Staff Fintech Engineer — Remote, Revenue Lifecycle Tech

Ladders

United States

Remote

USD 225,000 - 325,000

Full time

2 days ago
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Benefits offered by this job

Annual bonus
Stock options
401(k) match
Health insurance
Flexible PTO
Learning & development

Job summary

Ladders is seeking a Staff Software Engineer - Fintech to join our client in the Information Technology space. This remote US role leads the technical direction of a complex financial system supporting subscription and usage-based commerce.

You will mentor engineers, partner with product teams to improve revenue lifecycle accuracy, and design resilient financial systems with strong governance and data integrity.

Qualifications

  • 5–7 years of software engineering experience in fintech.
  • Hands-on with PIM, CPQ, or O2C processes.
  • Experience building and operating subscription/usage-based financial systems.
  • Strong understanding of financial controls and compliance requirements.
  • Experience with AI tools to enhance engineering productivity.

Responsibilities

  • Own and operate a complex fintech system and shape its technical strategy.
  • Improve revenue lifecycle execution and financial correctness.
  • Develop commerce capabilities for subscription models in collaboration with product teams.
  • Make strategic decisions on system features through collaboration.
  • Mentor engineers to strengthen judgment and technical skills.
  • Design systems for financial correctness and data integrity.
  • Instrument systems for reliability and data accuracy.

Skills

Fintech software engineering
PIM/CPQ/O2C
Financial controls & compliance

Job description

Ladders is seeking a Staff Software Engineer - Fintech to join our client in the Information Technology space. This remote US role leads the technical direction of a complex financial system supporting subscription and usage-based commerce.

You will mentor engineers, partner with product teams to improve revenue lifecycle accuracy, and design resilient financial systems with strong governance and data integrity.

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