator's 2020 cohort, Photoroom is the leading visual solution for e-commerce. We've raised Series B funding and reached 300+ million users worldwide, processing over 5 billion images annually and serving both small businesses and major enterprises like Amazon, DoorDash, and Decathlon through our mobile app, web platform, and API.

Job Description

We are looking for a Senior Site Reliability Engineer to help scale the AI infrastructure powering Photoroom. You'll own and evolve the systems responsible for serving millions of machine learning inference requests every day, working closely with our ML, Product, Web and Mobile teams to ensure reliability, performance and scalability as we continue to grow.

Responsibilities

  • - Own the Machine Learning Inference Infrastructure at Photoroom, powering millions of AI requests every day across GPU-based systems.
  • - Responsible for the infrastructure that deploys and runs machine learning workloads, partnering closely with ML engineers to ensure services remain reliable, scalable and cost-efficient.
  • - Design and build cloud-agnostic infrastructure solutions that support both current and future AI workloads.
  • - Work across the full infrastructure lifecycle, from architecture and implementation through to monitoring, optimisation and incident management, using tools such as Datadog to maintain system health.
  • - Build and improve systems for load balancing, autoscaling, queuing and workload orchestration, ensuring consistent performance under rapidly growing demand.
  • - Work directly with engineers across ML, Product, Mobile and Web teams to identify bottlenecks, improve deployment workflows and enable faster iteration.
  • - Monitor production systems, analyse usage patterns and make infrastructure decisions based on real-world performance and user impact.
  • - Optional: Participate in the team's on-call rotation to help maintain platform reliability.

Required Skills

  • - Experience designing and operating large-scale distributed systems with high availability and reliability requirements.
  • - Hands-on experience with load balancing, autoscaling, queuing systems and traffic management at scale.
  • - Worked on low-latency, real-time backend systems and understand how to optimise for performance and throughput.
  • - Experience building resilient, redundant infrastructure capable of handling failures gracefully.
  • - Designed and operated platforms that deploy and run containerised workloads at high scale while maintaining an excellent developer experience.
  • - Experience supporting workloads that vary significantly in duration, from milliseconds to several seconds.
  • - Highly pragmatic and focus on delivering business impact quickly, leveraging existing tools and frameworks where appropriate rather than reinventing solutions.
  • - Strong ownership and are comfortable making technical decisions independently while collaborating effectively across teams.
  • - Previously worked in a high-growth startup or similarly fast-moving environment.
  • - Enjoy learning from others, sharing knowledge and contributing to a collaborative engineering culture.
  • - Experience supporting machine learning infrastructure or GPU workloads is a plus, but not required.
  • - Fluent in English (French is not required).

Benefits

  • - Work flexibly from one of our core countries: France, Germany, Italy, Spain, Poland, UK, Ireland or Portugal.
  • - Regular team gatherings, including in-person onboarding in Paris (1-2 weeks), yearly company offsite and team retreat, quarterly in-person meetings (monthly during probation period), and social events such as winter parties and hackathons.
  • - 30 days annual leave plus local public holidays.
  • - Competitive equity package with stock options/BSPCE, giving you ownership in our growing company.
  • - €1,000 one-time home office grant OR €400 per month co-working space stipend.
  • - €1,000 annual learning and development budget for training, courses, books and professional development.
  • - Private health insurance.
  • - Access to personalised mental health support, including 1:1 sessions with therapists or coaches, self-care tools and wellbeing resources via MokaCare.
  • - Sports and cultural activities reimbursement.
  • - Relocation support (up to €10k) available for those choosing to move to France, including apartment-finding assistance and visa support.
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