Senior Python Engineer – Complex Backend Systems

Our global client is looking for a Senior Python Engineer to join their innovative team in Prague. We are seeking Senior Python Engineers to join a global tech team developing complex backend platforms for trading, FX, and investment applications . This is a hands-on engineering role – designing and writing software end-to-end, not just working with AI/ML pipelines or pre-built libraries. This role is ideal if you want to deepen your backend engineering skills, work on complex applications, and grow alongside senior engineers in a global financial tech environment. What You’ll Do

• Build and maintain high-performance backend systems (pricing, product modelling, document generation, webapps)
• Develop Python services using FastAPI (but we are ok with Flask / Django) with strong OOP and multithreading concepts
• Work deeply with databases (Oracle or similar) – data parsing, modelling, optimisation
• Own the full lifecycle: design coding deployment support enhancements
• Collaborate in agile squads (3–10 people) across Europe, US, and Asia, within a 100+ global engineering community

Who We’re Looking For

• Senior-level Python engineers with real backend experience (not just ML/infrastructure work)
• Strong database and API development background
• Interest in finance, trading, investment software and if you are pro-active working directly with business users (traders, risk managers, product teams), in case you prefer just to code, we have Business Analysist and Architect responsible for communication
• Engineers who want to write complex applications with global financial impact

What we already expect from you:

• Python as your primary programming language, combined with solid hands-on experience in a modern server-side framework (ideally FastAPI, though similar frameworks like Flask/Django are also relevant)

Mastery of Object-Oriented Programming (OOP) principles and an ability to design solutions that handle multithreading and concurrency A robust understanding of databases – particularly relational systems, with a preference for Oracle – including schema design, data modeling, and performance tuning ️ Additional skills that will set you apart: Proficiency with version control systems such as Git for collaborative development

• Familiarity with CI/CD pipelines (TeamCity, GitLab or equivalent) for automated testing and deployment

Experience using tools like Pydantic for data validation and structured modeling

• Beyond technical expertise, evaluation will also include broader capabilities such as risk awareness, adaptability to change, strategic and business thinking, and digital-first mindset — alongside your engineering skillset.

• 5 weeks of holiday/year
• up to 60 sick days per year
• pension allowance
• 7 days paternal leave
• technical and financial academy
• home office 50/50
• modern offices
• work-life balance
• cafeteria points
• fully paid meal vouchers
• international company with daily use of foreign languages
• young and dynamic team, informal dress code