Founding Backend / Infrastructure Engineer

What You Will Own 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).

Who We Are Looking For Must-Have:

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.

Strong Nice-to-Have:

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.

Who Is NOT the Right Fit 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.