Founding Backend / Infrastructure Engineer

🏢 nahc.io · all nahc.io jobs
📍 Taiwan
📅 Posted 2026-08-03 · via Himalayas
🏷 Software-Engineer,Backend-Engineering,Infrastructure-Engineering,Fintech,Systems-Engineering,Backend-Infrastructure-Engineer,Founding-Software-Engineer,Technical-Founding-Engineer,Backend-Engineer,Principal-Backend-Engineer,Infrastructure-Engineer
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About the Company & Mission

We are an early-stage (Seed), venture-backed cross-border neobank and retail brokerage built for global investors. Our mission is to bridge financial borders across the Pacific: building a single platform where US investors can directly access, trade, and hold high-growth Asian equities (such as Korean and Japanese markets) as seamlessly as trading domestic US stocks.

By combining an AI-native back end, real-time translated market research/filings, automated FX, multi-currency custody, and compliant clearing/settlement rails, we are removing the friction from international investing. Starting with a focus on cross-border retail brokerage, our long-term vision spans multi-currency banking, stablecoin-enabled instant cross-border settlement, and direct global market access on a single shelf.

We run on absolute trust: moving real capital across international borders requires rock-solid, auditable, and resilient infrastructure. We are actively expanding our founding engineering team to build out core systems on our path toward full brokerage self-clearing operations.

Why This Role Exists

As a modern retail brokerage, our backend is the core product. You will carry three of the company’s most critical technical deliverables:

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Build the financial foundation: Own the services driving order lifecycles, internal ledgers, multi-currency funding flows, and automated reconciliation from day one.

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Scale with precision: Build high-throughput, fault-tolerant infrastructure capable of expanding from early users to hundreds of thousands of active investors without compromising auditability or data integrity.

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Set engineering standards: Partner directly with the CTO to define company-wide standards for correctness, distributed system reliability, and production operational excellence.

This is a founding-stage seat offering deep technical ownership and high agency over architecture, product decisions, and system design.

What You Will Own

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Core Financial Engine: Design, implement, and maintain end-to-end order routing, execution lifecycles, internal double-entry ledgers, and automated funding/reconciliation systems.

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Resilient Architecture: Build production systems optimized for concurrency and partial network failures using idempotent handlers, durable event history, replayable state, and self-healing mechanisms.

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Third-Party & Banking Integrations: Integrate directly with partner clearing broker-dealers, international brokers, banking rails (ACH, wires), FX mechanisms, and automated KYC/AML verification providers.

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Production Excellence: Take end-to-end operational ownership—including sandbox testing environments, monitoring/alerting, incident response, on-call rotations, and postmortems.

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Internal Operational Tooling: Build robust internal tools and dashboards for operations, compliance, and support teams to audit, investigate, and resolve issues proactively.

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Data & AI Infrastructure Support: Support underlying data pipelines powering our real-time AI research and content-translation engines (no dedicated ML background required).

Who We Are Looking For

Must-Have:

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Experience: 6+ years of hands-on experience building, scaling, and maintaining high-availability production backend systems.

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Financial Data Rigor: Proven track record of owning mission-critical systems handling sensitive transactions (e.g., money movement, balances, orders, ledgering, or high-integrity financial data).

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Technical Proficiency: Deep expertise in a modern backend language (e.g., Go, Python, Node.js, Rust, or Java) and production data infrastructure (relational DBs, distributed event queues/streams, caching layers).

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System Design & Correctness: Strong instincts for distributed systems trade-offs—data modeling, transaction isolation, idempotency, failure domain isolation, and state reconciliation.

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Production Maturity: Hands-on experience with on-call rotations, incident

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