Site Reliability Engineer (Platform)

[OUR MISSION AND CUSTOMERS] We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.7 on Trustpilot, based on 60,000 reviews. Our culture puts customer satisfaction at the core of what we do (more about our culture here).

[OUR JOURNEY] Founded in 2016 and launched in 2017 by Alexandre and Steve, Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. We have been profitable since 2023, and we are just getting started.

[OUR BELIEFS] We hire for skills and potential. With 80+ nationalities, 45% women, and 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit.

[AI AT QONTO] AI is deeply embedded in how we work (here) - Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it.

Location: You can apply to work at Qonto as long as you're living in (or willing to relocate to) either Germany, France, Italy, Serbia, or Spain.

Join us as a Site Reliability Engineer on our Platform SRE team and help keep Qonto fast, reliable and cost-efficient for the businesses that run their finances on it. You'll build and run the infrastructure our product engineers rely on to ship and operate their own services, under the guidance of Matthew, our Lead Platform SRE.

➡️ What you'll do

• Be the first call for engineers: You'll take your turn on duty, answering product engineers' questions in our SRE Help Desk before getting back to your own deliverables.

• Own a domain you care about: You'll grow into an area such as scaling Kubernetes, observability or engineer enablement, and make it yours.

• Level up our microservices architecture: You'll help service teams run their services the same way through our Service Maturity Model initiative.

• Cut costs through automation: You'll write software that scales our resources up and down with customer demand.

• Lay the foundations for our AI software factory: You'll build the infrastructure that lets Qonto's engineers develop with AI at scale.

➡️ What we're looking for

• Collaboration first: You enjoy helping other engineers and teams, even when the question falls outside your own domain.

• Sharp debugging: You've tracked down hard production problems and can explain how you found the cause.

• Solid infrastructure foundations: You've run production workloads on a cloud platform (AWS ideally, GCP also welcome) in a mid-size or large company.

• Comfort with regulation: You've worked where compliance matters, in finance or healthcare for example, and see process as part of the job.

• AI-native workflow: You use AI tools in your daily work and are curious about what they can do for infrastructure and incidents.

➡️ What we can offer you

• A seat at the core of our AI strategy: Your team builds the foundational layer Qonto's AI software factory will run on.

• Scale with real stakes: You'll help Qonto grow to more customers while holding reliability and cost steady, a line few resumes can carry.

• A big thing of your own: Every SRE owns a major project in a domain they pick, backed by three experienced tech leads.

• Hard problems ahead: You'll work on topics like our move from a single region towards multi-region.

➡️ Your future manager

You'll report to Matthew, Lead Platform SRE. He leads by serving: he looks for people who love to help, gives each engineer a big thing to own, and values how you work with others as much as your technical depth.

➡️ Our stack & practices

• Cloud: AWS, currently in a single region as we explore multi-region.

• Application platform: Kubernetes is our core platform for hosting applications.

• Data: Postgres for storage and ClickHouse for data collection, with growing usage.

• Engineering workflow: GitHub for all our code and orchestration.

• AI in infrastructure: We experiment with AI to detect and debug incidents and to manage our response.

➡️ Our methodology

• We value upfront technical design, team code reviews, and smart slicing — quality drives the velocity our customers need.

• Our lean toolbox, Kaizen and PDCA, lets you drive continuous improvement with your peers and manager.

Want to go further? Read about the Qonto Way.

[DIVERSITY] 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.

[HIRING PROCESS DURATION] On average, our hiring process lasts 20 working days. More information on our candidate journey here

[DATA RETENTION] By applying, you agree that Qonto processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. Read our Privacy Notice for full details.

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