Staff Software Engineer, Credit Insights Platform

Speedrun Talent Network; New York, Northern (NY, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Plaid seeks an experienced backend leader to define the future architecture of Credit insights products and drive scalable data pipelines and model training tooling. You will partner with Product, Data Science, and ML teams to productionize insights that enable holistic lending decisions.

The role entails ownership of API data fetch, online feature serving, and offline pipelines, with a focus on mentoring engineers and fostering an inclusive team culture.

Qualifications

• Strong experience building and scaling backend products.
• Strong technical leadership skills, including mentoring peers, leading projects and driving architectural decisions.
• Demonstrated success in building and maintaining production systems that serve and support ML models, both in online and offline settings - as well as working closely with data science or ML teams.
• Experience collaborating with cross-functional stakeholders and with teams and leaders across the engineering function.
• [nice-to-have] Experience working in the credit or lending space.

Responsibilities

• Leading technical architecture and execution across credit insights products: everything from data fetching and online feature serving for API requests, to offline production pipelines and tooling for model training.
• Scaling and evolving the architecture through an expected ~100x increase in load from deterministic factors
• Collaborating closely with Product, Data Science, and Machine Learning partners to develop and scale insights products that enable Credit underwriting use cases
• Mentoring engineers and contributing to a strong, inclusive team culture.

Skills

Backend scaling

Technical leadership

ML production systems

Cross-functional collaboration

Credit lending experience

Job description

Plaid seeks an experienced backend leader to define the future architecture of Credit insights products and drive scalable data pipelines and model training tooling. You will partner with Product, Data Science, and ML teams to productionize insights that enable holistic lending decisions.

The role entails ownership of API data fetch, online feature serving, and offline pipelines, with a focus on mentoring engineers and fostering an inclusive team culture.