Lead Programmer Resume Example

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.

Lead Programmer · Amazon

Seattle, WA · 2023 - Present

• Led a team of 5 software engineers in the development and deployment of a new real-time inventory management service, reducing order fulfillment errors by 12% and improving system throughput by 25%.
• Architected and implemented a serverless data processing pipeline using AWS Lambda and Kinesis, handling over 1 million events per minute with 99.9% uptime and decreasing operational costs by 18%.
• Mentored junior and mid-level engineers, resulting in a 30% increase in team code quality metrics and fostering a strong culture of continuous improvement and knowledge sharing.
• Drove adoption of new testing frameworks and CI/CD practices, accelerating release cycles by 15% and reducing production bug rates by 10% within the first year.

Software Engineer II · Tableau (a Salesforce Company)

Seattle, WA · 2020 - 2022

• Developed critical backend services for Tableau Cloud, contributing to a 10% improvement in query response times for large datasets by optimizing database interactions and caching strategies.
• Implemented new API endpoints for data integration, enabling over 50 enterprise customers to connect diverse data sources, increasing platform adoption by 7%.
• Collaborated with product management to translate complex business requirements into technical specifications, delivering 3 major feature releases ahead of schedule over a two-year period.
• Refactored legacy codebases to enhance maintainability and performance, reducing technical debt by 20% and improving overall system stability.

Technical Program Manager · Lockheed Martin

Marietta, GA · 2016 - 2018

• Managed a portfolio of 4 concurrent engineering projects totaling over $5M, ensuring 100% on-time delivery and adherence to budget through effective resource planning and risk mitigation.
• Designed and implemented a process improvement initiative using Lean methodologies, reducing project lifecycle time by 15% and enhancing cross-functional team collaboration.
• Liaised between technical teams and external stakeholders, streamlining communication and achieving 95% stakeholder satisfaction scores on project outcomes.

Master of Science in Computer Science · University of Washington

Seattle, WA · 2018 - 2020

• Specialization in Distributed Systems and Cloud Computing.
• Relevant Coursework: Advanced Algorithms, Operating Systems, Machine Learning, Database Systems, Cloud Computing Architectures.
• Thesis: 'Scalable Microservice Orchestration in Event-Driven Architectures', achieving 15% latency reduction in simulated high-load scenarios.

Bachelor of Science in Industrial Engineering · Georgia Institute of Technology

Atlanta, GA · 2012 - 2016

• Graduated Cum Laude with a GPA of 3.7/4.0.
• Relevant Coursework: Operations Research, Probability and Statistics, Supply Chain Engineering, System Simulation, Engineering Economics, Data Analytics.
• Developed a simulated logistics model that optimized resource allocation by 20% for a capstone project.