Python Engineer, Scalable Capital

• Excellent university degree in computer science, mathematics, natural sciences, or a similar field
• Extensive work experience in Python (mandatory)
• Java/Kotlin previous experience would be a plus
• Hands-on experience with multiple AWS services
• Industry experience with Docker, Git and RESTful API
• Excellent knowledge in data-driven business applications
• Exposure and interest in our tech stack: Python, DevOps, Docker, CI/CD pipelines, Infrastructure as Code (Terraform), SQL and event-based asynchronous architectures
• Solid knowledge of software development and design in Python
• A soft spot for automation and clean code
• Excellent communication skills that are clear, concise, and targeted towards your audience - engineering, product, or other stakeholders
• Advanced knowledge of all varieties of databases
• Fluent English language skills (written & spoken)
• Proactive, independent, collaborative and easy-going working style, good time management, fair play

Desirable

• In this greenfield project, you’ll build and automate a robo-advisor managing several billion euros in assets
• 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
• The successful candidate will have a solid background in our tech stack with Python being the leading language
• 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