Tahar Meftah
@taharmeftah1
Experienced Staff Software Engineer with expertise in scalable systems.
What I'm looking for
As a Staff Software Engineer with over a decade of experience, I have a proven track record of designing and implementing scalable systems that drive efficiency and enhance user experiences. At Seamless.AI, I led the development of a tenant-isolated data ingestion system, integrating millions of records daily while ensuring high availability and security. My work in architecting microservices in Go significantly reduced latency and improved data query performance, showcasing my ability to leverage modern technologies for impactful results.
Previously, as a Senior Software Engineer at Amazon, I designed a recommendation engine that processed millions of user interactions in real-time, contributing to a 60% increase in transaction completion rates. My collaborative approach with cross-functional teams has allowed me to streamline processes and enhance system performance, ensuring compliance with security standards while delivering responsive user interfaces. I am passionate about mentoring junior developers and fostering a culture of continuous improvement and innovation.
Experience
Work history, roles, and key accomplishments
Staff Software Engineer
Seamless.AI
Sep 2019 - Present (6 years)
Led the design and development of a tenant-isolated data ingestion system using Ruby on Rails, TypeScript, and AWS RDS to securely integrate with external sources, syncing millions of contact/company records daily. Architected high-concurrency microservices in Go (Gin, gRPC) for real-time contact and company data queries, leveraging goroutines and channels to reduce Prospector latency by 35%.
Senior Software Engineer
Amazon
Apr 2013 - Present (12 years 5 months)
Designed and implemented a scalable recommendation engine subsystem using Java and Spring Boot, deployed on AWS EC2/ECS, enabling real-time processing of millions of user interactions. Developed core checkout workflow features, including payment processing and order validation, using AngularJS and Bootstrap for the frontend, driving a 60% increase in transaction completion rates.
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Master’s degree, Computer Science
2011 - 2013
Completed a Master's degree in Computer Science, focusing on advanced topics and research within the field. Gained in-depth knowledge and specialized skills in various computer science disciplines.
University of California, Berkeley
Bachelor’s degree, Computer Science
2007 - 2011
Obtained a Bachelor's degree in Computer Science, building a strong foundation in fundamental computer science principles. Developed core programming and problem-solving skills.
Tech stack
Software and tools used professionally
D3.js
AWS IAM
GitHub
Kubernetes
Jenkins
GitHub Actions
Salesforce
MySQL
PostgreSQL
MongoDB
Cassandra
Gmail
Node.js
Django
Spring Boot
Ruby on Rails
Next.js
Tailwind CSS
Material-UI
Google Analytics
Figma
Redis
Terraform
AngularJS
React Query
JavaScript
Java
PHP
Google Maps
HubSpot
Kafka
RabbitMQ
FastAPI
Datadog
GraphQL
Firebase
gRPC
AWS Lambda
pytest
WebRTC
SQL
Availability
Location
Authorized to work in
Job categories
Skills
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