Senior/Staff - Go Backend Engineer - remote friendly

➡️ What you'll do

• Design, build, deploy, and maintain services handling real financial transactions, owning reliability in production, not just at merge time

• Co-own service architecture, resilience, and scalability with respect to Domain-Driven Design principles

• Grow in technical leadership: lead design discussions, anticipate risks, and mentor less experienced engineers

• Drive continuous improvement, from fixing flaky CI to running post-mortems and propagating learnings across the team

• Contribute to discovery, make technical decisions, monitor production performance, and steadily raise quality standards

➡️ What we're looking for

• Technical expertise: Strong backend engineering experience with exposure to large-scale web application architecture and real production constraints

• Stack fluency: You don't need to know our exact stack, but you transfer fast and are comfortable with similar technologies

• Quality-driven: You write tests, set up monitoring, handle incidents methodically, and do root cause analysis

• Ownership mindset: You track impact after release, flag regressions, and improve what's in your scope without being asked

• Team player: You are comfortable working in squad teams with PMs, Designers, and other stacks, and you are fluent in English

➡️ What we can offer you

• Our methodology, the Qonto Way: We value upfront technical design, team reviews, and smart slicing. Quality drives the velocity our customers need

• Autonomy: Our org assigns one team lead per project across stacks, giving your team a clear mission and full autonomy on how it operates

• Continuous improvement: Our lean toolbox, Kaizen, PDCA, lets you monitor and drive improvement collaboratively with your peers and manager

• AI tooling: Each engineer gets access to Cursor or Copilot, and we want people who use AI to raise the bar, not just to go faster

• Our stack: Go and Ruby are our primary languages. Our platform runs on a Kubernetes cluster hosted on AWS, with PostgreSQL as our database of choice. We also use Kafka for event-driven architecture and ELK for logging and auditing, among many other tools and services
  

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

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