Ryan Doherty Email & Phone Number

Palo Alto, California, Us

San Francisco, Ca, Us

Staff software engineer on the Managed TLS Product Experience team. Leading platform improvements for scalability, operability and resilience of our managed TLS product. Mentoring engineers, fixing tricky bugs and driving larger organizational initiatives such as OTEL tracing.* Migrated TLS API infrastructure off of EC2 based infrastructure to Kubernetes and Envoy* Trained team on K8s and Envoy dos/don'ts and gotchas.* Root caused multiple performance and scalability issues with TLS API infrastructure, reducing overall database slow queries by 4x and CPU load by 30%.* Led initiative to use YARD formatted docblocks for API codebase, increasing code readability and clarity.* Led data based oncall review process that identified oncall issues for engineers.* Led OTEL tracing initiative for my department via presentations, trainings and documentation. Tracing identified multiple system issues that could not have been diagnosed with metrics or logging.

Sunnyvale, Ca, Us

Full stack tech lead for internal incident triage & mitigation tooling team, focusing on team strategy and technical processes. Optimized Python tests to run 5x faster, led initiative to reduce tech debt and improve operability. Led a virtual team to build a proof of concept realtime distributed tracing system using Kafka, Golang, Elasticsearch and Jaeger. Defined scope, planned work, removed road blocks for team, profiled & optimized Golang code to achieve 30% increase in throughput (millions of events/second processing overall). Tech lead for internal operational metrics pipeline and system. Led team to create standards for code quality, process and documentation guidelines. Responsible for infrastructure and functionality in Python, MySQL and EmberJS

Sunnyvale, Ca, Us

Responsible for resilience, capacity planning and performance of LinkedIn's API, news feed and various other consumer-facing applications. Drove incident response to oncall issues, trained software engineers on tooling, incident response and debugging. Led dozens of retrospectives for incidents that improved API resilience and incident response performance.Led virtual team working on a failure analysis tool that analyzed page load failures to find potential causes such as API failures, Javascript errors, etc. Wrote core functionality in Python, JavaScript, MySQL and MongoDB. Collaborate with leadership on project goals, team dynamics and mentorship of teammates.

San Francisco, California, Us

Integrated over a dozen MLS data feeds into RealScout's MLS data pipeline, entailing data exploration via RETS and PostgreSQL, data mappers in Ruby, importers in Go, AWS CloudFormation templates, AWS Lambdas in Python and AWS Kinesis.Worked on multiple teams to build various large features for realscout.com in Ruby, React and Postgres, including BrokerIQ (monthly reports for brokerage-wide agent and homebuyer activity), disclosure request tools and a new messaging platform for agents.Improved site reliability and performance through improved logging, metrics and monitoring tools. Mentored other engineers and gave presentations on how to add logging and metrics to their code and infrastructure for better visibility.Created an on-call team of engineers to handle site issues, setup critical alerts and runbooks.

Designed, built and launched Podium frontend, a realtime telemetry streaming platform for racing data. https://podium.live in Ruby, NodeJS and PostgreSQLDesigned and built JSON REST API for Podium data for RaceCapture mobile app to fetch data and for 3rd party clients. API is browsable via the web with OAuth 2.0 and cookie based authentication. Devops and feature development for realtime streaming backend of racing telemetry data for Podium.Also responsible for customer support, mobile and desktop app engineering (Python/Kivy), testing, sales and various other responsibilities.

Mountain View, Ca, Us

Designed, built and deployed (with a co-developer and ops advisor) Phantom Renderer; a scalable distributed proxy service that renders JavaScript built webpages for search engines. This service combined NodeJS, PhantomJS, haproxy and EC2 to render hundreds of webpages per second.Implemented a SnowPlow data collection pipeline that collected, aggregated and processed millions of requests per day into a RedShift database cluster for use with Looker.Improved overall developer communication and effectiveness through unit test education, building a CI pipeline and deployment tooling, gave presentations about infrastructure and monitoring to developers and automated repetitive tasks.

Frontend engineering, performance optimization and scaling for websites. Worked with multiple startups, helping them with performance issues, building websites and general technology implementations.

San Francisco, Ca, Us

Worked on addons.mozilla.org, Graph Server, Community Store (http://communitystore.mozilla.org), Personas (getpersonas.com) and frontend standards and improvements for all Mozilla websites. Primarily used PHP, JavaScript and MySQL.Built and launched Download Day website (http://www.spreadfirefox.com/worldrecord) to promote Mozilla's attempt to set the world record for most downloads of an application in 24 hours.Managed Graph Server (http://graphs.mozilla.org) team, project goals and direction. Optimized JavaScript and Python code to display thousands of datapoints graphically in very old and slow web browsers.Responsible for preparing getpersonas.com website for integration with Firefox 3.6.Evangelized frontend performance for all Mozilla websites.