Principal Software Engineer, Unsecured Installments - Upstart

Key Responsibilities

• Architect and build scalable, low‑latency services that generate real‑time credit risk predictions for unsecured installment products.
• Design, implement, and maintain end‑to‑end machine‑learning pipelines, from feature engineering to model deployment and monitoring.
• Collaborate with data scientists, product managers, and infrastructure teams to translate business requirements into robust software solutions.
• Drive best practices for cloud native development, including CI/CD, container orchestration (Kubernetes), and observability on AWS.
• Mentor senior engineers, conduct code reviews, and champion a culture of technical excellence and continuous improvement.

Requirements

• 10+ years of software engineering experience, with a strong focus on backend systems for high‑throughput, data‑intensive applications.
• Expertise in Python and Java, and proven ability to build and productionize machine‑learning models at scale.
• Deep knowledge of AWS services (e.g., EC2, S3, Lambda, SageMaker) and container orchestration using Kubernetes.
• Experience with distributed systems, micro‑service architectures, and performance optimization.
• Strong problem‑solving skills, ability to lead technical initiatives, and excellent communication with cross‑functional teams.