Site Reliability Engineer (Storage) friendly

Qonto; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote‑first team across Europe

Job summary

Qonto is seeking a Site Reliability Engineer for the Storage team to keep PostgreSQL, Redis, Kafka, and Elasticsearch resilient and available. You’ll own incident response, backup planning, and disaster recovery, while building self‑service tooling for backend teams.

You’ll contribute to how AI agents safely access storage resources and collaborate with a growing team across Europe. This role offers a remote‑first setup and direct impact on banking‑grade infrastructure.

Qualifications

• Production PostgreSQL experience including backups/restores and performance tuning.
• Knowledge of Redis, Kafka or Elasticsearch and ability to learn new systems quickly.
• Practical AI usage to speed up debugging, coding, documentation or operations.
• Interest in safe, traceable AI agent interactions with production systems.
• Experience shipping features for internal platform tools.

Responsibilities

• Operate and safeguard storage infrastructure (PostgreSQL, Redis, Kafka, Elasticsearch) in production.
• Own incident response and root‑cause analysis for storage issues.
• Build banking‑license compliance roadmap with Risk & Compliance.
• Ship code for internal platform APIs and self‑service tooling for storage resources.
• Help shape how AI agents access sensitive systems in a traceable way.

Skills

PostgreSQL production experience

AI in daily workflow

Coding / shipping features

Incident response

Curiosity about AI agents safety

Tools

Redis

Kafka

Elasticsearch

Job description

Company overview

• - 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, as proven by our Net Promoter Score of 75 (more about our culture here).
• - Our journey: Founded 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, of which 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.

Join us as a Site Reliability Engineer on our Storage team to keep the databases Qonto runs on resilient, safe, and always available. You'll operate and improve our banking-grade storage infrastructure - PostgreSQL, Redis, Kafka and Elasticsearch - and help make it self-serve for backend teams, under the guidance of Damien, our Storage Engineering Manager.

Задачи

• Operate and safeguard critical storage infrastructure: You'll run PostgreSQL, Redis, Kafka and Elasticsearch in production, keeping banking-grade data safe and available.
• Own incident response and root‑cause analysis: You'll be the last line of defense when a hard query or performance problem needs solving.
• Build our banking‑license compliance roadmap: You’ll define and prioritize backup and disaster‑recovery scenarios with our Risk & Compliance team.
• Ship code for our internal platform APIs: You’ll build self‑service tooling that lets backend teams spin up storage resources in minutes, not days.
• Help shape how AI agents access sensitive systems: You’ll contribute to making our storage APIs safe and traceable for autonomous agents, not just humans.

Требования

• Solid PostgreSQL production experience: You've operated PostgreSQL in production and know how to investigate performance issues, reason about backups/restores, and make safe changes. Deep mastery is a strong plus, but we don't expect you to be a dedicated PostgreSQL expert from day one.
• Comfortable across the storage stack: You have working knowledge of Redis, Kafka or Elasticsearch, and you pick up new systems fast.
• Practical AI usage in your daily workflow: You already use AI to speed up debugging, coding, documentation or operational work — not as a buzzword, but as a real productivity habit.
• You're also curious about how AI agents can safely and traceably interact with sensitive production systems.
• You write code: You're comfortable shipping features, not just scripts, for the internal platform tools your team builds.
• Calm, rigorous incident response: You've handled production incidents on stateful systems and stay composed when the pressure is on.

Условия

• A team about to raise the bar on resilience: With Qonto's banking-license roadmap underway, you’ll help define how a regulated fintech operates its data.
• Real ownership from day one: You’ll drive your own reliability and disaster‑recovery roadmap, not just execute someone
• A growing team: Storage is scaling toward 5-6 engineers, so there's real room to shape how the team works, not just join it.
• A fully remote-first team: Your teammates are spread across Europe.
• Your future manager: You'll report to Damien Cupif, our Storage Engineering Manager - but don't expect micro-management. Damien started out as a data engineer and naturally pivoted into infrastructure after building the tooling his own data pipelines needed. He sets a clear direction, stays hands-on with his team, and is genuinely invested in how each new hire ramps up and grows. If this sounds like you - even if you don't check every box - we'd love to hear from you.

Company culture

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.

Read our Privacy Notice for full details.

On average, our hiring process lasts 20 working days. More information on our candidate journey here