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Prism Data is building the future of credit risk assessment using modern data science and transaction-level financial data. Our API-based platform enables banks, fintechs, and lenders to use automated cash flow underwriting—analyzing detailed banking history in real time—to improve credit decisions, expand approvals, and reduce losses.
Job Responsibility:
Contribute to Prism’s engineering culture by collaborating and ideating with other engineers on product development and solution design
Participate in code reviews, on-call rotations, observability design, and post-incident reviews—maintaining the foundation of a culture of excellence and accountability
Develop proficiency in building and operating APIs that expose ML models and data-driven insights to other businesses and partners
Maintain and enhance the kubernetes infrastructure stack that supports Prism’s APIs
Ensure reliability and uptime of services through use of automated testing and observability tooling
Partner cross-functionally with product, legal, and go-to-market teams to cohesively develop new projects that expand cash flow analytics use cases
Requirements:
Software engineering experience, ideally in a high-growth or early stage startup
Effective communicator and teammate with ability to collaborate and negotiate on implementation decisions
Familiarity with modern software development technologies, with eagerness to learn Prism’s tech stack and contribute to experiments with new tooling
Strong programming skills in Python, and ideally hands-on experience with GRPC and RESTful APIs