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Software Engineer, Backend (Risk Platform) (Remote) image - Rise Careers
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Software Engineer, Backend (Risk Platform) (Remote)

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

We are seeking a talented and motivated Backend Software Engineer to join a high-performing Risk Platform team focused on protecting financial systems and users from fraud and other risks. In this role, you will design, build, and optimize risk detection and mitigation systems that scale efficiently while maintaining reliability and a seamless user experience. You will collaborate closely with cross-functional teams, including data science, product, and analytics, to implement both proactive and reactive risk solutions. This role offers the opportunity to tackle complex technical challenges, contribute to high-impact projects, and help shape the future of secure financial platforms. The ideal candidate is passionate about technology, enjoys problem-solving, and thrives in a fast-paced, collaborative environment.

Accountabilities:

  • Design, scope, and implement new risk detection systems and major backend features, solving complex technical challenges.
  • Manage features and projects independently from inception to production deployment.
  • Collaborate with product, data science, and analytics teams to deliver proactive and reactive risk mitigation solutions.
  • Build self-serve tools to reduce friction for legitimate users while preventing fraudulent activity.
  • Participate in code reviews, lifecycle management, and mentor junior engineers.
  • Respond to incidents, contribute to post-mortems, and improve system reliability.
  • Propose and implement scalable solutions to enhance system architecture and engineering efficiency.
  • 2+ years of software engineering experience with a track record of shipping production systems.
  • Strong proficiency in at least one backend programming language (Go, Java, Python, Ruby).
  • Experience building and maintaining distributed systems at scale.
  • Solid understanding of software design patterns, data structures, and algorithms.
  • Familiarity with modern development practices, including CI/CD, testing, and monitoring.
  • Ability to work independently on complex tasks and quickly adapt to unfamiliar systems.
  • Preferred: experience in risk, fraud detection, or financial systems; familiarity with real-time event processing, cloud platforms (AWS, GCP), containerization (Docker, Kubernetes), and machine learning applications.

  • Competitive base salary with eligibility for bonus and equity programs.
  • Comprehensive medical, dental, and vision coverage.
  • 401(k) retirement plan with company match.
  • Paid holidays and flexible time off.
  • Wellness programs, fitness initiatives, and employee assistance programs.
  • Opportunities for professional growth, mentorship, and collaboration in a high-impact environment.
  • Inclusive, supportive culture fostering innovation, learning, and career development.

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!

 

#LI-CL1

Average salary estimate

$145000 / YEARLY (est.)
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$110000K
$180000K

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Full-time, remote
DATE POSTED
November 10, 2025
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