  There is a gap in scientific information systems development concerning
modern software engineering and scientific computing. Historically, software
engineering methodologies have been perceived as an unwanted accidental
complexity to computational scientists in their scientific systems development.
More recent trends, like the end of Moore's law and the subsequent
diversification of hardware platforms, combined with the increasing
multidisciplinarity of science itself have exacerbated the problem because
self-taught "end user developers" are not familiar with the disciplines needed
to tackle this increased complexity. On a more positive note, agile programming
methods have approached software development practices to the way scientific
software is produced. In this work, we present the experience of a multi-year
industry research project where agile methods, microservices and DevOps were
applied. Our goal is to validate the hypothesis that the use of microservices
would allow computational scientists to work in the more minimalistic
prototype-oriented way that they prefer while the software engineering team
would handle the integration. Hence, scientific multidisciplinary systems would
gain in a twofold way: (i) Subject Matter Experts(SME) use their preferable
tools to develop the specific scientific part of the system; (ii) software
engineers provide the high quality software code for the system delivery.
