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Jeremy Jalnos

@jeremyjalnos

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Senior Backend Developer specializing in scalable systems and security.

United States

Message

What I'm looking for

I am looking for a role that challenges my technical skills and offers opportunities for growth in a collaborative environment.

As a Senior Backend Developer with extensive experience in optimizing high-performance systems, I have successfully scaled wallet management systems to over 10 million users at Coinbase, significantly improving latency and security protocols. My expertise in Python and various frameworks has enabled me to lead migrations to event-driven microservices, enhancing system scalability and integration with blockchain technologies.

Throughout my career, I have consistently focused on improving user experience and system reliability. At Stripe, I developed a real-time fraud detection system that reduced fraudulent transactions by 25% and automated invoice generation processes, showcasing my ability to leverage technology for operational efficiency. My commitment to mentoring junior developers and fostering a culture of knowledge sharing has been a cornerstone of my professional journey.

Experience

Work history, roles, and key accomplishments

Current

Senior Python Backend Engineer

Current

Coinbase

Aug 2021 - Present (3 years 10 months)

Scaled wallet management system to over 10 million users by optimizing Django-based APIs and PostgreSQL queries, reducing latency by 30% under peak load conditions. Enhanced cold storage security protocols, reducing vulnerability to cyberattacks by 60% through multi-signature authentication and hardware security modules. Led migration of legacy wallet services to event-driven microservices, enabli

Python Django PostgreSQL AWS Docker Kubernetes Elasticsearch Apache Airflow NLP

Python Backend Engineer

Stripe

Nov 2018 - Jun 2021 (2 years 7 months)

Scaled high-volume transaction processing system to handle over 500K transactions per second, reducing latency by 25% through Kafka and Spring Boot optimizations. Built a real-time fraud detection system in collaboration with the data science team, reducing fraudulent transactions by 25% using machine learning models. Extended RESTful APIs for payment processing, serving over 10M daily requests wi

Python Kafka Spring Boot Machine Learning RESTful APIs Docker Kubernetes Data Pipelines ETL

Backend Engineer

Crimson Hexagon

Jan 2016 - Oct 2018 (2 years 9 months)

Supported the development of a social media data mining system, analyzing over 1 billion posts daily using Python and Elasticsearch, enabling real-time insights for enterprise clients. Assisted in improving sentiment analysis accuracy to 85% by enhancing NLP models and helped reduce spam incidents by 50% by integrating machine learning-based content moderation systems. Extended RESTful APIs for so

Python Elasticsearch NLP Machine Learning RESTful APIs Data Mining Django

Education

Degrees, certifications, and relevant coursework

University of Arizona

Bachelor of Science, Computer Science

Studied computer science, focusing on foundational principles and practical applications. Gained expertise in various programming paradigms and software development methodologies.