Scalable Capital Python Engineer

In Scalable's expanding Financial Engineering, we are looking for backend developers for a team which focuses on deploying data products and developing software solutions. You will be creating and improving our next generation wealth management and building regulatory risk controlling systems. A successful candidate must be well-versed in AWS services such as Lambda, SQS, SNS, ECS, and Step Functions. That should be supported with working knowledge of Docker and GitHub Actions. The infrastructure is managed via code using Terraform. A strong understanding of all varieties of databases is also crucial for this role. Design and build a new exciting platform to serve our customers using cutting edge technology and modern software development practices (e.g. agile and self-sufficient teams, continuous integration and deployment, test automation, cloud-based infrastructure and tooling). Work alongside a highly motivated team of software engineers and quant developers, implementing change in the financial industry. Develop and maintain innovative, high-performance monitoring tools serving regulatory purposes (Datadog, Metabase, Dash, ...). Choose tools for storing, processing, and displaying vast and growing datasets from diverse data sources. Write clean, testable, maintainable and well-documented code and treat security as a first class citizen. Design and build interfaces with major internal services to connect the Scalable Capital asset allocation engine with the world. Design and build cloud-native solutions that process high volume of financial data. Create the next generation wealth management and brokerage services for everybody.

Scalable Capital provides a free smartphone application for the investing and trading of stocks, cryptocurrencies, commission-free ETFs, and index funds, with subscription fees providing commission-free stock trading. The application also features a machine learning-driven robotrading service called Smart Predict to aid in improving users' limit and stop orders.