We're looking for a Staff Software Engineer to set technical direction across our core platform. It's a hands-on, high-leverage role for someone who thrives on scope and ambiguity — you'll operate across team boundaries, raise the engineering bar for everyone around you, and stay close enough to the code to build the hardest parts yourself.
What you'll drive
This is foundational work that scales R2 to the next level and reaches millions of users worldwide. You'll turn large, business-critical problems into architectures the whole org can execute against — work like:
- Large-scale decomposition — breaking tightly-coupled systems into clearly-bounded domains along both service/application and data-ownership boundaries, defining the seams and sequencing migrations so we ship incrementally without freezing product delivery.
- Event-driven systems and data lifecycle — designing event-driven architectures for things like moving stale data out of operational databases into cold storage, keeping transactional systems lean while preserving the retention, auditability, and recoverability guarantees a fintech demands.
- Agent infrastructure at scale — helping build the ecosystem where autonomous agents are deployed, discovered, and interact with our systems and each other at scale, with observability, policy, and security as first-class, non-negotiable properties.
Requirements
- 8+ years of engineering experience building API-driven services, with the appetite and ability to code on a daily basis.
- Deep expertise designing and constructing web services in REST and/or gRPC, from interface design through production operation.
- Strong track record with distributed architecture patterns, in particular microservices and monolith decomposition — you've done this at real scale, not just on a whiteboard.
- Hands-on experience designing and implementing event-driven architectures.
- Experience with change data capture (CDC) — streaming changes out of operational databases (e.g., Postgres WAL / logical replication, Debezium, or equivalent) to power replication, event pipelines, and downstream analytics.
- High proficiency with observability across all three pillars — traces, metrics, and logs. Deep hands-on experience with OpenTelemetry for instrumentation, and with metrics systems (Prometheus and PromQL, or equivalent) for defining SLIs, dashboards, and alerting — and using that telemetry to actually drive decisions.
- Solid, demonstrable refactoring ability: you can restructure large, load-bearing codebases safely and incrementally.
- Fluent with trunk-based development, feature flags, and continuous, low-risk delivery.
- Strong proficiency in Go (required). Additional experience with Java, Python, or Rust is a plus.
- Experience designing and implementing robust production data models using databases like PostgreSQL, DynamoDB, and/or Snowflake — including data lifecycle, retention, and archival concerns.
- Solid grasp of the OLTP–OLAP divide — designing transactional systems for low-latency operational workloads while feeding analytical stores (e.g. Snowflake) for reporting and analytics, and knowing where each belongs.
- Experience with containers (Docker, Docker Compose, Kubernetes).
- Hands-on experience designing and operating full-text search (e.g. Elasticsearch/OpenSearch, or PostgreSQL full-text search) in production — indexing, relevance, and query performance at scale.
- Professional working proficiency in both English and Spanish (required) — you'll collaborate across teams and markets in both languages daily.
- The judgment and communication skills to influence technical direction across teams and align engineers and stakeholders around a shared plan.