Lawrence Aiello
Staff Platform Engineer
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolLawrence Aiello is a Staff Platform Engineer with a decade of hands-on experience building cloud-native infrastructure, CI/CD automation, and resilient distributed systems for companies from startups to AWS and Capital One. He blends deep AWS, Terraform, Kubernetes and Python expertise with practical DevOps craftsmanship—having reduced costs and latency, migrated critical workloads to EKS, and authored pipelines and automation that materially sped delivery and cut errors. A contributor to cloud-custodian, Lawrence has applied open-source tooling to enforce cloud governance at scale and helped manage Okera infrastructure to protect sensitive data for hundreds of internal users. He pairs technical leadership and mentoring with a pragmatic focus on security, observability, and recoverability, and brings an early hobbyist’s curiosity—he built his first PC at 15 and now mines and studies cryptocurrencies, especially Monero.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science Computer Engineering, Bachelor of Science Computer Engineering at University of Delaware
Stackoverflow
4,588reputation
294kreached
206answers
13questions
inheritance
top-5%
radix
top-5%
java
top-5%
Github Skills (25)
unit-testing10
emr10
cloud-computing10
python10
testing10
rule-engine10
aws10
engine10
unit-test10
radix9
java9
inheritance9
serverless9
microsoft-azure7
gcp7
Programming languages (11)
Github contributions (5)
cloud-custodian/cloud-custodian
Oct 2016 - May 2017
Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:5 commits, 8 PRs, 38 comments in 7 months
Contributions summary:Lawrence primarily focused on enhancing the cloud-custodian project by adding new features and improving existing functionality. They implemented query filtering and terminate operations for EMR clusters, including associated unit tests. Additionally, the user added timezone abbreviations and removed static website hosting, demonstrating proficiency in backend operations and cloud resource management. They also addressed throttling exceptions within the EMR API call retries.
gcpquery-filterserverlesscompliancecloud-security
aiell0/global-accelerator-pulumi
Jan 2021 - Oct 2023
AWS Global Accelerator Created Using Pulumi.
Contributions:3 PRs, 3 pushes, 3 branches in 2 years 9 months
awsglobal-acceleratorpulumipulumi-aws
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