Software Engineer II (Full Stack, Backend-leaning)

Role Overview

Join Jerry's Core Marketplace Automation Team as a Software Engineer II to build automation systems that enable millions of users to self-serve, stay insured, and enjoy seamless experiences. Your code will directly impact millions of end users daily by automating complex insurance servicing tasks and scaling business operations efficiently.

Key Responsibilities

• Build end-to-end automation systems for complex insurance servicing tasks (policy endorsements, cancellations, document uploads, reinstatements)
• Develop backend business logic that drives automations while respecting complex insurance carrier rules
• Design backend pipelines that sync customer policy data, deliver timely alerts, and power seamless re-shopping experiences
• Optimize and scale internal tools to reduce agent intervention to near zero
• Ship new automations in 1-2 week sprint cycles
• Collaborate with product, data, and engineering teams to anticipate churn and improve retention
• Work asynchronously across time zones with strong written communication
• Continuously improve backend systems, APIs, and microservice architecture

Requirements

• Minimum 2 years of full-stack engineering experience building production-grade software
• Ideally prior experience with large-scale distributed systems for consumer-facing applications
• Strong foundations in data structures, algorithms, and systems design
• Strong problem-solving skills with ability to tackle ambiguous problems and iterate quickly
• Ownership mentality and responsibility for end-to-end outcomes
• Excellent asynchronous collaboration and communication skills
• Curiosity and adaptability; willingness to explore new tools and step outside comfort zone

What Makes This Special

• Real-world impact: Code touches millions of users daily
• Fast-moving environment: Zero bureaucracy; pitch ideas and see them live in days
• Strong team: Brilliant, supportive engineers, product managers, and data scientists
• Flexibility: Remote-friendly with flexible work arrangements, including international options
• Growth opportunities: High ownership, rapid leveling, and mentorship potential
• Learning culture: Early exploration of AI/LLM tools and new technologies