Software Engineer, Risk (Remote - US)

Jobgether; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

A recruiting partner in the United States is seeking a Software Engineer for the Risk team. This role involves designing and maintaining systems to combat fraud and identity threats while ensuring operational excellence. Candidates should have 3+ years of backend engineering experience, particularly within fintech or similar environments. The position offers competitive pay, health benefits, and a supportive, mission-driven culture.

Benefits

Competitive base salary with equity grants

Health benefits from Day 1

401(k) plan with company match

Remote-friendly work setup with flexible time off

Opportunities for professional growth and learning

Qualifications

• 3+ years of professional experience in backend engineering, ideally within fintech, payments, or customer-facing systems.
• Proficiency in building and maintaining APIs, microservices, and distributed systems.
• Strong problem-solving skills, proactive mindset, and ability to work independently.

Responsibilities

• Design, build, and maintain backend services that support fraud detection, identity verification, and transaction monitoring.
• Develop APIs and distributed systems for real-time risk and fraud prevention.
• Collaborate with product managers and engineers to implement secure, scalable solutions.

Skills

Backend engineering

API development

Problem-solving

Collaboration

Tools

Node.js

TypeScript

AWS

Kubernetes

Job description

Overview

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Software Engineer, Risk in the United States.

As a Software Engineer on the Risk team, you will help design, build, and maintain systems that protect users and the business from fraud, identity threats, and transactional risks. Your work will directly contribute to secure, scalable, and resilient backend services that monitor activity, detect anomalies, and prevent financial loss. You will collaborate closely with product managers, engineers, and third-party partners to deploy reliable and compliant systems. This role emphasizes hands-on backend development, architectural decision-making, and operational excellence, offering the opportunity to make a meaningful impact in a fast-paced, mission-driven environment focused on financial inclusion.

Responsibilities

• Design, build, and maintain backend services that support fraud detection, identity verification, and transaction monitoring.
• Develop APIs and distributed systems for real-time risk and fraud prevention.
• Collaborate with product managers and engineers to implement secure, scalable solutions.
• Integrate third-party risk and compliance platforms while ensuring secure data flows.
• Contribute to architectural decisions balancing scale, security, and reliability.
• Create clear documentation to support team collaboration and operational excellence.

Qualifications

• 3+ years of professional experience in backend engineering, ideally within fintech, payments, or customer-facing systems.
• Proficiency in building and maintaining APIs, microservices, and distributed systems.
• Familiarity with cloud infrastructure (AWS, Kubernetes, or similar) and database technologies.
• Experience with risk, fraud, or compliance systems is a plus.
• Strong problem-solving skills, proactive mindset, and ability to work independently.
• Excellent collaboration and communication skills.

Technologies commonly used

Node.js, TypeScript, functional programming libraries (fp-ts), Kubernetes, AWS

Benefits

• Competitive base salary with equity grants.
• Health benefits from Day 1.
• 401(k) plan with company match.
• Remote-friendly work setup with flexible time off (FTO).
• Opportunities for professional growth and learning.
• Inclusive, mission-driven culture with high-impact work.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. It compares your profile to the job’s core requirements and past success factors to determine your match score. Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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