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Wallet icon Coin icon Rate 100 000 CZK - 140 000 CZK / month info
Timer icon Form of cooperation Full-time / 50% 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 12 months with the possibility of extension
Period of cooperation 01.09.2026 - 31.08.2027
Start date 01.09.2026 - 01.10.2026
Project duration 12 months with the possibility of extension
Period of cooperation 01.09.2026 - 31.08.2027
Start date 01.09.2026 - 01.10.2026
Technology
  • RHEL Red Hat Enterprise Linux
  • SQL
  • JIRA
  • GIT
  • Python
  • Microservices
  • GCP Google Cloud Platform
Languages
  • English flag English - active, B2/C1/C2

Project description

  • building a modern platform for risk calculations and market data management within an extensive multi-year project in a cloud native architecture
  • working in an agile team focused on functional and technical testing of microservices, data cleansing, and interface integration for computational systems
  • utilizing technologies such as Python, SQL, Linux, and working in GCP, OpenShift, or Redis environments
  • ensuring high reliability, scalability, and throughput of the system for critical financial operations
  • collaboration in a 50% onsite in Prague and 50% remote mode

Project requirements

  • at least 2 years of commercial experience in software testing
  • demonstrable experience with backend automation in Python (API / service-level testing)
  • advanced knowledge of:
    • SQL for working with databases
    • Linux and command-line work
    • testing REST API and/or gRPC
    • familiarity with containerized environments (e.g., Docker / OpenShift / Kubernetes)
    • testing in microservices or distributed systems environments
  • knowledge of:
    • English language at a level for fluent professional communication
    • Git or GitHub, Jira, and X-Ray
  • advantageous:
    • basic understanding of financial markets (bonds, stocks, derivatives)
    • experience with cloud technologies (GCP, ArgoCD)
    • working with Grafana, PostgreSQL, or Redis tools
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