Max Regan
@maxregan
Staff software engineer leading scalable payment platforms and AI-driven voice experiences end to end.
United StatesWhat I'm looking for
I’m a Staff Software Engineer with 11+ years leading the design and delivery of scalable systems that support billions of payment events annually with 99.999% high availability.
I own features end-to-end—from architecture through reliable production deployment—turning ambiguous requirements into dependable services and intuitive user experiences, including AI/ML-powered fraud detection and intelligent voice experiences.
At Stripe, I led technical design and implementation of core distributed microservices for the Billing platform, delivering sub-100 ms p99 latency and supporting large-scale events with highly optimized observability. I also integrated ML-based fraud detection (Radar) for real-time risk scoring and executed phased zero-downtime migrations of legacy billing and subscription systems with zero customer impact.
I’ve built and evolved customer-facing voice and smart-home capabilities as an engineer at Amazon, including Alexa Routines and contactless voice features, improving customer engagement and retention. I’m a collaborative technical leader who mentors engineers, provides clear architecture guidance, and drives strong cross-functional delivery in agile environments.
Experience
Work history, roles, and key accomplishments
Led technical design and implementation of Stripe Billing microservices, achieving 99.999% high availability and sub-100 ms p99 latency while supporting billions of payment events annually. Migrated legacy billing/subscription platforms to AWS cloud-native services with zero customer impact and managed infrastructure, Terraform, and CI/CD at massive scale.
Enhanced Alexa Routines using Python, Go, and AWS CI/CD pipelines, delivering 4× higher customer engagement and 40% better retention. Scaled the smart-home platform using ECS and SageMaker with secure VPC controls and launched contactless voice with secure Amazon Pay integration.
Owned natural multi-turn conversations for speech recognition and understanding using deep learning, improving user retention. Led smart-home voice-control integrations (Zigbee/Z-Wave/third-party) and improved the React-based Skill Builder, boosting loyalty and holiday sales.
Developed core components for the Alexa Skills Kit launch using Java, Go, and React, enabling thousands of new voice experiences. Built full-stack Echo/Echo Dot features with Python and DynamoDB and optimized backend systems with AWS Lambda and CloudFront for surging traffic.
Education
Degrees, certifications, and relevant coursework
Carnegie Mellon University
Bachelor of Science in Computer Science, Computer Science
2011 - 2015
Bachelor of Science in Computer Science at Carnegie Mellon University from 2011 to 2015.
Tech stack
Software and tools used professionally
Apache Spark
Stripe Billing
D3.js
GitHub
Kubernetes
Jenkins
GitHub Actions
dbt
MySQL
PostgreSQL
MongoDB
Gmail
Node.js
Spring Boot
Ruby on Rails
Next.js
Redis
Terraform
styled-components
JavaScript
Java
Kafka
Istio
Grafana
Prometheus
Amazon Pay
Datadog
Apollo
GraphQL
gRPC
AWS Lambda
Serverless
pytest
JUnit
Airflow
SQL
LangChain
Playwright
Ray
OpenAI API
Great Expectations
ArgoCD
Bash
Remote
X++
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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