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# Staff Backend Engineer

- **Company:** AssuredPartners NL, LLC
- **Location:** Palo Alto, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $210,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Logic, Systems Engineering, Software as a Service, Cursor (Graphical User Interface Elements), Software Debugging, Distributed Systems, Fault Tolerance, Software Architecture, Software Tools, Backend, GPT
- **Published:** May 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3d1f1fa86655698d

## About the Role

Do you have experience in System design?, 8+ years of backend or full-stack engineering experience, ideally in SaaS or high-scale distributed systems environments.

Proven experience designing, scaling, and operating complex backend systems from early-stage growth through maturity.

Deep expertise in distributed systems, APIs, data modeling, infrastructure, and backend architecture patterns.

Strong proficiency with modern AI engineering workflows and tooling. You actively use AI to improve development speed, problem solving, system understanding, and operational efficiency.

Strong execution mindset with the ability to balance rapid iteration against long-term reliability and maintainability.

Experience building secure, observable, fault-tolerant systems in production environments.

Collaborative and pragmatic approach. You work effectively across engineering, product, infrastructure, and data teams.

Adaptability and engineering judgment matter more to us than specific frameworks or languages.

## Description

Own major areas of backend architecture, including APIs, distributed systems, data models, infrastructure, and core business logic.

Use AI-assisted engineering tools (e.g. Cursor, Claude Code, Copilot, ChatGPT, Devin, or similar) as part of your daily workflow to accelerate development, debugging, testing, documentation, and operational efficiency.

Identify opportunities to integrate AI into both internal engineering systems and customer-facing platform capabilities.

Design, build, test, deploy, and iterate on production systems end-to-end with a focus on reliability, scalability, and maintainability.

Architect systems capable of supporting increasing scale, complexity, and evolving customer workflows.

Define and implement modern testing, observability, and operational practices that improve system resilience and developer velocity.

Build scalable abstractions, internal frameworks, and platform capabilities that enable faster product development across teams.

Drive technical direction and contribute to long-term architectural decisions around performance, security, scalability, and platform evolution.

Mentor engineers across the organization, sharing best practices and helping raise the technical bar for backend engineering and system design.


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