Senior Backend Engineer - Onramp

Design and scale fintech and crypto systems for fiat-to-crypto flows, payment orchestration, real-time risk decisions, KYC/AML, ledgers, reconciliation, crypto delivery, reliability, observability, and operational dashboards.

Responsibilities

  • Own payment orchestration for bank rails and cards with idempotent, fault-tolerant APIs and webhook processing.
  • Integrate third-party providers behind clean, reliable interfaces.
  • Build a real-time risk engine combining rules, ML scores, device signals, sanctions/KYC hits, and blockchain analytics.
  • Implement KYC and AML primitives including CIP/CDD, sanctions and PEP screening, Travel Rule data, and audit-ready journaling.
  • Ship a double-entry ledger and reconciliation system with daily break detection and automated remediation.
  • Deliver crypto to user wallets and manage hot-wallet flow, transaction creation, confirmations, and operational safeguards.
  • Improve reliability via SLOs, circuit breakers, retries, DLQs, shadow traffic, and canary releases.
  • Instrument systems with traces, metrics, and logs, build internal ops and compliance dashboards, and participate in on-call.
  • Collaborate cross-functionally with product, mobile, compliance, risk, and finance to take features from concept to production.

Requirements

  • Proven experience building end-to-end onramp or payment ramps.
  • Expertise in high-throughput, low-latency distributed backend systems, payments, or fintech risk.
  • Fluency in Rust, Go, TypeScript/Node, or Python.
  • Deep knowledge of Postgres and familiarity with Redis, Kafka or Redpanda, and ClickHouse.
  • API design experience with gRPC and REST, versioning, pagination, authentication and authorization, idempotency, and webhook consumers.
  • Experience designing event-driven architectures using queues, outbox/inbox, and exactly-once-effective patterns.
  • Security experience including key management, HSM/KMS, secrets hygiene, least privilege, and auditability.
  • Ownership-driven mindset and comfort operating in ambiguous, high-iteration environments.

See also

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