Staff Software Engineer (Fraud & Payment Risk Platform)

Location: USA; New York, NY. Roles posted in New York are hybrid with on-site expectations of 2–3 days per week in a local office. Candidates outside these areas may be eligible for relocation assistance.

Salary: $200,000–$250,000 USD for Tier 1 locations; other USA tiers range from $170,000–$225,000 USD depending on location.

Company

hirify.global is a growth-stage, NYC-headquartered FinTech company building a payment layer for household financial obligations.

What you will do

• Lead the architecture and hands-on development of backend decisioning services, APIs, and shared infrastructure for fraud and payment risk.
• Design for scalability, performance, reliability, latency, throughput, availability, data consistency, and cost.
• Build feature ingestion, integration, and serving for real-time, near-real-time, and offline or batch-computed risk features.
• Develop configurable rules, experimentation, UAT, evaluation, versioning, and safe rollout capabilities.
• Own engineering infrastructure across the ML lifecycle, including validation, deployment, inference, rollback, and model-output integration.
• Drive observability, performance testing, migrations, cross-team delivery, code reviews, mentorship, and operational improvements.

Requirements

• 6+ years of professional software engineering experience, including substantial experience building and operating backend systems in production.
• 5+ years of hands-on Java experience, including building services with Spring Boot.
• Experience leading the architecture and delivery of complex distributed systems or shared backend platforms.
• Strong understanding of API design, service integration, data modeling, caching, and distributed-system failure modes.
• Experience diagnosing performance bottlenecks and improving scalability and reliability through measurement, testing, and production troubleshooting.
• Experience with cloud infrastructure, containerized deployments, and relational and NoSQL data stores.
• Experience establishing observability, monitoring, and alerting for production systems.
• Ability to lead technical decisions across teams, communicate architectural trade-offs clearly, and mentor engineers.

Nice to have

• Experience with feature platforms, configurable rules engines, experimentation infrastructure, or production model-serving systems.
• Experience building risk platforms, decision engines, or fraud and payment risk systems is a plus but is not required.
• Experience building shared platforms adopted and operated independently by engineering or risk teams.
• Familiarity with AWS services including EKS, Aurora, ElastiCache, and DynamoDB.
• Experience with infrastructure as code and CI/CD automation using Terraform, CDK, or GitHub Actions.
• Familiarity with Datadog and Snowflake.

Culture & Benefits

• Inclusive workplace focused on diverse perspectives, ownership, curiosity, empathy, and continuous improvement.
• Hybrid office setup with on-site expectations of 2–3 days per week for New York, San Francisco, and Salt Lake City roles.
• Relocation assistance may be available for candidates outside the listed office areas.
• Employees are distributed across the US, Australia, Canada, and South America.