Lead Payment Platform Engineer – Cloud-Native & Hybrid

American Family Insurance

Alabama

Hybrid

USD 131,000 - 220,000

Full time

11 days ago
Application generator

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Benefits offered by this job

Medical, dental, vision
401(k) and pension
Annual incentive
9 paid holidays
Paid time off (23 days)
Student loan repayment
Paid-family leave

Job summary

American Family Insurance in Madison, WI is seeking a Lead Application Development Engineer to guide the secure, scalable payment platform from concept through production, shaping its architecture and roadmap.

You will mentor engineers, collaborate with product, architecture and business teams, move legacy solutions to cloud-native microservices, and apply AI-enabled practices to improve quality, speed, and reliability across the enterprise. Hybrid role with travel.

Qualifications

  • Approximately 10+ years in software engineering and enterprise delivery.
  • 7+ years with Java/Spring Boot or comparable backend tech.
  • Experience building cloud-native apps on AWS with microservices.

Responsibilities

  • Own the technical direction for secure, scalable payment apps from concept to production.
  • Modernize legacy solutions with cloud-native, microservices, API, event-driven patterns.
  • Turn complex needs into designs and delivery plans with cross-functional teams.
  • Lead development for high-risk capabilities and ensure production readiness.
  • Mentor engineers and drive engineering excellence across design, testing, and security.

Skills

Java
Spring Boot
Cloud-native
Microservices
REST APIs
Event-driven
AWS
CI/CD
Leadership
Mentoring

Education

Bachelor’s degree or equivalent

Tools

AWS
CI/CD
Kubernetes

Job description

American Family Insurance in Madison, WI is seeking a Lead Application Development Engineer to guide the secure, scalable payment platform from concept through production, shaping its architecture and roadmap.

You will mentor engineers, collaborate with product, architecture and business teams, move legacy solutions to cloud-native microservices, and apply AI-enabled practices to improve quality, speed, and reliability across the enterprise. Hybrid role with travel.

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