Software Engineer II (Full Stack, Backend-leaning)

Role Overview

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

Key Responsibilities

• Build end-to-end automation systems handling complex insurance servicing tasks (policy endorsements, cancellations, document uploads, reinstatements)
• Design and compose backend business logic that drives automation while respecting complex insurance carrier rules
• Create 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 nearly zero
• Collaborate with product, data, and engineering ops teams to anticipate churn and improve customer retention
• Ship new automations in 1–2 week sprint cycles
• Continuously improve backend systems, APIs, and microservice architecture
• Work asynchronously across time zones with minimal meetings

Requirements

• At least 2 years of full stack engineering experience building production-grade software
• Strong foundations in data structures, algorithms, and systems design
• Experience building large-scale distributed systems for fast-growing consumer-facing software (preferred)
• Problem-solving mindset with ability to tackle ambiguous problems and iterate quickly
• Strong sense of ownership and responsibility for end-to-end outcomes
• Comfortable working asynchronously across teams and time zones with excellent communication
• Curiosity and adaptability; enthusiasm for learning new tools and understanding the bigger picture

Why Join

• Real-world impact on millions of users
• Minimal bureaucracy with ability to pitch, implement, and ship ideas quickly
• Supportive team environment encouraging innovation and collaboration
• Flexibility to explore emerging technologies like AI/LLM tools
• Remote-friendly and flexible work arrangements, including international options
• Significant ownership opportunities, fast skill development, and mentorship potential