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EPOS Software Engineer

RemoteSingapore, Central Singapore, SingaporeSoftware Engineering

Job description


We work with engineers who take pride in their work and enjoy building novel systems and solving difficult problems. Our day-to-day development process includes test-driven development, pair programming, code reviews, continuous integration, and an automated workflow supported by the use of serverless computing, machine learning, bots, and yet-to-be-released tools. If you want a job that will let you iterate rapidly over interesting problem spaces and provides a modern and flexible work environment, then we’d love to hear from you.

Role - Software Engineer (EPOS)

The primary focus of the role will be the development of our proprietary point-of-sale data-capture software across desktop and mobile operating systems.

You’ll be working with a variety of programming languages, paradigms, platforms, frameworks, and methodologies, including machine learning, to accomplish solutions that precisely respond to our clients’ business needs.

You’ll also be encouraged to contribute to all other components of our proprietary data capture and sales growth and optimisation platform based on latest frameworks and cloud solutions comprising a broad spectrum of components, including system services, drivers, APIs, data analytics, and GUI.

Your key responsibilities will include:

  • Developing software our clients use on tens of thousands of machines worldwide

  • Creating solutions that you and yours can experience daily in the real world

  • Improving and introducing new processes to get things done efficiently

  • Devising and implementing automation strategies

  • Determining feasibility by evaluation, analysis, and requirement definition of proposed solutions

  • Continually enhancing our products and internal tools with code reviews, pair programming, investigation of problem areas, and other modern agile techniques

  • Staying on the leading edge of engineering practices

  • Contributing to information security controls

Job requirements

The right candidate will have:

  • Experience in software engineering and modern programming techniques and paradigms as well as the ability to apply them to complex software products

  • Understanding of good engineering practices, such as the single responsibility and inversion of control principles, test-driven development, code reviews, common design patterns and antipatterns, continuous integration, and system testing

  • Appreciation of the complexities of distributed systems, such as real-time synchronisation, serverless computing, and highly-available architectures

  • A pragmatic approach to refactoring code and migrating between various technologies, e.g. upgrading to a backwards-incompatible version of a widely-used library or changing the chief programming language.

  • Automation and optimisation mindsets

  • Excellent communication skills and the ability to collaborate with others across cultures, locations, and time zones

Experience with the following will be a plus

  • Experience with PoS software development

  • Experience with cross-platform software (Windows, Linux, Android and iOS)

  • Developing with Windows API

  • An understanding of machine learning solutions

  • Test-driven development

  • Continuous integration

  • C#, .NET, C

  • Experience using distributed version-control systems

We provide

  • A relaxed and informal work environment

  • Flexible hardware and software options

  • An opportunity to work with a global tech team (EU, Singapore, London, Jakarta, Bangkok and Sydney)

  • A culture that encourages autonomy, responsibility, and collaboration

About us

We are a retail technology business passionate about using data and automation at physical retail stores. We help local shops, national labels, and global brands operating in physical retail to build a better shopping experience using our unique technologies. Our retail growth platform enables retailers and brands to identify in-store shoppers, automate in-store marketing and leverage insights & predictions for data-driven growth.