Angela Gordon
Business Applications Engineer
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAngela Gordon is a Business Applications Engineer with 11+ years of experience building integrations, APIs, and cloud-native services for enterprise quote-to-cash and entitlement systems. She has led technical design and delivery of licensing and deal-tracking platforms at FireEye and Mandiant, and now drives business application engineering at Google, often bridging product, support, and finance teams. Her hands-on stack spans Boomi integrations, Oracle Fusion and Salesforce connectors, Ruby on Rails services, Postgres/Redis, and AWS infrastructure (EC2, ECS, ALB, Step Functions) with CI/CD via Jenkins, Terraform, Packer and Ansible. Angela is also an active open-source contributor to prominent Python projects—including google-cloud-python and opencensus-python—where she improved logging/tracing and distributed instrumentation. Known for turning complex enterprise workflows into reliable, auditable services, she combines deep backend engineering with operational support to keep customer-facing systems resilient. A long-tenured engineer, she brings rare continuity across legacy enterprise systems and modern cloud architectures.
11 years of coding experience
16 years of employment as a software developer
UC Irvine, ExtensionUniversity of California, Irvine
Stackoverflow
21reputation
667reached
1answer
1question
Github Skills (18)
tracer10
back-end-development10
python10
apidoc10
instrumentation10
gcp10
api10
logging10
trace10
grpc10
flask-ask9
django9
distributed-tracing9
flask9
sql-database8
Programming languages (9)
Github contributions (5)
census-instrumentation/opencensus-python
Jul 2017 - May 2019
A stats collection and distributed tracing framework
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 releases, 92 commits, 225 PRs in 1 year 10 months
Contributions summary:Angela implemented core features of the opencensus-python library related to tracing and instrumentation. They added support for trace, span context, and reporters, including the implementation of classes and methods related to trace spans, contexts, and reporting mechanisms. They also worked on integrating with various frameworks and libraries, such as Django, Flask, gRPC, and different database libraries, thereby expanding the library's usability in various contexts. Furthermore, they introduced the concept of blacklisting paths to filter out unnecessary tracing events.
distributed-tracing
googleapis/google-cloud-python
May 2017 - Dec 2018
Google Cloud Client Libraries for Python
Role in this project:Back-end Developer
Back-end DeveloperContributions:1 release, 16 commits, 27 PRs in 1 year 6 months
Contributions summary:Angela primarily contributed to the backend of the Google Cloud Python client library. Their work involved refactoring logging mechanisms, specifically migrating from writing logs to `/var/log/app_engine/` to utilizing the Stackdriver logging API. They also added trace context support for web applications, improving the library's integration with distributed tracing systems. Additionally, the user worked on automatically generating the trace library.
google-cloudpython
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