Python Engineer

In Scalable’s expanding Financial Engineering, we are looking for backend developers for a new 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 market risk controlling systems. The successful candidate will have a solid background in our tech stack with Python being the leading language. Java/Kotlin as a second language is mandatory, alongside Docker, and Spring Boot. A successful candidate must be well-versed in AWS services such as Lambda, SQS, SNS, and ECS. A strong understanding of SQL is also crucial for this role.

• 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 (Dash, Metabase, Datadog, ...)
• 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 implement interfaces with major internal services to connect the Scalable Capital asset allocation engine with the world
• Create the next generation wealth management and brokerage services for everybody

Requirements

• Excellent university degree in computer science, mathematics, natural sciences, or a similar field
• 3+ years of full backend experience in Python (mandatory)
• Industry experience with Java/Kotlin, JWT, Docker, Spring, AWS, Git, GraphQL, RESTful API (mandatory)
• 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 Relational Databases / SQL
• Fluent English language skills (written & spoken)
• Proactive,, independent, collaborative and easy-going working style, good time management, fair play

Preferred skills

• Passion for the global financial markets
• Experience in quantitative modelling and data-driven decisions

We would be happy if you'd write to us in the "message to the Hiring Manager" section about what excites you about the role and why you think you would be a great fit!