Founding Backend / Infrastructure Engineer

1 мес. назад

TaiwanWorldwideSeniorRemote

aiautomated reconciliationmulti-currency funding

Founding Backend / Infrastructure Engineer role at a cross-border neobank and retail brokerage focusing on building core backend financial systems for international investing.

О компании

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
Experience: 6+ years of hands-on experience building, scaling, and maintaining high-availability production backend systems.
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).
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).
System Design & Correctness: Strong instincts for distributed systems trade-offs—data modeling, transaction isolation, idempotency, failure domain isolation, and state reconciliation.
Production Maturity: Hands-on experience with on-call rotations, incident management, performance tuning, and writing thorough postmortems.
Startup Mindset: High comfort navigating ambiguity, making pragmatic engineering trade-offs, and contributing to both product strategy and technical architecture.
Experience scaling consumer fintech, crypto, or brokerage platforms to 100k+ active users.
Domain knowledge in capital markets (Order Management Systems/OMS, market data, tax-lot accounting, corporate actions, post-trade settlement).
Experience integrating with partner broker-dealers, clearing platforms, or Banking-as-a-Service (BaaS) APIs.
Hands-on experience with double-entry accounting ledgers, multi-currency FX rails, or stablecoin/on-chain settlement.
Cross-border regulatory awareness or language fluency relevant to East Asian markets (e.g., Korean or Japanese).
Familiarity with AI-assisted developer tools and workflows that accelerate shipping velocity without compromising correctness.

Другое

Core Financial Engine: Design, implement, and maintain end-to-end order routing, execution lifecycles, internal double-entry ledgers, and automated funding/reconciliation systems.
Resilient Architecture: Build production systems optimized for concurrency and partial network failures using idempotent handlers, durable event history, replayable state, and self-healing mechanisms.
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.
Production Excellence: Take end-to-end operational ownership—including sandbox testing environments, monitoring/alerting, incident response, on-call rotations, and postmortems.
Internal Operational Tooling: Build robust internal tools and dashboards for operations, compliance, and support teams to audit, investigate, and resolve issues proactively.
Data & AI Infrastructure Support: Support underlying data pipelines powering our real-time AI research and content-translation engines (no dedicated ML background required).
Engineers who prefer taking pre-written tickets rather than driving problem definition, system design, and execution from zero.
Engineers who view data correctness, logging, observability, and auditability as secondary considerations.
Engineers seeking a purely advisory role without willingness to carry operational and production on-call responsibilities.