Senior Software Engineer - .NET Engineering
Job Description
We’re looking for a Senior Software Engineer to join the team that powers how .NET ships to the world. You’ll help build and scale the infrastructure behind .NET releases—driving automation, reliability, and visibility across the release lifecycle. This role sits at the core of the .NET ecosystem, where engineering meets infrastructure. You’ll work on high-scale systems that manage release pipelines, dependency flows, and the automated synchronization of one of the largest monorepositories in the world: the .NET VMR.
Locations
- Multiple Locations, Multiple Locations, Czech Republic, Multiple Locations, Multiple Locations, Czech Republic (Remote)
Salary
Salary not disclosed
Required Qualifications
- Demonstrated ability to design and build scalable infrastructure and automation systems (degree)
- Strong proficiency in software engineering using C# (preferred), Java, or other object-oriented programming languages, along with scripting languages such as PowerShell (preferred), Bash, Python, or similar (degree)
- Hands-on experience with Azure Pipelines and related Azure services (Storage, CDN) (degree)
- Solid grasp of CI/CD principles, artifact management, and release automation (degree)
- Passion for clean, maintainable code and engineering excellence (degree)
- Strong problem-solving skills and ability to work across teams (degree)
Responsibilities
- Design and implement resilient infrastructure for building, packaging, and releasing .NET products
- Build internal tools and platforms to manage and track release workflows
- Own and evolve CI/CD pipelines using Azure Pipelines infrastructure
- Integrate Azure services including Storage, CDN, and Azure Container Apps to support global distribution and scalable tooling
- Maintain and enhance the custom dependency flow system for .NET
- Drive automation and reliability across the release lifecycle
- Monitor and troubleshoot release systems to ensure speed, stability, and transparency
- Collaborate with product and engineering teams to ensure seamless delivery
- Experiment with emerging AI techniques and leverage AI-powered tools (e.g., GitHub Copilot) to accelerate engineering workflows and contribute to the development of AI-assisted features.
Travel Requirements
0 days / week in-office - remote
