Software Engineer (Backend Focus .NET - CPQ)

Prague · 3+ years experience · Full-time · Hybrid · Posted Oct 9, 2026

At a glance

You will join a people-focused company as a Software Engineer on Vendavo's Enterprise CPQ platform, a greenfield, event-sourced, cloud-native product built on AWS.
This is a backend-focused role centering on event sourcing and CQRS, where services communicate through streamed events rather than shared databases.
You will work with AI coding agents every day as a standard part of how the engineering team ships features.

Build and extend event-sourced .NET services on .NET 10 / ASP.NET Core, deployed to AWS EKS behind an Istio service mesh
Implement aggregates, commands, events and read-model projections using Marten and Wolverine
Implement vertical slices from the event model through to a working feature, including backend handlers, projections, GraphQL API and React screens
Build GraphQL APIs with Hot Chocolate, including filtering, sorting, pagination and multi-tenant request handling
Work with AWS Kinesis streams and Amazon MSK for cross-service integration, designing handlers that are idempotent and safe to replay
Read and update the team's event models, keeping them in step with the code, and participate in modelling sessions
Work with Terraform infrastructure and Helm deployments, and with Azure DevOps pipelines
Use AI coding agents as a normal part of delivery, including shared plugins, repository conventions, and AI-assisted PR review
Contribute to the React 18 and TypeScript frontend when a feature needs full-stack delivery
Contribute to the modernization of established CPQ and Pricepoint products, including moving business logic out of SQL Server stored procedures into maintainable .NET code

3+ years of backend development in modern .NET
Working understanding of Domain-Driven Design and CQRS, with an appetite for event sourcing
Comfort with asynchronous and message-driven code
Solid SQL and relational data modelling
Experience building HTTP or GraphQL APIs
Docker and working familiarity with Kubernetes
Exposure to a major cloud, ideally AWS
CI/CD pipelines and Git-based workflows with PR review
Testing experience with xUnit and integration tests
Regular hands-on use of an AI coding agent on real code

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