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Wallet icon Coin icon Rate 90 000 CZK - 130 000 CZK / month info
Timer icon Form of cooperation Full-time / 20% Remote
Briefcase icon Sector Information Technology
Location icon Location Praha

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration Full-time/Self-employed
Period of cooperation 01.08.2025 - 01.08.2026
Start date 01.08.2025 or by agreement
Languages
  • English flag English - conversational, B1
  • Slovak or Czech flag Slovak or Czech - native

Project description

  • Designing, developing, and supporting asynchronous real-time services in Python with an emphasis on performance, reliability, and scalability
  • Collaboration with internal users (traders, data scientists, developers) on requirements analysis and technical solution design
  • Integration of external data sources (REST/WebSocket APIs) into the internal data ecosystem
  • Participation in prototyping new data approaches and sources
  • Improving observability, testing, and deployment within the CI/CD pipeline
  • Team collaboration with an emphasis on proactivity, business orientation, and quality

Project requirements

  • Advanced experience with:
    • Development in Python 3+ (min. 3 years) focusing on backend systems and performance
    • Asynchronous programming in Python (min. 2 years), ideally using asyncio
    • Designing scalable and robust integration services
  • Experience with:
    • API integration (REST and WebSocket) and processing real-time data streams (min. 2 years)
    • Collaboration with business teams (e.g., traders, data analysts) and translating their requirements into technical solutions
    • CI/CD tools and test automation
  • Advanced knowledge of:
    • Code typing in Python (e.g., using mypy)
    • Working with libraries and frameworks like FastAPI, Aiohttp
  • Knowledge of:
    • Streaming data using Kafka or alternative message brokers
    • Principles of system observability, testing and performance tuning
  • Advantage:
    • Experience with real-time systems in a financial/trading environment
    • Knowledge of multi-process architecture in Python (combination of multiprocessing and asyncio)
    • Understanding of basic principles of data analytics or working with data scientists
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