Open to opportunities

Robert Ray

@robertray

Message

Staff Software Engineer specializing in full-stack, microservices, cloud and AI-enabled healthcare systems.

United States

Message

What I'm looking for

I seek senior engineering roles focused on cloud-native, scalable systems and AI/ML integration in secure, collaborative environments with opportunities to lead architecture and mentor teams.

I am a Staff Software Engineer with deep full-stack and cloud-native expertise, focused on architecting scalable microservices and AI-driven systems for healthcare and data platforms. I have designed and operated HIPAA-compliant telehealth infrastructures, high-throughput data pipelines, and real-time analytics dashboards serving millions of users.

At Amazon, I led architecture and engineering for Amazon Health's telehealth platform, built NLP and clinical analysis pipelines using PyTorch and OpenAI APIs, and implemented event-driven systems with Kafka and AWS EventBridge to ensure reliable data synchronization and low-latency APIs. At Snowflake, I developed elastic compute scaling, real-time ETL pipelines, and gRPC/Golang services to improve query throughput and system reliability.

I emphasize secure, observable, and cost-efficient cloud operations—automating deployments with Terraform and GitHub Actions, establishing observability with DataDog and Prometheus, and mentoring engineering teams in cloud-native practices, performance optimization, and robust software design.

Experience

Work history, roles, and key accomplishments

Current

Staff Software Engineer

Current

Amazon

Mar 2019 - Present (6 years 7 months)

Architected and scaled Amazon Health's telehealth platform and HIPAA-compliant APIs serving millions of patients, built AI-powered clinical pipelines that improved clinical note generation accuracy, and reduced incidents by 40% via ML-based monitoring.

Java Spring Boot Python Golang AWS Kafka GraphQL React

Senior Software Engineer

Snowflake

Jun 2013 - Feb 2019 (5 years 8 months)

Built elastic compute scaling services and real-time ETL pipelines, improving query throughput by 40% and reducing ingestion latency for petabyte-scale workloads; designed gRPC/Golang microservices for distributed query processing.