Backend and Data Infrastructure Engineer

About the Role

Femtum operates in an R&D and instrumentation environment where data originates from multiple, heterogeneous sources such as laboratory environments, field deployments, and measurement equipment operated by engineers. A single source is never sufficient to cover reality. The need is to design and build a backend and data infrastructure to collect, store, and exploit this data at scale.

A hybrid profile combining software engineering rigor with data sensitivity. The role involves designing and building the backend and data infrastructure for collecting, storing, and exploiting multi-source data, with a potential evolution towards Data Science responsibilities once the technical foundations are in place. This role acts as a bridge between technical teams (R&D, engineering) and analytical needs.

Responsibilities

• Develop the backend for multi-source data collection and ingestion
• Design and maintain APIs for data collection and exposure
• Structure and optimize PostgreSQL databases
• Manage large data volumes (several GB per day) and design systems capable of scaling
• Deploy and maintain infrastructure on AWS and/or on-premise and implement Infrastructure as Code with Terraform
• Implement and maintain CI/CD pipelines and ensure code robustness and quality
• Implement data pipelines for AI/ML preparation and structure data for BI and machine learning
• Collaborate with R&D teams

Requirements

• Proficiency in C# / .NET and REST API design
• Good experience with PostgreSQL (modeling, optimization) and Entity Framework Core
• Experience with AWS and Terraform (Infrastructure as Code)
• Systems handling large data volumes and scalability challenges
• Experience with CI/CD (GitHub Actions or equivalent)
• Data or ML pipelines (asset)

Profile

• Degree in computer science, software engineering, or related field (Bachelor's to Master's level)
• Minimum 3 years of experience in backend development or data engineering
• Ability to work on complex and unstructured systems
• Ability to communicate with non-technical teams
• Interest in data and artificial intelligence

What We Offer

• Projects where data has a direct impact on the product and decisions
• An environment at the crossroads of R&D, field operations, and engineering
• Opportunities for growth into data science roles
• Freedom to choose the development environment
• Work flexibility (partial or full remote work depending on the position)
• Competitive salary based on experience