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DevOps Engineer

Mindee LogoMindee


Date Posted

16 May, 2023

Salary Offered

Not Specified

Job Type

Full Time

Experience Required

3+ years

Remote Work

Allowed

Stock Options

No

Vacancies

1 available


Mindee is the AI Document Understanding API

We focus on the science, the AI, the deep learning to give software builders and business owners the one API they need to automate the understanding of documents and give their software human-like superpowers.

Our offering is built around three pillars

💻  A product A universal self-service platform where builders can find all the building blocks to train their own models and build their own solution

📦  Use-cases We package the most massive, recurring use cases where we push our technology to the limits of human performances. This is the case for instance in Accounting software, AP Automation or Expense Management for instance, where we power the products of leading SaaS players such as Qonto, Spendesk, Lucca, Payfit and many others

⚙️  Capabilities We serve customers in industries such as Logistics, Healthcare or Finance who needs a tailor-made dedicated AI trained specifically for them

With three offices in San Francisco, Paris and London and customers on every continents, we are expanding globally after raising a $14M Series A led by GGV Capital, just after graduating from Y Combinator (YC). Now is the right time for a motivated candidate to join, take on outsized ownership, and continue to grow with us.

We are looking for our next DevOps Engineer to join our nascent team.

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 (4+ 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

About Mindee

Mindee Logo

AI Document Understanding API

Company Size: 51 - 250 People
Year Founded: 2018
Country: United States

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