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Python Engineer - Backend and Cloud DevOps (m/f/x) (onsite / remote in Germany)

Scalable GmbH

Berlin

Hybrid

EUR 60.000 - 100.000

Vollzeit

Gestern
Sei unter den ersten Bewerbenden

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Zusammenfassung

An innovative firm is seeking a skilled Python Engineer to join their expanding Financial Engineering team. This exciting role involves designing and building a next-generation wealth management platform and regulatory risk control systems. The ideal candidate will leverage their extensive experience in Python and AWS services to create cloud-native solutions for high-volume financial data processing. Join a forward-thinking company that values collaboration and innovation, and contribute to shaping the future of digital investment services. If you're passionate about technology and finance, this opportunity is perfect for you.

Qualifikationen

  • 5+ years of backend experience in Python development.
  • Strong knowledge of AWS services and Docker usage.
  • Experience in developing data-driven applications.

Aufgaben

  • Design and build a new platform using modern technologies.
  • Collaborate with engineers to implement innovative financial solutions.
  • Develop high-performance monitoring tools for regulatory purposes.

Kenntnisse

Python
AWS
Docker
Git
RESTful APIs
Data-driven applications
Database management
CI/CD
Test automation
Cloud infrastructure

Ausbildung

Degree in Computer Science
Degree in Mathematics
Degree in Natural Sciences

Tools

AWS Lambda
AWS SQS
AWS SNS
AWS ECS
AWS Step Functions
GitHub Actions
Terraform

Jobbeschreibung

Python Engineer - Backend and Cloud DevOps (m/f/x) (onsite / remote in Germany)
  • Full-time

Scalable Capital is a leading digital investment platform in Europe, empowering individuals to shape their financial future. Our services include:

  • Scalable Broker: a platform for investing in stocks, ETFs, and other exchange-traded products, with savings plans.
  • Scalable Wealth: digital wealth management offering ETF portfolios, adopted as a white-label solution by B2B partners.
  • European Investor Exchange (EIX): a stock exchange for retail investors in Europe.

Founded in 2014, with over 500 employees across Munich, Berlin, Vienna, and London, we are working on innovative financial services. Our company values guide our daily work and collaboration. Learn more about them on our website.

We are expanding our Financial Engineering team and seek backend developers to deploy data products and develop software solutions. Your focus will include building our next-generation wealth management platform and regulatory risk control systems. The ideal candidate will have a strong background in Python and experience with AWS services such as Lambda, SQS, SNS, ECS, and Step Functions. Knowledge of Docker, GitHub Actions, Terraform, and various databases is essential.

Responsibilities
  1. Design and build a new platform using modern technologies and development practices (agile, CI/CD, test automation, cloud infrastructure).
  2. Collaborate with software engineers and quant developers to implement innovative solutions in finance.
  3. Develop and maintain high-performance monitoring tools for regulatory purposes.
  4. Select appropriate tools for data storage, processing, and visualization.
  5. Write clean, testable, maintainable, and well-documented code, prioritizing security.
  6. Design interfaces with internal services to connect asset allocation engines.
  7. Build cloud-native solutions for high-volume financial data processing.
  8. Contribute to creating accessible wealth management and brokerage services.
Minimum Qualifications
  • Degree in computer science, mathematics, natural sciences, or related field.
  • At least 5 years of backend experience in Python.
  • Experience with AWS services, Docker, Git, RESTful APIs.
  • Strong knowledge of data-driven applications and database management.
  • Proficiency in Python development and design.
  • Good communication skills and a proactive work style.
Preferred Skills
  • Interest in financial markets.
  • Experience with quantitative modeling and data-driven decision-making.

We encourage applicants to share what excites them about this role and why they are a good fit.

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