DriveWhip is hiring a Senior Software Engineer, Back-end (Fraud) to build foundational and tactical software that enables a strategic response to fraud. You will design and implement backend services, lead the delivery of quarterly goals, and collaborate with cross-functional stakeholders across North America.

What You'll Do

Own and deliver quarterly goals for your team, leading engineers through ambiguity to solve open-ended problems.
Design and implement backend services and APIs using Python or Kotlin within a microservice and event-driven architecture.
Shape the team’s roadmap, collaborate on technical design, and drive execution across projects spanning multiple teams.
Partner with the Engineering Manager and teammates to elevate quality standards, evolve processes, and represent the team in cross-functional initiatives.
Collaborate cross-functionally with stakeholders in Fraud Ops, Compliance, Product, Machine Learning, and Analytics to build scalable fraud tooling and infrastructure.
Proactively identify opportunities to improve system reliability, team efficiency, or architecture and lead efforts to address them.
Contribute to operational excellence by maintaining high observability standards, responding to incidents, and participating in the on-call rotation.
Foster a culture of ownership, inclusion, and craftsmanship by mentoring teammates, providing feedback, and upholding high code and design standards.

What We're Looking For

5+ years of experience building backend systems at scale using Python or Kotlin.
Experience with distributed systems and infrastructure using AWS, MySQL/PostgreSQL, and Kubernetes.
Strong system design skills and a track record of delivering maintainable, extensible services.
Proficiency in SQL and working with data-rich environments.
Familiarity with CI/CD practices and safe production deployments.
Strong written and verbal communication skills, especially in distributed teams.
A proactive, ownership-driven mindset with a focus on learning and team success.

Nice to Have

Experience with Snowflake, dbt, Airflow, or Chronosphere.
Background in fraud prevention, risk systems, or post-transaction tooling.
Experience working in the fintech sector or other highly regulated environments, with a strong understanding of risk, compliance, and operational constraints.