Junior Software Engineer - Scientific Applications
Indexed description
We’re looking for software engineers to help realise our next generation of scientific processing applications, excited by the prospect of learning new domain knowledge, tools and techniques, and eager to extend these into innovative ideas of their own.
As a Software Engineer at DUG Technology, you’ll work within a world-class team of energetic problem solvers on ambitious software challenges. Guided by our agile continuous integration process you’ll develop advanced features for a variety of scientific products, including DUG Insight, our flagship product. You’ll show initiative by becoming proficient in the languages and technologies used in your projects, as well as the basic domain knowledge required to solve challenging software problems for your users. You’ll employ your design smarts on new user interfaces, APIs, high performance computing and cluster data challenges. When submitting your application, you’ll have shown you have an eye for detail by including ‘Shibboleth’ in your cover letter.
Your tasks:
- High- and detailed-level design of scientific processing software
- Implementation, testing, optimisation and maintenance of software written in the most appropriate language to solve each problem (including Java, C/C++ and Python)
- Inspection and maintenance of software written by other members of the team
- Becoming conversant in the problem domains of new and existing products
- Acting as 3rd-level technical support, for otherwise-unresolvable customer issues
- Providing and receiving regular, constructive feedback to and from your peers
- Collaborating on priority and scheduling for rapid product iterations
- Passion for writing clean, maintainable, performant code
- Relevant qualification in computer science or other scientific domain
- Working knowledge of Java, C/C++ or Python
- Excellent written and spoken business and technical English, suitable for working directly with clients
Compensation:
An attractive salary will be negotiated based on skills and experience.
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