Open to opportunities

Kevin Hires

@kevinhires

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Full Stack Software Engineer (backend-focused) building scalable, secure cloud-native systems.

United States

Message

What I'm looking for

I seek backend- or platform-focused roles building scalable, secure cloud-native systems with strong emphasis on data pipelines, ML integration, and regulatory compliance.

I am a Full Stack Software Engineer with ten years of experience building high-performance, scalable systems for finance and healthcare, focused on backend architecture, cloud-native deployments, and regulatory compliance.

I have designed and implemented microservices and real-time data pipelines using Python (FastAPI, Django, Flask), Golang, and Node.js, and led migrations to serverless and containerized environments on AWS and Google Cloud while ensuring HIPAA and PCI-DSS compliance.

My work includes building anomaly detection and forecasting models, event-driven architectures with Kafka/Pulsar/Flink, vector search and graph systems, developer-facing APIs, and internal tools and dashboards that improved operational efficiency and fraud prevention across enterprise platforms.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Engineer

Current

Visa

May 2021 - Present (4 years 6 months)

Designed and implemented scalable microservices and real-time data pipelines for Visa Resolve Online, reducing latency and improving fraud detection accuracy with AI models and event-driven architecture across global payment networks.

Flask Golang Kafka GraphQL Kubernetes PostgreSQL PyTorch AWS Lambda Faiss

Backend Developer

Stanford Health Care

Apr 2018 - Apr 2021 (3 years)

Built HIPAA-compliant, cloud-native claims processing and interoperability systems using Python and Node.js, migrating legacy platforms to AWS and delivering predictive analytics to detect fraud and optimize claims workflows.

Python Django Flask Node AWS Airflow XGBoost PostgreSQL Celery Apache Flink

Full Stack Developer

Stripe

Aug 2016 - Mar 2018 (1 year 7 months)

Developed scalable backend services and ETL pipelines for finance and retail clients, improving data integration throughput and reducing query latencies through database optimizations and containerized multi-tenant deployments.