Staff Backend Engineer — Real-Time Fraud & Risk (Remote)

Mercury Technologies

United States

Remote

USD 201,000 - 299,000

Full time

3 days ago
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Job summary

Mercury Technologies in the United States is seeking a Staff Software Engineer to design and build backend systems for fraud prevention, enabling real-time scoring with low latency. You will lead architecture, set roadmaps, and drive cross-functional delivery of high-impact projects.

You will collaborate with Data Science and ML teams to productionize models, build reliable data pipelines, and mentor engineers while shaping technical direction across the organization.

Qualifications

  • 7–10+ years of software development with backend focus.
  • Experience as a technical lead making architectural decisions.
  • Product-minded with reliability and velocity in mind.
  • Comfortable driving discussions across ambiguous ownership.
  • Fintech, fraud systems, or risk domain experience a plus.

Responsibilities

  • Lead architecture and long-term roadmap for core systems supporting fraud prevention.
  • Own end-to-end delivery of large cross-functional projects with measurable outcomes.
  • Design, build, and operate low-latency backend systems for real-time scoring.
  • Partner with Data Science and ML teams to productionize models and pipelines.
  • Establish best practices, review designs, and share technical direction.
  • Mentor engineers and document learnings through writings and 1:1s.
  • Navigate stakeholders and resolve cross-team issues with empathy.

Skills

Backend development
Technical leadership
Haskell
Distributed systems
Real-time scoring
Mentoring
Stakeholder alignment

Job description

Mercury Technologies in the United States is seeking a Staff Software Engineer to design and build backend systems for fraud prevention, enabling real-time scoring with low latency. You will lead architecture, set roadmaps, and drive cross-functional delivery of high-impact projects.

You will collaborate with Data Science and ML teams to productionize models, build reliable data pipelines, and mentor engineers while shaping technical direction across the organization.

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