Staff Software Engineer, Finance Automation

Remote · Remote · Posted Sep 28, 2026

At a glance

Toast is looking for a hands-on Staff Software Engineer to join the Finance AI & Automation team within the Office of the CFO.
In this role, you will serve as a primary technical authority and builder, transforming working AI prototypes into enterprise-grade backend microservices, data pipelines, and internal tools.
You will bridge the gap between rapid AI innovation and robust systems architecture while owning lightweight frontend UI surfaces and operator tools.

Architect, code, and operate high-performance backend services using Kotlin and AWS.
Take working agentic prototypes built by Finance operators and turn them into scalable, monitored, and permissioned microservices with audit trails and automated error handling.
Build pragmatic, full-stack operator tools from backend APIs and pipelines down to lightweight UI surfaces.
Design resilient integrations across billing platforms, ERP systems, Salesforce, data warehouses, and internal Toast services using enterprise integration patterns.
Proactively engineer around SOX scope, PCI boundaries, and data access requirements alongside Security, Compliance, and Audit teams from day one.
Own end-to-end technical strategy from high-level business problems down to build sequencing.
Recognize when fixes belong in core Toast platforms, driving technical cases and clean handoffs rather than duplicating capabilities.

Proven track record as a Staff or senior-level lead engineer with deep expertise in distributed backend systems, paired with the practical ability to ship frontend UI surfaces or admin portals.
Advanced hands-on experience shipping Kotlin or strong JVM equivalent services on AWS, with deep familiarity in cloud-native backend patterns.
Practical experience productionizing LLM frameworks and agentic architectures including tool use, retrieval/RAG, evals, and context management.
Extensive experience with enterprise integration frameworks, message brokers, and distributed data stores specifically Apache Camel, Apache Pulsar, DynamoDB, and Dropwizard or direct equivalents.
Advanced data engineering instincts across SQL, warehouse modeling, pipeline design, and managing data flow/consistency across relational and NoSQL storage systems.
Ability to balance immediate high-impact automation with long-term platform scalability, accompanied by exceptional technical writing.

Extensive background in Fintech, revenue systems, automated reconciliation, or operating within strict SOX/PCI control environments.
Deep experience building internal platforms, administrative dashboards, or operator tooling for non-technical business users.
Prior experience embedded directly alongside finance, revenue, or business ops functions to solve core operational scaling challenges.