Engineering Lead (Backend)

TL;DR

Engineering Lead (Backend): Designing and scaling a core automation platform for insurance operations with an accent on workflow orchestration, distributed systems, and AI integration. Focus on transforming manual insurance processes into reliable, scalable backend systems and improving overall system observability.

Location: Must be based in China (Remote)

Company

hirify.global is an insurtech company using AI and automation to power end-to-end insurance operations.

What you will do

• Lead the end-to-end design and delivery of the core automation platform.
• Architect scalable backend workflows for insurance quotes, policy issuance, and claims.
• Implement workflow orchestration logic, state management, and automation rules.
• Mentor engineers and establish high standards for system design and code quality.
• Collaborate with cross-functional teams (Product, Ops, QA, DevOps) to deliver automation capabilities.
• Drive system stability through monitoring, debugging, and root cause analysis.

Requirements

• Strong experience building production-grade backend or distributed systems.
• Proven track record of leading technical delivery for complex platforms.
• Ability to design scalable system architectures across multiple domains.
• Must be based in China.
• Hands-on engineering mindset with a strong focus on system ownership.

Nice to have

• Experience with event-driven architectures or state machines.
• Knowledge of Node, Python, or Java.
• Experience with AI/ML-enabled automation systems.
• Familiarity with cloud infrastructure, CI/CD, and observability tools.

Culture & Benefits

• Fully remote work arrangement within China.
• Opportunity to build a high-impact platform used across Southeast Asia.
• Collaboration with a global engineering team.
• Dedicated Learning & Development budget for technical and leadership growth.
• High autonomy over system direction and architecture.

Hiring process

• Application review.
• Two rounds of interviews.
• Technical discussion or practical system design exercise.