Photoroom

Technology

SeniorSiteReliabilityEngineer

€70–100k Paris, France; Germany; Ireland; Italy; Portugal; Spain; United Kingdom; Poland FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Site Reliability Engineer at Photoroom. Skills: Machine Learning Infrastructure, Site Reliability Engineering, Distributed Systems. Own Machine Learning Inference Infrastructure. Evolve systems for ML inference”

What You'll Achieve.

Ensure services remain reliable; Ensure services remain scalable; Ensure services remain cost-efficient; Maintain system health; Ensure consistent performance

Industry & Context.

Technology
Problems you'll solve

Identify bottlenecks; Troubleshooting

Eligibility Requirements

Monthly Paris office visits, On-call rotation

What They're Looking For.

Must Have

Experience designing and operating large-scale distributed systems, Hands-on experience with load balancing, autoscaling, queuing systems, Worked on low-latency, real-time backend systems, Experience building resilient, redundant infrastructure, Designed and operated platforms that deploy and run containerized workloads, Experience supporting workloads that vary significantly in duration, Fluent in English

Nice to Have

Experience supporting machine learning infrastructure, Experience supporting GPU workloads

What You'll Do.

Own Machine Learning Inference Infrastructure

Evolve systems for ML inference

Deploy and run machine learning workloads

Ensure services remain reliable

Ensure services remain scalable

Ensure services remain cost-efficient

Design cloud-agnostic infrastructure solutions

Support current AI workloads

Support future AI workloads

Work across full infrastructure lifecycle

Monitor production systems

Analyse usage patterns

Make infrastructure decisions

Build systems for load balancing

Improve systems for autoscaling

Build systems for queuing

Improve systems for workload orchestration

Ensure consistent performance

Work with engineers across teams

Improve deployment workflows

Enable faster iteration

Participate in on-call rotation

How You'll Work.

Team & Collaboration

ML teams; Product teams; Web teams; Mobile teams; Cross-functional teams

Full Job Description

ABOUT US Founded in 2019 and part of Y Combinator's 2020 cohort, Photoroom https://www.photoroom.com 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. We're a remote-friendly team of 100+ passionate builders giving e-commerce businesses superpowers to create visuals that help them grow, making the hardest parts of selling online disappear. We focus on craft, innovation, and collaboration, creating exceptional impact for e-commerce businesses worldwide. SENIOR SITE RELIABILITY ENGINEER (MACHINE LEARNING INFRASTRUCTURE) 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. Compensation: €70k–€100k* + Stock Options/BSPCE (local currency) Location: Remote with monthly Paris office visits (fully reimbursed). We can hire people already based in selected countries only: France, Germany, Ireland, Italy, Portugal, Spain, UK, Poland. ABOUT THE ROLE - You’ll own the Machine Learning Inference Infrastructure at Photoroom, powering millions of AI requests every day across GPU-based systems. - You’ll be 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. - You’ll design and build cloud-agnostic infrastructure solutions that support both current and future AI workloads. Requests can range from milliseconds to several seconds and process payloads of tens of megabytes. - You’ll work across the full infr

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