Taya Steere
Senior Security Engineer at Amazon
Lynnwood, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolTaya Steere is a Senior Security Engineer with over 6 years focused on offensive security, red teaming, and cloud-native protection, now testing new AWS offerings to harden large-scale cloud services. She has built red team capabilities and reporting practices at Grammarly, led high-impact offensive operations at Amazon that saved millions in potential losses, and contributed back-end integrations to the widely used Cartography open-source project to enrich security graphs with Chrome extension risk data. Comfortable writing bespoke Python tooling and ingestion pipelines, she blends deep hands-on exploitation skills with pragmatic engineering to influence product security and IAM/CI-CD controls. Based in Lynnwood, WA, Taya also brings a long arc of infrastructure and database experience dating to early roles in federal IT, giving her a rare combination of operational, investigative, and systems-level perspective.
6 years of coding experience
27 years of employment as a software developer
Master of Science (MS) Computer/Information Technology Administration and Management, Master of Science (MS) Computer/Information Technology Administration and Management at University of PhoenixBachelor of Science (BS) Electronics Engineering Technology, Bachelor of Science (BS) Electronics Engineering Technology at DeVry University
Github Skills (18)
apim10
json10
python10
neo4j10
data-transformation10
api10
testing9
wpgraphql9
wordpress-graphql9
cypher9
graphql9
rest-api8
api-rest8
restful-api8
api-design8
Programming languages (1)
Github contributions (1)
cartography-cncf/cartography
Jul 2019 - Feb 2020
Cartography is a Python tool that consolidates infrastructure assets and the relationships between them in an intuitive graph view powered by a Neo4j database.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 reviews, 8 commits, 12 PRs in 7 months
Contributions summary:Taya focused on integrating the CRXcavator API to add Chrome extension metadata and risk scoring to the cartography tool. They developed the `crxcavator.py` module, including functions to retrieve, transform, and load data into the Neo4j database. Their work involved handling API responses, transforming JSON data, and creating ingestion cyphers. They also addressed bug fixes and made significant changes to improve the accuracy of the ingested extension data, including enhancements for risk assessment.
neo4j-databasegcppythonathenalyft
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