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 infrastructure lifecycle, from architecture and implementation through to monitoring, optimisation and incident management, using tools such as Datadog to maintain system health.
You’ll build and improve systems for load balancing, autoscaling, queuing and workload orchestration, ensuring consistent performance under rapidly growing demand.
You’ll work directly with engineers across ML, Product, Mobile and Web teams to identify bottlenecks, improve deployment workflows and enable faster iteration.
You’ll 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.

You have experience designing and operating large-scale distributed systems with high availability and reliability requirements.
You have hands-on experience with load balancing, autoscaling, queuing systems and traffic management at scale.
You have worked on low-latency, real-time backend systems and understand how to optimise for performance and throughput.
You have experience building resilient, redundant infrastructure capable of handling failures gracefully.
You have designed and operated platforms that deploy and run containerised workloads at high scale while maintaining an excellent developer experience.
You have experience supporting workloads that vary significantly in duration, from milliseconds to several seconds.
You are highly pragmatic and focus on delivering business impact quickly, leveraging existing tools and frameworks where appropriate rather than reinventing solutions.
You demonstrate strong ownership and are comfortable making technical decisions independently while collaborating effectively across teams.
You have previously worked in a high-growth startup or similarly fast-moving environment.
You 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.
You are fluent in English (French is not required).

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

Senior Site Reliability Engineer

Key skills