Software Engineer - C# Backend Platform Engineering(m/w/x)

Anforderungen

• 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
• 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)
• 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

Aufgaben

• Design, develop, and maintain geospatial backend services using C# (.NET Core / .NET 6+)
• Build and optimize cloud-native geospatial applications leveraging Azure, AWS, or GCP services
• Implement RESTful OpenAPI spec APIs and data models
• Develop 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 like SQL Server, PostgreSQL, and MongoDB
• Develop and maintain CI/CD pipelines and containerized deployments using Docker and Kubernetes
• Collaborate with frontend developers, DevOps engineers, and data teams
• Conduct code reviews and write unit/integration tests
• Participate in architectural discussions and contribute to technical design decisions

Berufserfahrung

Ausbildung

Sprachen

Tools & Technologien