Principal Engineer

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CashFlo

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

💸 Finance

💳 Fintech

☁️ SaaS

Finance • Fintech • SaaS

CashFlo is a comprehensive financial automation platform that streamlines vendor management, invoice reconciliation, and dealer financing. The company offers a robust suite of products that automate accounts payable processes, enhance compliance, and optimize working capital management for businesses. With a focus on reducing manual work and errors, CashFlo provides innovative solutions that significantly improve cash flow and financial transparency for companies of all sizes.

📋 Description

• Own end-to-end architecture for high-concurrency, high-availability platform services, from design through production operability. • Define and drive adoption of architectural patterns (event-driven microservices, multi-tenant SaaS, distributed locking/coordination) across multiple engineering teams. • Partner with Product, Risk/Compliance, and cross-functional engineering teams (Payments, Onboarding, DevOps) to translate business goals into platform capabilities. • Establish and champion engineering best practices: blameless post-mortems, proactive health monitoring, and structural fixes over firefighting. • Directly mentor senior and staff-level engineers; act as a force multiplier for technical decision-making across the org. • Drive down operational toil through automation, self-service tooling, and platform abstractions that let other teams move faster independently. • Represent engineering in architecture reviews, technical due-diligence, and cross-org planning.

🎯 Requirements

• 7+ years of professional software engineering experience, with a track record of owning systems at scale in production. • Proven experience architecting and scaling backend platforms handling significant user growth (e.g., 10x-20x) or transaction volume, ideally in fintech, payments, or another regulated domain. • Deep expertise in distributed systems design: microservices, async workflow orchestration (e.g., Temporal or equivalent), event-driven architecture, and data consistency trade-offs. • Strong hands-on experience with at least one of Java or Python, and the ability to review and guide code across languages/stacks. • Experience with cloud infrastructure and platform tooling (AWS, Kubernetes, Terraform, CI/CD pipelines) and observability stacks (Prometheus, Grafana, Datadog, or similar). • Demonstrated ability to lead cross-functional engineering initiatives and mentor engineers. • Excellent written and verbal communication; comfortable driving alignment across engineering, product, and compliance stakeholders. • Experience working with enterprise ERP integrations (SAP, Oracle, or similar) is a plus, especially around master data sync, financial workflows. • Hands-on experience with agentic development is required — you regularly build with and orchestrate AI coding agents (e.g., Claude Code, Cursor, GitHub Copilot Agent Mode) as part of your day-to-day engineering workflow, not just as an occasional autocomplete tool. • Working knowledge of ETL and data pipeline design is a plus; hands-on experience with AWS Glue is preferred. • SFTP/EDI, webhooks, API gateways, batch reconciliation