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Metro mid-level backend role with common tech stack increases applicant density and competition.
Core backend skills are transferable, but fraud/risk domain experience increases preference for domain-relevant backgrounds.
Explicit 4–7 years requirement plus specific backend, distributed systems, and messaging skills creates strict filters.
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Design and develop scalable, low-latency distributed backend systems processing millions of events per day for real-time fraud detection and customer intelligence.
Own significant parts of system architecture, drive technical decisions, and lead system design discussions across services.
Mentor engineers and contribute to improving platform resiliency, monitoring, alerting, and incident response for reliable and cost-efficient operations.
4 to 7 years of backend software development experience.
Strong expertise in Java or Python, system design, and distributed systems.
Hands-on experience with REST APIs, event-driven systems, microservices, and relational/NoSQL databases like PostgreSQL, MongoDB, Redis, or Cassandra.
Familiarity with messaging/streaming systems such as Kafka or RabbitMQ and cloud/container platforms like AWS or GCP.
Experienced in designing fault-tolerant, high-performance backend architectures for real-time data processing at scale.
Comfortable leading technical direction and mentoring engineers in a high-ownership, fast-paced startup environment.
Preferably has exposure to fraud detection, risk engines, or behavioral analytics platforms.