We are looking for experienced software engineer/architect to lead CPQ transformation to microservice architecture and move to cloud native infrastructure on Azure while nurturing DevOps culture in the team.
SAP CPQ (Configure Price Quote) is a cloud multi-tenant app that supports B2B sales and generates quotes for customers. CPQ is used by salespeople to configure highly complex products, negotiate discounts and generate PDFs (quotes) that will be sent to clients.
In April 2018 SAP acquired CallidusCloud to add our products to its cloud portfolio.
Our tech stack is ASP.NET MVC, Web API, .NET/.NET Core, Angular, TypeScript, KnockoutJS, RequireJS, Bootstrap, Kafka, Hangfire, Entity Framework and MS SQL.
Our tools and methodology:
Visual Studio, Visual Studio Code, GitHub, TeamCity, Azure DevOps, SonarQube
Slack, Jira, Confluence, Microsoft 365…
Large Scale Scrum (LeSS), Design Thinking, Code Review for every change
We expect you have:
10+ years of experience developing web applications
Excellent software design and architecture skills, deep understanding of software engineering best practices
Excellent knowledge of .NET/C#
Experience with microservice architecture
Strong communication skills and ability to easily lead and coordinate complex project
Dedication to growing other developers
Good English language skills, verbal and written
Azure, K8s and CI tools experience is a plus
Work on challenging cloud project used by biggest companies in the world
Competitive compensation and bonus plan
Private health insurance for you and your family and voluntary private pension
Budget for personal development
100% compensation during maternity leave
Meal allowance, transportation allowance
Regular working hours for a good work-life balance
Cool working space, Monday breakfast and beer on last Friday in the month
CPQ main components:
Quoting engine – fastest calculations on the market check it out
Rule engine – state machine powered by rules defined by end user
Scripting engine (IronPython) – almost as PaaS
Fully customizable UI on tenant level
Dynamic UI driven by metadata and extendable with scripting and rule engine
Word/PDF templating engine – the most efficient on the market
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