Lead Programmer Resume Example

Staff Software Engineer & Technical Lead · Meta

Menlo Park, CA · 2021 - Present

• Led a team of 5 engineers in designing and implementing a new distributed caching service for social graph data, reducing average query latency by 30% for over 500 million daily active users.
• Architected and oversaw the migration of critical legacy services to a modern microservices architecture, improving deployment frequency by 25% and achieving 99.99% uptime for core functionalities.
• Mentored and provided technical guidance to 3 junior and mid-level engineers, accelerating their project contributions by 40% and fostering a culture of technical excellence and code quality.
• Spearheaded initiatives to optimize database interactions and data serialization formats, resulting in a 15% reduction in infrastructure costs and a 20% increase in data processing throughput.
• Contributed extensively to system design reviews for high-impact projects, ensuring scalability, reliability, and maintainability across multiple engineering teams.

Senior Software Engineer · Salesforce

San Francisco, CA · 2018 - 2021

• Developed and maintained high-performance backend APIs for the core CRM platform using Java and Spring Boot, supporting over 150,000 enterprise customers.
• Optimized complex database queries and introduced distributed caching strategies, leading to a 20% reduction in average API response times and a 10% decrease in database load.
• Implemented robust unit, integration, and end-to-end tests, increasing code coverage by 15% and reducing production bugs by 12% over two years.
• Participated in an on-call rotation, effectively diagnosing and resolving critical production incidents within an average of 15 minutes, ensuring high system availability.

Software Engineer · Yelp

San Francisco, CA · 2015 - 2018

• Developed and maintained new features for Yelp's consumer-facing web application and API using Python, Django, and PostgreSQL, impacting millions of users monthly.
• Refactored existing codebase sections, improving performance by 10% and significantly enhancing code readability and maintainability.
• Collaborated with product managers and designers to translate user requirements into technical specifications, delivering 5 major features ahead of schedule.
• Contributed to building and maintaining CI/CD pipelines, reducing deployment times by 20% and improving overall development workflow efficiency.

Master of Science in Computer Science · Stanford University

Stanford, CA · 2013 - 2015

• GPA: 3.9/4.0
• Relevant Coursework: Distributed Systems, Advanced Algorithms, Machine Learning
• Thesis: 'Optimizing Real-time Data Streams with Apache Kafka'

Bachelor of Science in Computer Engineering · University of California, Berkeley

Berkeley, CA · 2009 - 2013

• GPA: 3.8/4.0, Magna Cum Laude
• Awards: Dean's List (all semesters)
• Member of IEEE Student Chapter

Lead Quantitative Developer · Two Sigma

New York, NY · 2022 - Present

• Led a team of 5 engineers in designing and implementing a new low-latency execution platform using C++ and proprietary hardware acceleration, reducing average trade execution time by 30% and increasing daily trading volume by 15%.
• Architected and deployed a distributed real-time market data ingestion system capable of processing over 10 million messages per second, ensuring sub-millisecond data availability for critical trading strategies.
• Drove the adoption of modern CI/CD practices and automated testing frameworks, cutting deployment cycles from 2 hours to 15 minutes and reducing critical production bugs by 40%.
• Mentored junior and mid-level developers, fostering a culture of technical excellence and contributing to a 20% increase in team productivity and code quality.

Senior Software Engineer · Goldman Sachs (Global Markets Technology)

New York, NY · 2017 - 2022

• Developed and maintained critical components of a high-performance Java-based trading system, improving system throughput by 25% and reducing memory footprint by 18% through garbage collection tuning and data structure optimization.
• Implemented a new real-time risk calculation engine for derivatives trading, processing over 100,000 risk scenarios per second and enabling traders to manage exposure more effectively, leading to a 5% reduction in unexpected losses.
• Collaborated with quantitative researchers to integrate novel machine learning models into existing trading strategies, resulting in a 7% improvement in predictive accuracy for specific asset classes.
• Led cross-functional initiatives to migrate legacy C++ systems to a modern cloud-native architecture on AWS, achieving a 30% cost reduction in infrastructure and improving system resilience.

Software Engineer · Optiver US

Chicago, IL · 2014 - 2017

• Contributed to the development of a proprietary low-latency market data handler in C++, achieving consistent processing of 1GB/s of order book data with an average latency of 50 microseconds.
• Implemented critical logic for automated trading strategies, including order routing, position management, and basic risk checks, which directly contributed to a consistent daily profit margin increase of 0.2%.
• Optimized network communication protocols for direct market access, reducing round-trip latency to exchanges by an average of 10 microseconds across multiple venues.
• Participated in 24/7 on-call rotation, quickly resolving production issues and maintaining system uptime above 99.99% for critical trading applications.

M.S. in Computer Science · Carnegie Mellon University

Pittsburgh, PA · 2014 - 2016

• Specialization in Distributed Systems and High-Performance Computing
• Thesis: "Optimizing Lock-Free Data Structures for Concurrent Financial Market Data Processing", achieving a 25% reduction in average latency over traditional locking mechanisms.
• Relevant Coursework: Advanced Algorithms, Parallel Computing, Distributed Operating Systems, Machine Learning in Finance.

B.S. in Computer Science, Summa Cum Laude · Carnegie Mellon University

Pittsburgh, PA · 2010 - 2014

• GPA: 3.9/4.0
• Dean's List all semesters
• Awarded University Honors for undergraduate research in real-time embedded systems.