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Staff Software Engineer - Financial Ledger Systems

Seattle, WAHybrid8+ YOE
Summary

Staff engineer anchors Seattle hub, owning design and implementation of deterministic ledger architecture for money movement, treasury, and reconciliations. Requires 8+ years backend experience in large-scale distributed systems and modern languages like Python/Go/Java.

About the role

What you will do

  • Architect the Foundation: Redesign our General Ledger and reconciliation systems to eliminate silent failures and to be deterministic.
  • Unify the Abstraction: Establish universal primitives across various historically disjointed payment systems to create a single, queryable lifecycle for every dollar moving through our platform.
  • Build the Engine: Develop a reconciliation replay and testing framework, working closely with the payments data team to replace legacy Snowflake-side recon logic.
  • Technical Leadership: Anchor the Seattle site, mentoring a pod of high-performing Senior engineers to build an execution layer decoupled from product feature velocity.
  • Cross Functional Execution: Work closely and collaborate with the Payments Data, Tax, and Accounting team to understand ledger, tax liability, accounting and regulatory reporting requirements, and to replace legacy Snowflake-side reconciliation logic by developing a reconciliation replay and testing framework.

What you will need

  • Experience: 8+ years of professional software engineering experience, with a strong track record in backend development and distributed systems.
  • Architecture: Proven ability to design large-scale, fault-tolerant systems from scratch. You understand the trade-offs between consistency and availability and know when "eventual consistency" is not enough.
  • High Agency: You thrive in ambiguity. You don't wait for a ticket to be assigned; you identify the business problem, scope the technical solution, and execute.
  • Domain Agility: You have the intellectual curiosity to master the complex domain of treasury and money movement in a matter of days, even if you don't have a background in it.
  • Tech Stack: Deep proficiency in a modern backend language (Python, Go, Java, etc.) plus experience with complex data modeling (SQL/NoSQL) and data processing framework (Spark/Flink).
Skills
PythonGoJavaSQLNoSQLSparkFlinkdistributed systemsdata modelingreconciliation systems