Senior .Net Full Stack Software Engineer (CPQ) at Vendavo

Prague, Prague, Czechia

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

5+ years of experience in backend development using .NET Core / .NET 6+ / .NET 8
Proven experience in migrating legacy systems to modular microservice architectures
Strong grasp of Domain-Driven Design, asynchronous patterns, and event-driven systems
Proficiency with MassTransit and message brokers (Kafka, Azure Service Bus, AWS SQS/SNS)
Solid understanding of data access patterns, caching (e.g., Redis), and database schema evolution (EF Core, migrations)
Experience with Docker, Helm, and Kubernetes deployments
Hands-on experience with React and TypeScript
Ability to modify and extend existing UI components and data flows (especially those based on GraphQL)
Familiarity with GraphQL clients (e.g., Apollo or urql) and REST integration
Familiarity with AWS cloud services (IAM, EKS, S3, Secrets Manager, SQS/SNS)
CI/CD pipeline integration experience (preferably Azure DevOps)
Observability tooling (e.g., OpenTelemetry, Application Insights, Prometheus/Grafana)
Experience working in the CPQ, pricing, or enterprise quoting domain
(Nice to have) Familiarity with federated GraphQL schemas and gateway architectures
(Nice to have) Exposure to IAM and OIDC/OAuth2-based authentication/authorization flows
(Nice to have) Previous involvement in Data Mesh or large-scale data synchronization projects

Responsibilities

Lead refactoring of critical CPQ business logic from SQL Server stored procedures into maintainable, testable .NET application code
Design and implement microservices in .NET 8+, deployed in Kubernetes (EKS) and integrated with AWS infrastructure
Develop robust GraphQL APIs using Hot Chocolate, serving both internal and external clients
Integrate backend services with Kafka-based Data Mesh for real-time inbound/outbound data synchronization
Replace legacy Azure components (e.g., Service Bus, Blob Storage) with AWS-native equivalents (S3, SQS/SNS)
Collaborate with product managers, architects, and engineers across VPP, IAM, and Data Mesh teams
Contribute to React frontend codebase (TypeScript + GraphQL client) when full-stack delivery is required
Uphold high standards in code quality, testing, observability, and performance tuning
Mentor junior developers and participate in design reviews and technical planning

Skills

.NET 8

.NET Core

Kubernetes

EKS

AWS

GraphQL

Hot Chocolate

Kafka

React

TypeScript

SQL Server

Microservices

SQS

SNS

Vendavo

Pricing and sales optimization solutions provider

About Vendavo

Vendavo provides pricing and selling solutions aimed at helping businesses improve their profitability and growth, particularly in the B2B sector. Their software utilizes artificial intelligence to enhance pricing strategies and sales processes, offering tools like pricing guidance, sales strategy services, and Configure Price Quote (CPQ) systems. CPQ systems enable businesses to generate accurate quotes quickly by considering various pricing factors and customer specifics. Vendavo distinguishes itself from competitors through its strong partner network and focus on industries such as metals and mining, ensuring comprehensive support and integration for clients. The company's goal is to empower B2B enterprises to optimize their pricing models and achieve sustainable success.

Denver, ColoradoHeadquarters

1998Year Founded

$50.1MTotal Funding

SERIES_ECompany Stage

Consulting, Enterprise Software, AI & Machine LearningIndustries

501-1,000Employees

Risks

Emerging CPQ vendors like Conga and PROS increase competition.

Shifting pricing authority to sales teams may lead to inconsistent strategies.

Economic volatility demands agile pricing, challenging Vendavo's adaptability.

Differentiation

Vendavo offers AI-driven pricing solutions tailored for B2B enterprises.

Their partnership with SAP enhances their credibility and market reach.

Vendavo's CPQ systems provide precise, customer-specific pricing solutions.

Upsides

Increased adoption of AI-driven pricing boosts Vendavo's market potential.

SaaS-based solutions offer flexibility and scalability for Vendavo's clients.

Channel and partner program enhancements drive growth in manufacturing sectors.

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