Sr. Full Stack Angular / C#/.Net Software Engineer – Product Development – 8020

Raeder Landree, Inc.

Finders of Keepers

DESCRIPTION If you’ve been working in the C# (.NET) ecosystem for at least 7 years, and you enjoy the excitement and responsibility of being part of a team that builds a commercial software product from the ground up. If you write clean, testable, elegant code while embracing the principles of Agile software design and DevOps, then we should talk. If you love new UI technology or mobile platforms, not because ‘everyone is doing it’ but because it is based on rock-solid software design principles, then we think alike! As part of the Product Development team, you will design and develop the next generation of software products and explore cutting edge technologies as part of ongoing R&D to expand the our platform. Work with cross-functional team members to understand the functional and technical product requirements. Document and articulate the proposed design/implementation. Design and implement major functional components. POSITION REQUIREMENTS The successful candidate will have experience that meets most of the following requirements: Bachelor’s or Master’s Degree in Computer Science, Engineering or related field with 10+ years of total experience. Minimum 7 years of C# software development with a team that built a commercial software product. (Combination of C#/Java/C++ with a desire to learn quickly also welcome) Hands on experience with Service Oriented Architectures and building RESTful Web Services. Familiarity with Domain Driven Design is a plus. DevOps mentality. Experience with build/deploy tools. Dedicated mindset for automated testing and performance testing. Hands on experience with relational database technologies like MySQL, Oracle, or MS SQL Server. Familiarity with open source frameworks for DI, ORM, MVC/MVVM. Understanding of modern browser-based JavaScript frameworks such as Angular, Backbone, Ember, React, or Knockout, Bootstrap, HTML5 and CSS3. Exposure to an Agile development environment. Bonus experience: Python, ELK, Machine Learning, Cloud


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