Mindee is the leading developer tool that powers document understanding. We are looking for our next DevOps Engineer to join our nascent team.

Our mission is to provide developers with an API able to parse any type of document with better than human accuracy. We’re already deployed with top players in France, like Qonto, Spendesk, or Payfit, and are rapidly expanding in Europe and North America. We raised a $14M Series A led by GGV Capital in 2021, just after graduating from Y Combinator (YC).

So, why do we need you?

• Our customer base & tech teams are growing and we count on reliability, continuity, and scalability of our microservices and Deep Learning computation applications 💪
• To teach us something new 🧠— help us ensure we’re using best practices when it comes to our high-observability stack: monitoring, alerting, logging.
• We aimed to have all developers working with local Kubernetes clusters and Lens – so you’ll enable our engineering team 🤝 to code and deliver as close as possible from the production environment.
• We strive for seamless delivery of our applications to production – which means maintaining our automated CI/CD pipelines and supervising 👀 deployments when needed.
• To ensure that systems are safe and secure 🔒— we’ve just implemented SOC-2 and are constantly improving our security practices

A bit more about us….
Our application ecosystem leverages the latest web development paradigms, working among other stacks with modern Python (3.8+), Flask/FastAPI ecosystems, PostgreSQL, Redis, React.js, Docker, Kubernetes, Spinnaker while being agnostic of cloud providers. We use Grafana to monitor hardware/cloud metrics, as well as Sentry & NewRelic for software alerting & diagnostics.

The platform consists of:

• An intuitive and visually rich web platform where you can use or create document parsing endpoints
• A developer REST API handling ~20 000 documents per hour for our worldwide customers 👉create your own account at https://platform.mindee.com and check https://developers.mindee.com for more information.

We’d love to talk to you if you are…

• Experienced (2+ years) in a real production environment for web and/or ML applications Kubernetes & Docker
• Well versed with CI/CD pipelines with Jenkins, Github Action, GitLab, Spinnaker, Argo or similar
• Proficient with industry concepts & tools as AWS, Azure or GCP expert and are a user of basic microservice patterns and cloud applications design
• Experienced maintaining stateful services like Redis or postgreSQL databases and an asynchronous bus like RabbitMQ or similar
• An expert with Spinnaker and Terraform
• Very comfortable in Python
• Fluent in English

You’ll have 3-4 touch points with different members of Engineering Leadership team.

We are still small so we can curate the interview process based on the candidate to make sure we assess the right skills ✨

You will be accompanied through the process by our Talent Acquisition manger to ensure you are fully prepared for each step.

Ultimately, our goal is to have a thorough yet efficient process where you get a good sense of who we are!