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Plaid is seeking a Staff Software Engineer to lead the technical architecture and execution of its Credit Insights platform. The Credit Decisioning platform team builds cashflow-based insights products that enable lenders to make more holistic lending decisions and expand access to credit for borrowers. You will define the future architecture of credit insights products and execute against an ambitious roadmap, partnering with Product, Data Science, and Machine Learning teams to iterate on and productionize new insights at scale.
Key responsibilities include leading technical architecture and execution across credit insights products—from data fetching and online feature serving for API requests to offline production pipelines and tooling for model training. You will scale and evolve the architecture through an expected ~100x increase in load from deterministic factors. You'll collaborate closely with cross-functional partners to develop and scale insights products that enable credit underwriting use cases, and mentor engineers while contributing to a strong, inclusive team culture.
Required qualifications include strong experience building and scaling backend products, demonstrated technical leadership skills (mentoring peers, leading projects, driving architectural decisions), and proven success building and maintaining production systems that serve and support ML models in both online and offline settings. You should have experience working closely with data science or ML teams and collaborating with cross-functional stakeholders across the engineering function. Experience in the credit or lending space is a nice-to-have.
Plaid powers financial connectivity for millions of users across thousands of companies including Venmo, SoFi, Fortune 500 firms, and major banks. The company's network covers 12,000 financial institutions across the US, Canada, UK, and Europe. Founded in 2013 and headquartered in San Francisco, Plaid has offices in New York, Washington D.C., London, and Amsterdam. The company is committed to building a diverse team and considers qualified applicants with varied backgrounds and experiences.
