Software Engineer III, Equities Technology - C++ Low Latency
Singapore · Full time · Posted 2MO AGO
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Equities Technology (C++ low latency) team under the Commercial and Investment Bank (CIB) Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
As a Software Engineer III at JPMorganChase within the Equities Technology (C++ low latency) team under the Commercial and Investment Bank (CIB) Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Design and implement an Option Market Making and Volatility execution platform across the trading stack
- Develop and optimize performance-critical C++ (C++17/20) components with low-latency focus
- Build low-latency, high-throughput systems handling real-time market data and order flow
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related discipline
- Formal training or certification on software engineering concepts and 2+ years applied experience on software engineering and building trading systems
- Expert proficiency in modern C++ (C++17/20) in performance-critical production systems
- Strong low-latency optimization skills (memory management, data structures, Linux systems programming)
- Experience with TCP/UDP socket programming and real-time messaging architectures
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Knowledge of options, derivatives pricing, Greeks, and market making strategies
- Experience building market data feed handlers and/or order management systems
- Familiarity with exchange connectivity protocols (FIX, native/binary protocols)
- Experience mentoring and developing engineers in a trading technology environment
