Senior Backend Engineer

3 days ago

Kraków, Lesser Poland, Czech Republic Antal Full time
Required Skills & Experience:
  • 3+ years of hands-on experience in backend development of large-scale systems using Python.
  • Proven expertise in cloud technologies, preferably GCP, and containerisation tools such as Docker and Kubernetes.
  • Experience designing APIs and building Python libraries for production environments.
  • Familiarity with CI/CD tooling and automation, ideally including Jenkins and GitHub.
  • Strong knowledge of at least three of the following: Python, FastAPI, Apache Airflow, S3, Kubernetes, Jenkins, Docker.
  • Solid understanding of test-driven development and writing clear, maintainable technical documentation.
Nice to Have:
  • Previous exposure to finance or quantitative analytics domains.
  • Experience working in risk, treasury, or financial modelling environments.

Are you an experienced backend engineer passionate about designing scalable systems and modern DevOps practices? We're looking for a Senior Engineer (AVP level) to join our growing global treasury technology team and help shape the future of cloud-native financial modelling solutions.

What We Offer:
  • The opportunity to work on complex, high-impact projects in a collaborative and forward-thinking environment.
  • Competitive compensation and benefits.
  • A flexible, inclusive, and technology-driven culture focused on professional growth.

If you're ready to take the next step in your engineering career and contribute to building the next generation of treasury and risk tools, we'd love to hear from you.

,[Design and implement Python-based solutions for treasury and financial modelling systems., Develop containerised applications and manage CI/CD automation workflows in a cloud-based environment., Build reusable, robust, and well-documented code libraries and APIs for internal use., Collaborate with Quantitative Analysts, business stakeholders, and cross-functional technology teams to deliver integrated and scalable solutions., Contribute to the design and development of end-to-end deployment pipelines and coding environments that support agile model development., Translate complex business and regulatory requirements into practical, efficient, and compliant software implementations., Support system change management in accordance with internal technology standards.] Requirements: Python, Cloud, Docker, Kubernetes, Jenkins, GitHub, FastAPI, Apache Airflow, AWS S3, Test-driven development

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