LOADING SYSTEMS APAC

Mô tả Công việc

A bit about us

We're a world-leading smart mobility SaaS tech company with almost 2,000,000 subscribers across 23 countries. Our teams are collaborative, vibrant, and fast-growing, and all team members are empowered with the freedom to influence our products and technology.

Are you curious, innovative and passionate?

Do you take ownership, embrace challenges, and love problem-solving?

We're looking for a Software Developer (C#) who will help us continue to build industry-disruptive tech products and revolutionize the way our customers use technology.

You want to

• Design and develop scalable desktop solutions and Windows services for global use
• Write high-quality code that adheres to coding standards and is performant
• Create and modify functions, stored procedures, and triggers in PostgreSQL
• Experience in Javascript OR Docker is a MUST.
• Be independent and take full responsibility for the development of modules/features
• Work with UX/UI designers to implement user-friendly solutions
• Introduce new technologies into the team based on fit and suitability to deliver a solution
• Be able to deep dive into the technical aspects needed for application optimization

Yêu Cầu Công Việc

You have

• Bachelor's Computer Science degree or equivalent industry experience
• Extensive experience in programming with C# (.Net Framework 4 and above)
• Strong experience in working with Relational Databases, experience in PostgreSQL a plus
• Experience in consuming and feeding Web APIs (SOAP / REST)
• Strong understanding of SQL
• Strong knowledge and understanding of SOLID principles and design patterns
• Experience using source control technologies such as Git and SVN.
• Experience in/with any of the following is a plus:
• Mapping technologies such as Google Maps/OpenStreetMap
• Agile development methodologies
• Performance/analytics tools for desktop applications and services
• Continuous integration software such as TeamCity
• Unit testing, test-driven development, static code analysis