Software Engineer - C# Backend Platform Engineering

Trimble

Stuttgart, Germany

About the Role

Want to build the data infrastructure that will power the global evolution of digital construction?

The Stuttgart office of Trimble Inc. is looking for a skilled C# Backend Platform Engineer with a strong foundation in cloud technologies to join our engineering team.

The ideal candidate will design, develop, and maintain backend services that power our scalable, secure, and high-performance geospatial cloud-based applications. You’ll collaborate closely with global, cross-functional teams to deliver robust APIs, efficient data processing pipelines, and seamless integrations across platforms.

Key Responsibilities

Design, develop, and maintain geospatial backend services using C# (.NET Core/.NET 6+);
Build and optimize cloud-native geospatial applications leveraging Azure/AWS/GCP services;
Implement RESTful OpenAPI spec APIs, data models, and asynchronous processing systems;
Write Python scripts for automation, testing, data analysis, or integration tasks;
Ensure scalability, reliability, and performance of backend components;
Integrate and manage SQL and NoSQL databases (e.g., SQL Server, PostgreSQL, MongoDB);
Develop and maintain CI/CD pipelines and containerized deployments (e.g., Docker, Kubernetes);
Collaborate with frontend developers, DevOps engineers, and data teams;
Conduct code reviews, write unit/integration tests, and follow best coding practices;
Participate in architectural discussions and contribute to technical design decisions.

Required Skills & Experience

Bachelor’s degree in Computer Science, Engineering, or comparable professional experience;
3+ years of experience in backend development using C# and .NET Core;
Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also considered);
Working knowledge of Python for scripting, automation, or backend logic;
Strong understanding of API design, microservices, and distributed systems;
Familiarity with CI/CD tools (Azure DevOps, GitHub Actions, Jenkins, etc.);
Strong database skills: PostgreSQL, MongoDB, SQL Server or similar;
Experience with version control (Git) and agile development methodologies;
Strong understanding of Linux system administration fundamentals
Familiarity with monitoring and logging tools (Application Insights, ELK, Prometheus, etc.);
Terraform or similar Infrastructure-as-Code experience;
Large scale cloud application experience, with demonstrable ability to troubleshoot and solve production issues.

Preferred Qualifications

Experience with containerization and orchestration (Docker, Kubernetes);
Experience with serverless architectures (e.g., Azure Functions, AWS Lambda);
Knowledge of event-driven systems (Kafka, RabbitMQ, or Azure Service Bus);
Exposure to machine learning pipelines or data engineering using Python and/or Scala/Spark;
Experience with geospatial datatypes (raster, vector, point cloud, mesh).