R-03 / Incidents / troubleshooting / observability / escalation
Senior Application Support Engineer
Senior application support engineer with more than a decade supporting and developing enterprise systems. Owns incidents end to end, traces failures across distributed services, improves monitoring and runbooks, and connects customer impact to durable engineering fixes.
01 / Experience
Professional experience
Backend Developer / DevOps
Independent Development · Remote
- Build tools in Ruby, Python, Go, JavaScript, and TypeScript for independent and client work.
- Tune databases and build API integrations for client systems.
Lead Backend Developer / Technical Team Lead
GoX Labs · Remote
- Migrated legacy services to AWS ECS and reduced infrastructure costs during a lean operating period.
- Improved SQL query performance by 25 percent through query and ORM optimization.
- Instrumented services with logging and monitoring and debugged production issues across the Ruby/Rails stack.
Software Developer - Backend
Comcast Technology Solutions · Remote
- Automated a deployment pipeline, reducing the cycle from six hours to one minute and saving approximately $300,000 per year.
- Built an RSpec suite with near-100 percent coverage plus Splunk dashboards for production monitoring and alerts.
- Built internal tools used by support teams to diagnose and operate production applications.
Technical Support Lead
Comcast Technology Solutions · Remote
- Led the support team for high-traffic media services and owned incident response end to end.
- Built Splunk dashboards tracking latency, error rates, and throughput and configured alerts to surface problems before customers reported them.
- Improved mean time to recovery through operational tooling, runbooks, documentation, and training.
- Coordinated escalations between support and engineering teams.
- Led team troubleshooting of backend issues on high-traffic services.
Application Support IV
thePlatform for Media · Seattle, Washington
- Served as the escalation point for complex production issues across distributed media services.
- Traced requests across microservices with Splunk and debugged API failures, timeouts, and data inconsistencies.
- Maintained production host health, participated in a 24/7 on-call rotation, and mentored newer engineers.
Senior Support Engineer
thePlatform for Media · Seattle, Washington
- Investigated media ingest, transcode, and publishing failures.
- Performed root-cause analysis through log correlation and communicated directly with customers during outages.
- Handled escalations and on-call response for production media workflows.
Application Support Engineer
thePlatform for Media · Seattle, Washington
- Triaged and resolved production issues in a high-volume, ticket-driven environment.
- Monitored system health, identified anomalies, and coordinated infrastructure issues with operations teams.
- Built deep system knowledge through break-fix work and high-volume incident handling.
02 / Capabilities
Technical capabilities
Observe
Signals and diagnosis
- Splunk
- Grafana
- CloudWatch
- APM / distributed request tracing with Splunk
- Dashboards / alerting
Operate
Production systems
- Linux administration
- Bash / shell scripting
- TCP/IP / DNS / HTTP(S) / VPN / SSL
- Incident response / on-call
- Root-cause analysis
- Runbooks / operational documentation
Lead
Teams and durable practice
- Technical team leadership
- Mentoring and training
- Cross-functional incident coordination
Data
Storage and performance
- PostgreSQL
- MySQL
- SQL query tuning
Build
Services, APIs, and tooling
- Ruby
- Python
- Ruby on Rails
- REST APIs
- Microservices
Ship
Cloud and delivery
- AWS ECS / EC2 / S3 / Lambda
- CloudWatch / IAM
- Docker
03 / Selected projects
Tools and systems
Comcast MPX SDK
Ruby gems and deployment tooling for MPX platform integration and cross-account media migration.
04 / Foundation
Education & recognition
Education / 2007 - 2009
Lake Washington Technical College
Associate in Computer Networking Security and Forensics
Award / Feb 2018
Comcast Starr Award
Awarded for an automated deployment system that reduced labor costs by approximately $300,000 per year.
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