Staff Software Engineer, TRUST Network

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Travel Rule engineering operates the TRUST network, a critical piece of Travel Rule compliance across the industry. TRUST defines the protocols members use to securely exchange Travel Rule data with one another, and the team builds innovative solutions with impact well beyond Coinbase. We are hiring a Staff Software Engineer to set technical direction as TRUST grows from a small, bespoke network into the operating layer for Travel Rule compliance. You will make architectural decisions that hold across independently operated institutions while staying hands-on in design, code, and production operations.

What you'll do:

• Define the short-term and long-term strategic vision for the TRUST network and sequence it into an engineering roadmap with Product.


• Lead architecture across the network: services, protocols, and integration patterns for member discovery, address registration, counterparty identification, and secure data exchange.


• Partner with product, legal, and compliance to translate a rapidly changing regulatory landscape into designs that hold up to scrutiny.


• Lead SDKs, APIs, and infrastructure-as-code templates with engineers across the industry to cut member onboarding from weeks to days.


• Establish network reliability practices and member-facing monitoring without exposing sensitive customer data.


• Raise the engineering bar by writing critical code, leading design reviews and incident retrospectives, and mentoring engineers.

Required Skills and Experience:

Deep understanding of distributed systems, including idempotency, retries, ordering, and partial failure across independently operated services.
Proven track record of leading cross-functional teams on multi-quarter projects with measurable outcomes.
Experience owning production architecture for backend services: API design, asynchronous processing, data modeling, security, and observability.
Ability to turn ambiguous, multi-stakeholder problems into a technical strategy and explain trade-offs to technical and nontechnical partners.
Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.