Financial Software Engineer

Rosetta is a language and SDK to build data models. With Rosetta we can define classic entity-relationships, but its power lies in its rich syntax for validation rules, data bindings and map-reduce abstractions that allows to build an end-to-end data processing pipeline. So that clients can use Rosetta with their language of choice, we can automatically code generate into Java or Python or Scala or GoLang or Javascript or … well you get the idea.

Our cloud-native platform is being used by financial institutions to embed these open-source data models into their own production reporting systems to perform stream or batch processing. Key to compliance applications is to give transparency to users over their data pipelines. That means baking in processing transparency into our infrastructure from day one and giving users (and ourselves!) an intuitive UI to drill into what is happening at every stage of the pipeline.

Financial markets are fast paced and the volume of transactions reaches easily into the 100,000s each day, so our technology needs to scale. The sensitive nature of the data being handled means our services need to be secure and offer high availability.

Currently we are using: mostly Java 11 (moving the 17 soon!), Docker, Kubernetes, Google Compute Platform, RESTful server APIs, Maven, GitHub, Codefresh, Artifactory, Auth0, Linux, xText, xTend, Angular, Typescript, Eclipse Plugin Development, D3 Graphics, npm.

There’s also scope to pick the stack for the new large-scale product that we are looking to build.

In terms of tech stack - the world is our oyster! We can use any tech we want - as long as it supports our platform. Preferring flexibility, we favour best-in-class technologies. We promote a right tool for the right job culture. This means we try to keep our work flexible, too.

We use Agile development but are not dogmatic about specific parts of Agile. We believe it allows us to create better software by brings the users and developers closer together.

We love quick development cycles and that means we invest in our CI/CD infrastructure. We define our build in code, and builds are kicked off on every GitHub push. For pipelines that create deployable Docker images, those are automatically deployed onto our auto-sizing Kubernetes clusters.

We love writing software and solving problems, not just applying security patches to build servers. That’s why we use Helm charts to package out deployments, Codefesh as out Dev Ops platform, Artifactory to host our binaries, and Google Cloud Platform to host everything else.

We commit to driving innovation in the industry and have participated in the FCA Tech Sprint (Nov 2017), the Accenture Innovation Lab (2018), the ING Fintech Village (2018) and Allen & Overy’s Fuse (2018-2020). We also sat on the judging panel at the Barclays #DerivHack (Nov 2018 and 2019) and won the Bank for International Settlements (BIS) Innovation Hub G20 TechSprint (2020).