DevOps / Infra Lead

Payflows; Paris; Sur place; EUR 90 000 - 120 000; Plein temps

Résumé du poste

Payflows is seeking a senior platform/backend engineer to own and evolve our infrastructure for a fast-growing financial tech product. You will collaborate with product and AI teams to build reliable, observable backend systems that scale with our business needs.

You will drive automation, secure access, and cost efficiency while improving deploys, monitoring, and incident response. This role suits a pragmatic engineer who loves building trustworthy platforms.

Qualifications

• 5+ years of experience in Python or another OOP language.

Responsabilités

• Evolve infrastructure-as-code to add a service, a queue, or a new environment.
• Improve CI/CD pipelines to ship safely and fast, dozens of times a day.
• Investigate production issues: latency spikes, failed deploys, database pressure.
• Strengthen observability with dashboards, alerts, and traces to catch issues early.
• Harden security, secrets management, and access controls.
• Tune cost and performance across the AWS footprint.

Connaissances

Python

Backend APIs

Databases & SQL

Git & Code Review

System Thinking

Outils

AWS

Pulumi

ECS/Lambda

PostgreSQL

GitLab CI

Airflow

Grafana Cloud

Description du poste

Our Vision & Mission

At Payflows, we give finance teams the tools to reclaim their time and energy. Our platform weaves together banking connectivity, payments, AI, and procurement so they can ditch the busywork and focus on what really moves the needle.

Why Join Us?

We’re a small, mighty team who’ve earned our stripes at Airbnb, Luko, BNP Paribas, and Facebook. It’s not always easy—things move fast, and we expect a lot—but if you’re hungry for impact, you’ll find it here.

We’re builders at heart. We move fast, think deeply, ship often — and we’re always hungry to learn more. You\'ll collaborate closely with product and tech to craft elegant backend systems that scale as fast as we do.

What You’ll Do

You’ll own the infrastructure for a product that real finance teams rely on every day.

For us, infrastructure is not just about uptime; it’s about reliability, security, and trust - especially when money and automation are involved. The platform has to be boring in the best possible way: predictable, observable, and safe to deploy to.

• In a typical week, you might:




• Evolve our infrastructure-as-code to add a service, a queue, or a whole new environment.




• Improve our CI/CD pipelines so engineers ship safely and fast, dozens of times a day.




• Investigate a production issue: a latency spike, a failing deploy, a database under load.




• Strengthen observability with dashboards, alerts, and traces, so we catch problems before customers do.




• Harden our security, secrets management, and access controls.




• Tune cost and performance across our AWS footprint.

Your time will be split between building new platform capabilities and making what already exists more reliable. Both matter.

You'll help shape the foundation that everything else stands on: the pipelines, environments, and guardrails that let engineers and our AI agents act safely in production.

You'll work closely with backend, frontend, and the AI team. We expect you to take ownership of the platform and make it more reliable over time, not wait for tickets.

Our current tech reality

Our stack evolves based on our challenges, but we care more about good design than trendy tools

We\'re an AWS shop, and we lean on managed services and infrastructure-as-code so the system is reproducible and easy to reason with. A growing part of our world is making the backend a set of reliable, deterministic tools that AI agents can call, which raises the bar on reliability even further.

• Cloud: AWS




• Infra-as-code: Pulumi (Python)




• Compute: ECS + Lambda, serverless when it makes sense




• Data: PostgreSQL on RDS/Aurora




• CI/CD: GitLab CI




• Orchestration: Airflow (MWAA)




• Observability: Grafana Cloud, CloudWatch, Sentry




• Auth & identity: Cognito, IAM




• Edge & frontend: API Gateway, ALB, AWS Amplify for the web app

Some of this is clean, version-controlled, and reproducible. Other parts grew fast and live a little too much in people’s heads instead of in code. Closing that gap is a big part of why this role exists.

Over the next year, we\'ll focus on:

• Making every environment reproducible from code




• Better observability and alerting, fewer surprises




• Tightening the security and compliance posture that comes with handling enterprise finance data




• Faster, safer deploys




• Keeping AWS costs sane as we scale

Requirements:

What we’re looking for

• 5+ years of experience with Python or any other OOP language




• Backend expertise: APIs, microservices, architecture best practices




• Databases & SQL: Data modeling, query optimization




• Git lover: Comfortable with version control and code reviews




• Pragmatic engineering mindset: Build, test, refine, simplify—smart shortcuts when time is tight

Bonus points if you\’ve worked on:

• B2B SaaS or finance/ERP tools




• BaaS APIs or payment infra




• Serverless, AWS, event-driven architecture exposure

Who\u2019s going to thrive with us

You\'ll probably feel comfortable here if:

• You think in systems and instinctively automate yourself out of repetitive work.




• You treat infrastructure as code, not as pets.




• You stay calm during incidents and are genuinely good at root-causing.




• You care about security, because you\'re handling other people\'s money.




• You are autonomous and take ownership of what you ship.




• You take initiative and lead by example.




• You\'re pragmatic about trade-offs.




• You communicate with kindness and clarity.

You don’t need to know everything about AI - but you must be curious about it and excited to build the reliable foundation that agents run on

What you\'ll get from this role

• Real ownership over the platform the whole company runs on.




• Direct impact on reliability, security, and how fast every engineer can ship.




• A mix of platform building, system design, and reliability work.




• Exposure to real scaling and production challenges.




• The chance to help build the foundation of an agent-driven product from the inside.