Backend Engineer Card Issuing

Stablecoin rails for real-world payments.

0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/25/2026

Singapore, Singapore
About StraitsX

StraitsX is a Singapore-headquartered provider of regulated stablecoin and digital-payment infrastructure. It issues fiat-backed stablecoins including XSGD, XUSD, and XIDR, and provides settlement, wallet, dedicated virtual accounts, card issuance, QR-payment connectivity, OTC trading, and API services.

View jobs by StraitsX

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own a core production domain for card issuing and set its technical direction. You will design resilient money-moving systems, build and scale RESTful microservices, lead payment integrations, make architecture decisions, mentor engineers, and automate regulated engineering and operational workflows with AI tools.

Requirements

  • 5+ years of backend engineering experience
  • Track record of designing, launching, and operating high-scale or financial production systems
  • Expert-level Golang and microservices experience
  • Modern cloud infrastructure experience with Docker, Kubernetes, and CI/CD
  • Advanced MariaDB or MySQL skills, including query optimization, transactions, locking, and live schema migrations
  • Debugging skills, technical judgment, and technical writing ability
  • Experience with AI-assisted development tools such as Claude or Cursor
  • Payments, card issuing, settlement, network integration, ISO 8583, or PCI DSS experience is a plus

Responsibilities

  • Lead technical design and write RFCs for high-availability money-moving systems
  • Own a core production domain while balancing features, technical debt, and reliability
  • Build and scale RESTful microservices with idempotency, reconciliation correctness, and PCI DSS security
  • Drive integrations with card networks, payment processors, and third-party providers
  • Partner with Product, QA, and Ops to deliver ambiguous work
  • Mentor junior and mid-level engineers
  • Use AI tools and agents to automate engineering and operational workflows safely