Staff Backend Engineer (Financial Ledger, Remote)

Denmark
Posted 1 week, 3 days ago
Engineering

About the role

Job summary

This role focuses on the evolution of a financial infrastructure within a travel-tech SaaS platform, emphasizing backend systems responsible for financial accuracy and integrity.

Qualifications

  • Over 8 years of experience in backend engineering, particularly with financial, billing, or transactional systems.
  • Proven track record in building or maintaining financial platforms, such as payment systems or ERP solutions.
  • Expertise in ledger systems and reconciliation mechanisms, ensuring financial correctness.
  • Strong grasp of financial concepts like revenue recognition and multi-party money flows.
  • Experience in evolving complex production systems without disrupting existing functionalities.
  • Hands-on engineering skills for both designing architecture and implementing backend systems.
  • Proficient in Python and relational data modeling, preferably with PostgreSQL.
  • Familiarity with event-driven architectures and distributed systems, ideally in AWS environments.
  • Ability to manage complex financial scenarios, including multi-currency and taxation logic.

Responsibilities

Benefits

  • Take ownership of the Financial Core system and guide its evolution.
  • Validate lifecycle flows and ensure financial correctness across distributed services.
  • Design and maintain financial models, including revenue recognition and cost allocation.
  • Enforce financial invariants within an event-driven architecture.
  • Collaborate with finance and engineering leadership to implement business rules technically.
  • Lead improvements in a live production system and support system reliability.
  • Contribute to backend development while shaping long-term architectural direction.
  • Competitive compensation for senior backend engineering roles.
  • Fully remote-friendly work environment.
  • Opportunity to lead a critical financial system.
  • High-impact role with significant architectural autonomy.
  • Exposure to complex financial systems and large-scale architectures.
  • Collaborative environment with engineering and finance teams.
  • Modern cloud-based stack including AWS and Python-based services.
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