Software Engineer, Fraud & Identity
Software Development
WFA Digital Insight
The demand for digital skills in fraud prevention and identity management has surged in recent years, with companies investing heavily in securing their online platforms. As a result, the job market for software engineers with expertise in these areas has grown exponentially. With the rise of remote work, companies like Ramp are looking for top talent to build and evolve their systems, making this an exciting time for professionals in the field. Ramp's commitment to innovation and customer satisfaction makes it an attractive company to work for, and candidates with a strong background in backend engineering and data-informed detection systems will be well-suited for this role. Before applying, candidates should be aware of the high-stakes nature of this position and the importance of collaboration with cross-functional teams.
Job Description
About the Role
As a Software Engineer on the Fraud and Identity team at Ramp, you will play a critical role in building and evolving systems that detect and prevent fraud, as well as manage user identity and access. This position sits at the intersection of security, risk decisioning, and product experience, requiring a unique blend of technical expertise and collaboration with various stakeholders. The median Ramp customer saves 5% and grows revenue 16% in their first year, making this a high-impact role that directly contributes to the company's mission. The Fraud and Identity team at Ramp is responsible for developing and implementing detection and prevention capabilities, as well as managing user identity and access. As a software engineer on this team, you will work closely with Fraud Ops, Risk Strategy, Security, Product, and Data to ship improvements that are measurable in loss reduction, attack containment, and user experience. Your technical expertise and ability to collaborate with cross-functional teams will be essential in driving the success of this team. Ramp is committed to innovation and customer satisfaction, and the company culture values high agency and high urgency. As a software engineer on the Fraud and Identity team, you will be expected to take ownership of problems and make consequential decisions that shape the outcome. This is an exciting opportunity for a skilled software engineer to join a dynamic team and contribute to the development of cutting-edge systems. ## What You Will Do - Build and evolve backend services that detect and prevent fraud across multiple surfaces, including account access and money movement.- Develop enforcement and response tooling that enables fast, safe actions such as identity locks, business locks, payment freezes, and other containment levers.
- Improve protections against account takeover (ATO), including risk-based step-ups, monitoring, and targeted friction controls.
- Design and operate high-signal systems with strong observability: metrics, dashboards, alerting, and playbooks for incidents and fraud campaigns.
- Partner with UIM/Identity stakeholders to strengthen authentication and identity foundations (roles, permissions, identity state, and related platform primitives).
- Drive end-to-end delivery: technical design, implementation, rollout strategy, and iteration based on outcome metrics.
- Collaborate with cross-functional teams, including Fraud Ops, Risk Strategy, Security, Product, and Data, to ship improvements that are measurable in loss reduction, attack containment, and user experience.
- Develop and maintain technical documentation and provide technical guidance to junior engineers.
- Participate in on-call rotations and contribute to improving on-call quality through instrumentation and automation.
- Stay up-to-date with industry trends and emerging technologies in fraud prevention and identity management.
- Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability).
- Experience building data-informed detection or decisioning systems (rules engines, scoring, anomaly detection, or similar), or strong interest in learning in this domain.
- Proven ability to operate production systems: debugging, incident response, and improving on-call quality through instrumentation and automation.
- Strong cross-functional communication skills and comfort working with product and operations partners.
- Experience with programming languages such as Java, Python, or C++.
- Familiarity with cloud-based platforms such as AWS or GCP.
- Strong understanding of security principles and practices.
- Experience with agile development methodologies and version control systems such as Git.
- Familiarity with payments rails, card transaction risk, or account security patterns.
- Experience building internal tools for operations teams (case management, investigation, enforcement workflows).
- Knowledge of machine learning algorithms and their applications in fraud detection.
- Experience with containerization using Docker and container orchestration using Kubernetes.
- One Medical annual membership.
- 401k (including employer match on contributions made while employed by Ramp).
- Flexible PTO.
- Fertility HRA (up to 0,000 per year).
- Parental Leave.
- Unlimited AI token usage.
- Pet insurance.
- Centralized home-office equipment ordering for all employees.
- Health and Wellness stipend.
- In-office perks: lunch, snacks, drinks, and more.
- Budget for intra-office travel and professional development opportunities.
How to Stand Out
- Be prepared to provide examples of your experience with backend engineering and data-informed detection systems.
- Highlight your ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders.
- Show a strong understanding of security principles and practices, as well as experience with agile development methodologies.
- Emphasize your ability to drive end-to-end delivery and iterate based on outcome metrics.
- Be prepared to discuss your experience with fraud prevention and identity management, as well as your knowledge of industry trends and emerging technologies.
- Tailor your resume and cover letter to highlight your relevant skills and experience, and be prepared to provide examples of your work.
- Research the company culture and values, and be prepared to discuss how your skills and experience align with Ramp's mission and goals.
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