Principal Software Engineer, Insurance

JPMorgan Chase

Quick summary

Work type: On-site
Location: Columbus, OH
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $188k

$132k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $161,375–$213,750.

Based on 239 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 439 open roles on FindRole.

Listed pay typically runs $148,625–$212,500 across 228 roles with salary data.

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At a glance

TL;DR · Principal Software Engineer, Insurance

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As a Principal Software Engineer at JPMorgan Chase within the Consumer & Community Bank, you will lead the technical development of an AI-native insurance platform, focusing on policy management, quoting engines, carrier integrations, and customer experiences. Your responsibilities include designing agentic workflows, integrating large language models (LLMs), and establishing standards for AI-assisted development across the organization. You will also coach teams on modern engineering practices, conduct code reviews, and ensure robust security measures while staying updated with emerging technologies. This role requires expertise in AI coding assistants, cloud-native applications, and hands-on experience with Kubernetes, service mesh, Kafka, API gateways, and SQL/NoSQL databases. Your work will significantly impact the digital insurance platform for millions of small business clients, driving innovation and deepening relationships within a leading financial services brand.

Skills

AI-coding-assistants agentic-workflows LLM-integration-patterns Kubernetes PostgreSQL distributed-SQL-databases observability-tools Java Python Node.js API-gateways SQL-NoSQL-databases cloud-native-applications CI/CD

What you'll do

Architect and build core technical systems for a digital insurance platform.
Design agentic workflows and integrate LLMs to establish AI-native patterns.
Promote adoption of AI-augmented engineering practices through coaching and reviews.
Identify and mitigate technology-related risks, ensuring compliance and security.
Evaluate emerging technologies and promote modern frameworks within the team.

What we're looking for

Expert-level proficiency with AI coding assistants and ability to coach teams.
Deep experience designing and implementing agentic systems in production environments.
Hands-on experience building or integrating digital insurance platforms.
Expert knowledge in cloud-native application development using Kubernetes, Kafka, etc.
Practical system design and operational stability for large-scale digital platforms.
Advanced knowledge of software application development and technical processes.
Experience applying expertise to solve complex technology problems.

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