Software Engineer, Deepomatic

€60-75k

SQL

AWS

Docker

Kubernetes

TypeScript

GCP

JavaScript

Python

Bash

Linux

Terraform

Jenkins

Azure

Grafana

Datadog

Senior and Expert level

Paris

More information about location

AI image recognition software

Be an early applicant

AI image recognition software

21-100 employees

B2BArtificial IntelligenceComputer VisionSaaSAutomationNo-Code

Be an early applicant

€60-75k

SQL

AWS

Docker

Kubernetes

TypeScript

GCP

JavaScript

Python

Bash

Linux

Terraform

Jenkins

Azure

Grafana

Datadog

Senior and Expert level

Paris

More information about location

21-100 employees

B2BArtificial IntelligenceComputer VisionSaaSAutomationNo-Code

Company mission

To put quality back at the heart of all the work done in the field to build and maintain the infrastructures of today and tomorrow (internet, renewable energies, mobility, etc.).

Job

Company

Role

Who you are

Fluent written and spoken English
Great human qualities and a love for teamwork
Excellent analytical and problem-solving skills
Excellent oral and written communication skills, able to present technical concepts to non technical profiles and customers
5+ years of proficiency in development
3+ years of professional experience with web frameworks for building both the front-end and back-end and a keen interest to source and learn new frameworks
Professional experience with Python
Professional experience with JavaScript/Typescript
Professional experience with SQL and RDBMS technology (PostgreSQL, SQLite, or similar)
Experience with distributed systems and Docker
Experience with Linux system and bash scripting
Experience with CI/CD tools (e.g., Jenkins, GitHub Actions)
Proven ability to work independently and collaboratively in a remotely-hybrid team environment
Desirable
Master’s degree from an accredited university in Computer Science, Engineering, or a related field; or equivalent industry experience

Desirable

Ideally, you’ll have some of the following:
Professional written and spoken French
Experience with deep learning and/or computer vision
Experience with monitoring and logging tools (e.g., Datadog, Prometeus, Grafana, OpenTelemetry)
Experience working in cloud infrastructure (AWS, GCP, or Azure) and Kubernetes
Experience with an infrastructure management tool like Terraform, CloudFormation, KubeCtl, ArgoCD, Rancher, or Helm
Experience with Enterprise Integration especially web services
Experience working in an agile software engineering environment

What the job involves

We are looking for a versatile Full Stack Engineer with strong DevOps skills to take our AI-powered pole survey platform from prototype to production
You will own the end-to-end lifecycle — designing, building, deploying, testing and maintaining a scalable infrastructure capable of 50k+ daily image analyses —while making critical technical and architectural choices
This role is highly cross-functional and cross-technological; you will collaborate with different teams to integrate the software within the IQGeo product ecosystem and external systems (e.g., Google Maps)
You will be a key technical point of contact for our customers, working directly with them to translate their operational needs into custom, production-ready features or integrations

Our take

Deepomatic understands the growing demand for image recognition software to improve user experience. With the rise of AI, image recognition has become a standard technology in the industry. And Deepomatic has seized this opportunity to help businesses and their partners reduce costs, enhance service quality, and streamline field operations.

It provides a no-code visual automation platform adaptable to diverse needs. This means it can be implemented for different sized companies with varied requirements, with clients including leading operators and owners such as Telecom and Swisscom, as well as a bunch of smaller companies.

Having extended operations to the US market, Deepomatic is now looking to ground itself as the leading platform for image recognition. The company has secured significant funding that it is using to accelerate international expansion in Europe, the US, and South America, as well as invest further in its technology and platform development.

Steph

Company Specialist at Welcome to the Jungle

Insights

19% employee growth in 12 months

Glassdoor (4.4)

Company

Funding (last 2 of 5 rounds)

Nov 2022

$11.8m

SERIES B

Apr 2021

$2.8m

EARLY VC

Total funding: $21.9m

Company benefits

100% health insurance coverage (Alan).
Bicycle expenses covered up to €700 / year (or 75% of the Navigo pass)
Gymlib sports pass
20 days additional paternity leave
Vacation bonus
Lunch vouchers: €11,97 per day
Annual off-site Deepo-seminar

Company HQ

Arts-et-Métiers, Paris, France

Leadership

Augustin Marty

(Co-Founder & CEO)

Previously co-founded MYTAB where they served as an Associate. They also spent 2 years at Vinci Energies as a Business Manager.

Vincent Delaitre

(Co-Founder & CTO)

Obtained a PhD in Computer Vision from ENS Paris before co-founding Deepomatic in 2014.

Aloïs Brunel

(Co-Founder & CPO)

Has a PhD in Computer Science. Previously worked as a Researcher including completing research internships at Ecole Polytechnique and RIMS.

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