Senior Software & Data Engineering (M/F)

Job description

→ Your mission

As a Senior Software & Data Engineer, your role will be to design, develop, and industrialize cutting-edge technological and data solutions, serving high-impact AI products.
You will be involved in:

• the development of custom or product software solutions

• the design and industrialization of scalable data architectures

• the implementation of AI and MLOps systems in cloud or on-premise environments

These solutions are part of demanding client projects, as well as the development of our products and our internal stack.

→ Your responsibilities

• Design and develop robust and scalable applications, APIs, and data architectures

• Industrialize data pipelines (ingestion, transformation, streaming, batch) on large volumes

• Participate in the design of AI / GenAI solutions integrated into client products

• Contribute to the implementation and evolution of our MLOps / Data Engineering stack

• Participate in code reviews, challenge implementations, and share best practices

• Take part in agile ceremonies and sprint reviews in direct interaction with clients and product teams

• Mentor and upskill junior profiles (depending on seniority)

• Contribute to R&D, transverse internal projects (OPS, security, tooling, training, innovation)

• Occasionally participate in technical discussions with sales teams (pre-sales / scoping)

   

  Profile sought

  
  We are looking for the perfect match 💓 …but we believe in the richness of encounters! So if you're not sure you match our search, we encourage you to contact us anyway ✉️

   

✅ Must have

• Experience with a programming language (Python, Java, Kotlin, Scala, TypeScript…)

• Solid understanding of software development and how the Web works

• Proficiency in SQL and databases (SQL / NoSQL)

• Experience with backend and/or frontend frameworks (Spring, NestJS, React, Angular, etc.)

• Experience in designing and industrializing data pipelines

• Knowledge of data architectures (data warehouse, data lake, lakehouse)

• Experience with Git and CI/CD tools

• Experience with Docker

   

  🌈 Nice to have

• Knowledge of cloud architectures (AWS, GCP, Azure, OpenStack…)

• MLOps experience (MLflow, DVC, Kubeflow, BentoML, etc.)

• Experience in orchestration / streaming (Kafka, RabbitMQ, Airflow…)

• OPS experience (Kubernetes, Terraform, Ansible…)

• Unit, integration, and load testing (TDD appreciated)

• Knowledge in AI / ML / DL / NLP

• UNIX & Bash knowledge

• Product mindset and client relationship skills

• UX/UI tooling or product design (bonus)

   

🤩 People say about you that…

• You are committed and like to see things through

• You are curious, autonomous, and adaptable

• You enjoy working in a team and sharing your knowledge

• You are comfortable in demanding and fast-evolving environments

• You share our values: trust, empowerment, excellence, innovation