JARED PRUDHOMME
@jaredprudhomme
Senior software engineer building reliable distributed payment and fraud systems.
What I'm looking for
I’m a results-driven Senior Software Engineer with 15+ years of experience building and scaling large-scale distributed systems and payment infrastructure at Google and Amazon. I focus on delivering high-impact backend platforms for real-time transaction processing, fraud detection, and cloud observability under strict SLOs.
I’ve architected and operated high-availability payment processing and fraud risk systems, supporting global transaction workflows with sub-second latency. By using scalable microservices and event-driven architectures, I reduced transaction latency by 30% and improved system throughput by 40%.
I also design large-scale telemetry and data processing pipelines using streaming and batch frameworks. This work enabled real-time analytics and monitoring across thousands of services—improving query performance by 35% and reducing incident diagnosis time by 30%.
With strong expertise in distributed systems, microservices architecture, and production-grade reliability, I implement distributed tracing, monitoring, and fault tolerance. I’ve integrated machine learning models into production risk systems (including Vertex AI) to reduce false positives by 20% and improve fraud precision while maintaining PCI-DSS compliant architecture.
Experience
Work history, roles, and key accomplishments
Led development of AI-driven payment authorization and fraud risk systems, enabling real-time risk-aware decisioning across distributed payment infrastructure and risk engines. Architected and operated high-availability microservices and built observability, streaming fraud detection pipelines, and AI model integrations for global, high-volume transaction processing.
Designed and built scalable time-series telemetry ingestion systems and gRPC-based backend APIs in a distributed microservices architecture. Developed streaming/batch telemetry pipelines, Borg-based distributed tracing, and SLI/SLO-driven monitoring and dashboards to improve query latency and incident diagnosis time.
Built B2B procurement, entitlement, SaaS licensing, and subscription provisioning backend systems for healthcare and life-science applications. Developed security/compliance automation and event-driven data integration services for HIPAA/GxP standards and AWS data storage/analytics workflows.
Engineered mission-critical shipping rate and availability services used by many client applications at high transaction scale. Served as a founding engineer on an internal configuration-management platform, building core proposal management APIs and improving components to meet strict SLAs on large-scale datasets.
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Bachelor of Science (BS), Electrical Engineering & Computer Science
2006 - 2010
Bachelor of Science degree in Electrical Engineering & Computer Science from 2006 to 2010.
Tech stack
Software and tools used professionally
Amazon Redshift
Apache Spark
Google Cloud Platform
Amazon S3
Kubernetes
PostgreSQL
MongoDB
Gmail
Rollout
Node.js
Django
Spring Boot
Ruby on Rails
Next.js
Tailwind CSS
Redis
AngularJS
JavaScript
HTML5
Java
Kafka
RabbitMQ
Grafana
Prometheus
OpenTelemetry
GraphQL
gRPC
OAuth2
Apache Beam
Time Analytics
Root Cause
Amazon Web Services (AWS)
SQL
Bash
Scale AI
Beam
Availability
Location
Authorized to work in
Job categories
Skills
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