Senior Backend Developer Resume Example

Senior Low-Latency Backend Engineer · Jane Street

New York, NY · 2022 - Present

• Designed and implemented a proprietary market data processing engine in C++, reducing data ingestion latency by 30% (from 50us to 35us) across 15+ exchanges.
• Optimized critical trading path components, leading to a 15% improvement in order placement speed and increasing daily trade volume capacity by 20%.
• Developed and deployed a distributed pricing service using Go and gRPC, supporting real-time valuations for 5000+ financial instruments with sub-millisecond response times.
• Mentored a team of 4 junior engineers, establishing best practices for high-performance code, test-driven development, and system reliability, improving team productivity by 25%.
• Led the migration of legacy Java services to a modern C++/Go microservices architecture, enhancing system stability and reducing operational overhead by 10%.

Backend Software Engineer · Bloomberg LP

New York, NY · 2018 - 2022

• Developed and maintained core components of Bloomberg Terminal's real-time financial data delivery platform using Java, handling over 1 million concurrent connections.
• Engineered a high-throughput data ingestion pipeline for macroeconomic indicators, processing 10GB of data per hour with 99.9% uptime.
• Implemented RESTful APIs for client-facing applications, achieving a 20% reduction in query response times through performance tuning and caching strategies.
• Collaborated with front-end teams to integrate new features, resulting in a 10% increase in user engagement with key data visualizations.

Software Developer · Credit Suisse

New York, NY · 2016 - 2018

• Contributed to the development of an internal risk management system using C#, improving computational efficiency of risk calculations by 25%.
• Built automated data validation tools that reduced manual data reconciliation efforts by 15 hours per week.
• Participated in full software development lifecycle, from requirements gathering to deployment, for fixed income trading support applications.

M.S. in Computer Science · New York University (NYU)

New York, NY · 2015 - 2017

• GPA: 3.8/4.0
• Relevant Coursework: Advanced Algorithms, Distributed Systems, High-Performance Computing, Quantitative Finance
• Thesis: 'Optimizing Cache Coherence Protocols for High-Frequency Trading Systems'

B.S. in Computer Engineering · Georgia Institute of Technology (Georgia Tech)

Atlanta, GA · 2011 - 2015

• Graduated Magna Cum Laude
• Relevant Coursework: Data Structures, Operating Systems, Computer Architecture, Probability and Statistics
• Capstone Project: Designed and implemented a multi-threaded network packet analyzer in C++

Senior Backend Developer · HubSpot

Cambridge, MA · 2021 - Present

• Led the design and implementation of a new microservices architecture for client data synchronization, reducing sync latency by 35% for over 500,000 active users.
• Engineered a high-throughput API gateway using GraphQL and Go, handling over 10,000 requests per second with less than 50ms average response time.
• Mentored a team of 3 junior developers, improving code quality metrics by 20% and accelerating project delivery timelines.
• Optimized database queries and indexing strategies in PostgreSQL, leading to a 40% reduction in database load during peak hours and saving approximately $15k/month in infrastructure costs.
• Introduced automated testing frameworks (JUnit, Mockito) into the CI/CD pipeline, decreasing critical bug occurrences by 25% in production.

Backend Developer · Salesforce

San Francisco, CA · 2017 - 2021

• Developed and maintained critical RESTful APIs for the Sales Cloud platform using Java and Spring Boot, serving over 1 million daily active users.
• Contributed to the migration of legacy monolithic services to a microservices architecture, successfully transitioning 15+ services without downtime.
• Implemented robust data validation and error handling mechanisms, reducing data integrity issues by 30% and improving system reliability.
• Collaborated with frontend teams to integrate new features, resulting in a 10% increase in user engagement for key platform functionalities.

Quantitative Systems Analyst · IBM

Armonk, NY · 2015 - 2017

• Designed and implemented data processing pipelines for financial market analytics using Python and SQL, improving data availability for traders by 20%.
• Developed custom algorithms for real-time risk assessment, reducing potential financial exposure by identifying anomalies 15% faster.
• Optimized existing C++ quantitative models, resulting in a 25% improvement in calculation efficiency and reporting speed.
• Collaborated with data scientists to integrate machine learning models into production systems, enhancing predictive accuracy by 10%.

Master of Science in Computer Science · Georgia Institute of Technology

Atlanta, GA · 2015 - 2017

• GPA: 3.9/4.0, Dean's List (3 semesters)
• Thesis: "Optimizing Distributed Database Query Performance using Machine Learning"
• Key Coursework: Advanced Distributed Systems, Cloud Computing Architectures, Data Stream Processing, Network Security

Bachelor of Science in Applied Mathematics · University of Texas at Austin

Austin, TX · 2011 - 2015

• GPA: 3.8/4.0, Magna Cum Laude
• Honors: Phi Beta Kappa, University Honors Program
• Key Coursework: Advanced Calculus, Linear Algebra, Probability and Statistics, Scientific Computing, Numerical Analysis