Available to hire
Hi, I’m Tyler Gomez, a Staff Software Engineer with 10+ years of experience building secure, scalable, and data-driven SaaS platforms that power healthcare and enterprise solutions. I specialize in architecting event-driven microservices, HIPAA-compliant systems, and intelligent dashboards that improve operational efficiency and clinical decision-making.
I’ve led cross-functional teams, modernized cloud infrastructure on AWS, and integrated AI-powered automation to deliver measurable performance, security, and business impact.
Skills
Language
English
Fluent
Work Experience
Staff Software Engineer at ServiceNow
January 1, 2020 - PresentLed the AI-driven healthcare workflow applications used by internal clinicians, case managers, and administrative staff cross multiple U.S. health systems. Architected event-driven microservices with Kafka and REST APIs, enabling asynchronous data processing and improving scalability by 40%. Designed dashboards for clinical workflows and patient analytics using D3.js, built secure API gateways with OAuth2.0, JWT, and granular RBAC ensuring HIPAA and HITRUST compliance across distributed services and external integrations. Developed AI-assisted features using OpenAI and Now Assist, including clinical note summarization and care plan recommendations, reducing manual documentation time by 25%. Implemented real-time data synchronization and offline-ready client caching; improved observability with Datadog, ELK Stack, and Prometheus; migrated legacy monoliths to containerized microservices with Docker/Kubernetes/Terraform; established CI/CD pipelines via GitHub Actions; mentored engineers;
Senior Software Engineer at Databricks
July 1, 2016 - December 1, 2019Contributed to modernization of internal and customer-facing data visualization and analytics products focusing on scalability and real-time data insights, data warehousing, and scalability. Migrated legacy visualization tools to React.js, TypeScript, and D3.js; designed data warehousing solutions using AWS Redshift, Snowflake, and Delta Lake; built real-time streaming pipelines with AWS Kinesis, Lambda, and Python; collaborated with data engineers to optimize ETL workflows in Spark and SQL; designed backend APIs in Node.js and Java; developed data modeling standards and partitioning for multi-tenant analytics; containerized microservices with Docker and Jenkins CI/CD; partnered with data science teams to define data contracts and improve time-to-insight for enterprise customers.
Education
Bachelor’s Degree in Computer Science at University of Florida
August 1, 2011 - May 1, 2015Qualifications
Industry Experience
Healthcare, Software & Internet, Professional Services, Life Sciences, Other
Skills
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