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

This role offers the opportunity to join a fast-growing, mission-driven FinTech environment where you will design and implement critical systems that safeguard users and the business. As a senior engineer on the Risk Platform team, you will build scalable APIs, distributed systems, and machine learning-driven rules engines to mitigate credit and fraud risk. You will collaborate closely with product, design, and engineering teams to deliver innovative solutions that improve customer experience while ensuring security and compliance. The role combines high technical ownership with a focus on risk management, providing a chance to influence platform architecture and mentor peers. You will work in a dynamic, inclusive, and remote-friendly environment with strong opportunities for professional growth.

Accountabilities

Design, implement, and maintain high-scale APIs and distributed systems to support risk mitigation across the platform.
Build and enhance the core rules engine, enabling dynamic decision-making for credit, fraud, and operational risk.
Develop machine learning and data-driven solutions to detect, prevent, and respond to business risks.
Collaborate with product, design, and engineering teams to launch new features across web and mobile platforms.
Ensure high system availability, scalability, and reliability using AWS, containerization, and observability best practices.
Mentor junior engineers, promote best practices, and contribute to elevating team technical standards.
Participate in designing experimentation and A/B testing frameworks to optimize risk policies and user experience.

Requirements

The ideal candidate has a strong background in risk-focused software engineering, with experience delivering complex systems in production:

6+ years of professional software development experience, including 5+ years in Java.
Hands-on experience with Java frameworks and tools, including Spring (core/web/boot), Gradle, JUnit, and JVM optimization.
Proven experience in risk engineering, rules engine architecture, and production risk/credit/fraud systems.
Skilled in designing scalable architectures, REST APIs, message queues, and service-oriented systems.
Experience with AWS services (EKS, Aurora RDS, Elasticache, DynamoDB) and containerization tools.
Familiarity with CI/CD pipelines (preferably GitHub Actions), infrastructure as code (CDK/Terraform), and observability/monitoring tools like DataDog.
Strong collaboration, communication, and mentorship abilities to support cross-functional teams.
Preferred: experience with big data platforms such as Snowflake, and exposure to experimentation frameworks and machine learning in risk contexts.

Benefits

Competitive salary range: Tier A: $172,000–$215,000; Tier B: $154,800–$193,500; Tier C: $146,200–$182,750 USD.
Company equity and long-term growth opportunities.
Comprehensive medical, dental, and vision coverage from day one (U.S. positions).
401(k) plan with company match beginning in 2026.
Unlimited paid time off plus 13 company-paid holidays.
Parental leave and wellness-focused programs.
Remote work flexibility with a supportive, inclusive, and collaborative team culture.
Access to company products and professional development opportunities.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.