Payments Engineer — Live Sandbox Coding (Remote)

Patronus AI, Inc.; United States; Teletrabalho; USD 170 000 - 243 000; Tempo parcial

Resumo da oferta

Patronus AI, Inc. is recruiting for contract-based, remote work with a focus on live payment-flow evaluation in a sandboxed environment.

You will work with researchers to implement and review authorization, capture, refunds, idempotency, webhooks, and ledger considerations while explaining reasoning and edge cases in clear English. This role emphasizes hands-on code contributions, thorough scenario analysis, and documentation after each session, contributing to evaluation data for frontier

Qualificações

• 3+ years writing production code for payments systems.
• End-to-end money-movement lifecycle expertise (authorization, capture, settlement, reconciliation, disputes).
• Proficiency in Python, Go, Java or TypeScript, and ability to read unfamiliar codebases.

Responsabilidades

• Implement and review payment flows live in a sandboxed codebase (authorization, capture, refund, idempotent retries).
• Explain your reasoning as you work, including edge cases checked first.
• Review drafted scenarios for realism and difficulty and flag failure modes (double charges, currency rounding, race conditions, stale webhooks).
• Help write acceptance criteria for each scenario, including potential wrong moves.
• Write short notes after each session detailing approach and verifications.
• Work with reviewer feedback within agreed turnaround times and flag guideline gaps.

Conhecimentos

Payments engineering

Programming languages: Python/Go/Java/

Descrição da oferta de emprego

Patronus AI, Inc. is recruiting for contract-based, remote work with a focus on live payment-flow evaluation in a sandboxed environment.

You will work with researchers to implement and review authorization, capture, refunds, idempotency, webhooks, and ledger considerations while explaining reasoning and edge cases in clear English. This role emphasizes hands-on code contributions, thorough scenario analysis, and documentation after each session, contributing to evaluation data for frontier