⭐ Mission: Join us as a Staff Site Reliability Engineer to be the strongest technical voice on our Platform Reliability team and help us scale a reliable infrastructure as Qonto grows toward 1 million customers across Europe.

⚡ Impact: As a Staff SRE, you will play a key role in shaping how our platform evolves. Framing complex infrastructure challenges, driving architectural decisions, and enabling the entire tech department to ship faster and more reliably. You'll be a key technical reference, a mentor for junior engineers, and an active contributor to our knowledge-sharing culture

Our SRE department is divided into 2 teams (18 talented engineers): Platform and Storage. You will join the Platform Reliability team, who believe that reliability is built before problems happen, not after.

👩‍💻🧑‍💻 As a Site Reliability Engineer at Qonto, you will

Think big picture: Frame complex infrastructure problems, propose clear solutions, and drive projects end-to-end on your own initiative
Build solid things: Work with backend, data, security, and engineering efficiency teams to design, deploy, and maintain our infrastructure
Write real code: Spend 20 to 40% of your time writing Go services, tools, and APIs, same standards as our backend engineers
Cut out toil: Automate what can be automated, we aim for as little repetitive work as possible
Own observability: Keep the platform visible and debuggable through logs, metrics, and tracing
Be part of on-call: Join the rotation, lead post-incident reviews, and turn incidents into lasting fixes
Help others grow: Share knowledge, challenge ideas, and be someone your teammates can learn from

🛠 What stack you can expect

Cloud services: AWS, EKS

Container technology: Kubernetes, Docker

CI/CD: GitLab CI & ArgoCD

Monitoring: Metrics with Prometheus & Thanos, traces with OpenTelmetry, on-call with OpsGenie, and logs with Elasticsearch & Loki

DB and messaging: AWS RDS PostgreSQL, SQS, Redis, and Kafka

Programming language: Go & Python

Infrastructure as Code: Terraform

🧠 What you can expect

Design robust solutions at real scale : 25k pods, 86 microservices, 1300 deployments per month
Full autonomy to propose and drive your own ideas using lean methodologies and a bottom-up approach
Modern ways of working: GitOps, AI-assisted engineering microservices development, and the freedom to challenge the technical status quo
Deep cross-team collaboration: spec reviews, brainstorming sessions, and problem-solving with backend, data, security, and more

🏅About You

Experience: You have strong hands-on experience with cloud-native infrastructure in production, including managing Kubernetes clusters at scale
Programming skills: You have solid Go experience (or equivalent) and are comfortable building tools, services, and automation, not just config files
AI-driven engineering: You actively use AI tools to move faster, write better code, and solve infrastructure problems more efficiently, and you're curious about what's coming next
Problem solver: You understand the full system before proposing a solution, dependencies, trade-offs, long-term impact. You anticipate problems, you don't just react to them
Team player: You share knowledge naturally, give clear feedback, and help less experienced engineers grow

"At Qonto we understand that true diversity isn't just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick! Who knows? You may have the missing piece of the puzzle we've been searching for all along"