Level: Senior

Job Field: IT, DevOps, Back End

Employment Type: Full Time

Contract Type: Permanent employment

Location: Stuttgart

Working Model: Onsite

Job Summary

In this role, you will design and develop backend services for high-performance, cloud-based geospatial applications, optimizing APIs and data processing systems using C# and cloud-native technologies.

Job Technologies

Your role in the 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.
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).
Zusammenarbeit mit Frontend-Entwicklern, DevOps-Ingenieuren und Daten-Teams.
Conduct code reviews, write unit/integration tests, and follow best coding practices.
Participate in architectural discussions and contribute to technical design decisions.

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Our expectations of you

Education

Bachelor's degree in Computer Science, Engineering, or comparable professional experience.

Qualifications

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.).
Starkes Verständnis der Grundlagen der Linux-Systemadministration.
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.
Familiarity with monitoring and logging tools (Application Insights, ELK, Prometheus, etc.).
Expertise in computer graphics or computer vision, in particular mesh or photogrammetry processing.
Excellent problem-solving and analytical skills.
Strong communication and teamwork abilities.
Self-motivated and proactive with a focus on quality and delivery.
Ability to adapt quickly to new technologies and challenges.

Experience

6+ years of experience in backend development using C# and .NET Core.
Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also considered).
Production experience with PostgreSQL, MongoDB, SQL Server or similar.
Experience with version control (Git) and agile development methodologies.
Terraform or similar Infrastructure-as-Code experience.
Large scale cloud application experience, with demonstrable ability to troubleshoot and solve production issues.
Experience with containerization and orchestration (Docker, Kubernetes).
Experience with serverless architectures (e.g., Azure Functions, AWS Lambda).
Experience with geospatial datatypes (coordinate systems raster, vector, point cloud, mesh).