Roilan Roman
@roilanroman
Experienced Staff Software Engineer specializing in cloud solutions and AI.
What I'm looking for
As a Staff Software Engineer at Amazon, I have led the backend development of a HIPAA-compliant telehealth platform, significantly reducing appointment wait times by 35%. My expertise in integrating advanced technologies like AI triage bots and video conferencing has transformed patient care across 500+ clinics. I have also successfully migrated microservices to an event-driven architecture, ensuring data privacy and compliance with stringent regulations.
Prior to Amazon, I served as a Site Reliability Engineer at Datadog, where I designed a large-scale data pipeline that processed over 10TB of data daily. My innovative solutions, such as a Kafka/Go-based intake-to-storage pipeline, achieved an impressive 99.99% uptime and improved throughput by 200%. My passion for leveraging cloud technologies and building efficient systems drives my commitment to delivering high-quality software solutions.
Experience
Work history, roles, and key accomplishments
Staff Software Engineer
Amazon
Jan 2021 - Present (4 years 5 months)
Led backend development of a HIPAA-compliant telehealth platform, integrating video conferencing, EHR, and AI triage bots, which reduced appointment wait times by 35%. Migrated 10+ microservices to an event-driven architecture and implemented end-to-end encryption, reducing data breach incidents by 90%. Led migration to AWS cloud, leveraging Docker and Kubernetes, achieving 99.9% uptime and a 20%
Site Reliability Engineer
Datadog
Dec 2016 - Dec 2020 (4 years)
Designed and implemented a large-scale data pipeline processing 10TB+ daily, serving as core infrastructure for Datadog’s monitoring platform, enabling real-time analytics. Built a Kafka/Go-based intake-to-storage pipeline supporting 1M+ events/sec, achieving 99.99% uptime through dynamic partitioning and fault-tolerant design. Developed a hybrid storage system combining Redis and AWS S3, reducing
Education
Degrees, certifications, and relevant coursework
University of Florida
Bachelor of Computer Science, Computer Science
Grade: 3.8
Studied core principles of computer science, encompassing programming languages, data structures, and algorithms. Gained expertise in software development methodologies and problem-solving techniques.
Availability
Location
Authorized to work in
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